If youโre not using AI, youโre training yourself for a world that no longer exists.
โค1
Forwarded from Kenya Talent Help | Jobs & Opportunities | Jobs in Kenya | Kenya Jobs | Careers | Job Vacancies Kenya
KenyaTrends.co.ke
Apply for the Fully Funded 2027 UGHE Mastercard Foundation Scholars Program - Trends
The 2027 University of Global Health Equity (UGHE) Mastercard Foundation Scholars Program is officially open for applications.
๐จFULLY FUNDED SCHOLARSHIP ALERT
๐Apply for the Fully Funded 2027 UGHE Mastercard Foundation Scholars Program
Key Deadlines & Next Steps
โข Application Deadline:October 25, 2026
โข Program Start:2027 Academic Year
Application Details Here ๐ https://kenyatrends.co.ke/opportunities/apply-for-the-fully-funded-2027-ughe-mastercard-foundation-scholars-program/
๐Apply for the Fully Funded 2027 UGHE Mastercard Foundation Scholars Program
Key Deadlines & Next Steps
โข Application Deadline:October 25, 2026
โข Program Start:2027 Academic Year
Application Details Here ๐ https://kenyatrends.co.ke/opportunities/apply-for-the-fully-funded-2027-ughe-mastercard-foundation-scholars-program/
There is something rewarding about grappling with yourself to attain what you are striving for.
Write the definition of done
I recently became familiar with the concept of ยซdefinition of doneยป. It is a precise statement of a task that can be checked off to see if the task is complete. In my experience, this is most often a list that you can go through before submitting the task. This is something I've used before... If storing everything in your head counts.
Example: we need a product detail screen. The definition of done for it might be this:
โ On this screen we can:
โ View all information about the product;
โ Add the product to favorites, to cart, share this page with others through third-party apps;
โ Rate the product and write a comment;
โ We've updated the documentation;
โ The screen adapts to phone/tablet layout.
It is important not to confuse the definition of done with the terms of reference. That is the technical explanation of how the "share" screen opens or what we make API requests through. The definition of done rather describes the behavior of the application or related changes, such as updating the documentation.
It's somewhat similar to user stories. But while stories describe everything from a business perspective (who the user is, what they want to do and why), the definition of done refers to a specific task with specific conditions. After all, large tasks can be decomposed and for each decomposed task we can also write its own definition of done.
Unlimited Tech Resources Here ๐ t.me/techpsyche
Join Our WhatsApp Channel:
whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
I recently became familiar with the concept of ยซdefinition of doneยป. It is a precise statement of a task that can be checked off to see if the task is complete. In my experience, this is most often a list that you can go through before submitting the task. This is something I've used before... If storing everything in your head counts.
Example: we need a product detail screen. The definition of done for it might be this:
โ On this screen we can:
โ View all information about the product;
โ Add the product to favorites, to cart, share this page with others through third-party apps;
โ Rate the product and write a comment;
โ We've updated the documentation;
โ The screen adapts to phone/tablet layout.
It is important not to confuse the definition of done with the terms of reference. That is the technical explanation of how the "share" screen opens or what we make API requests through. The definition of done rather describes the behavior of the application or related changes, such as updating the documentation.
It's somewhat similar to user stories. But while stories describe everything from a business perspective (who the user is, what they want to do and why), the definition of done refers to a specific task with specific conditions. After all, large tasks can be decomposed and for each decomposed task we can also write its own definition of done.
Unlimited Tech Resources Here ๐ t.me/techpsyche
Join Our WhatsApp Channel:
whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Forwarded from KT Remote Jobs
REMOTE JOB๐ขRole: Software engineer
๐ช Company: Sticker Mule
๐Location: Remote (Global)
๐ Experience Years: Not stated
๐ธ Salary: $150K โ $250K yearly + $20k signing bonus
โฐ Employment Type: Full-time
๐How to Apply:
jobs.ashbyhq.com/stickermule/6db27241-e2d4-4f35-a2c4-b58d84621843
Telegram Channel๐
t.me/remotejobskt
WhatsApp Channel๐
whatsapp.com/channel/0029VageofA3GJP3bu7Wyd37
All the Best๐ฅณ
Junior Developer:
- Doesn't know Regex
- Doesn't know how to test code programmatically
- Doesn't know how to write good technical stories
Mid Level Developer:
- Doesn't know Regex
- Begins to understand how to test code programmatically
- Begins to understand how to write good technical stories
Senior Developer:
- Doesn't know Regex
- Understands how to test code programmatically
- Understands how to write good technical stories
- Doesn't know Regex
- Doesn't know how to test code programmatically
- Doesn't know how to write good technical stories
Mid Level Developer:
- Doesn't know Regex
- Begins to understand how to test code programmatically
- Begins to understand how to write good technical stories
Senior Developer:
- Doesn't know Regex
- Understands how to test code programmatically
- Understands how to write good technical stories
๐คฃ1
โ
๐-๐๐ญ๐๐ฉ ๐๐จ๐๐๐ฆ๐๐ฉ ๐ญ๐จ ๐๐ฐ๐ข๐ญ๐๐ก ๐ข๐ง๐ญ๐จ ๐ญ๐ก๐ ๐๐๐ญ๐ ๐๐ง๐๐ฅ๐ฒ๐ญ๐ข๐๐ฌ ๐
๐ข๐๐ฅ๐โ
๐โโ๏ธ๐๐ฎ๐ข๐ฅ๐ ๐๐๐ฒ ๐๐ค๐ข๐ฅ๐ฅ๐ฌ: Focus on core skillsโExcel, SQL, Power BI, and Python.
๐โโ๏ธ๐๐๐ง๐๐ฌ-๐๐ง ๐๐ซ๐จ๐ฃ๐๐๐ญ๐ฌ: Apply your skills to real-world data sets. Projects like sales analysis or customer segmentation show your practical experience. You can find projects on Youtube.
๐โโ๏ธ๐ ๐ข๐ง๐ ๐ ๐๐๐ง๐ญ๐จ๐ซ: Connect with someone experienced in data analytics for guidance(like me ๐ ). They can provide valuable insights, feedback, and keep you on track.
๐โโ๏ธ๐๐ซ๐๐๐ญ๐ ๐๐จ๐ซ๐ญ๐๐จ๐ฅ๐ข๐จ: Compile your projects in a portfolio or on GitHub. A solid portfolio catches a recruiterโs eye.
๐โโ๏ธ๐๐ซ๐๐๐ญ๐ข๐๐ ๐๐จ๐ซ ๐๐ง๐ญ๐๐ซ๐ฏ๐ข๐๐ฐ๐ฌ: Practice SQL queries and Python coding challenges on Hackerrank & LeetCode. Strengthening your problem-solving skills will prepare you for interviews.
Data Analytics Courses: t.me/dataanalysisresourcestp/69
Best Data Analytics Resources: topmate.io/learning_resources/1456762/
Follow This WhatsApp Channel for More Resources:
whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
๐โโ๏ธ๐๐ฎ๐ข๐ฅ๐ ๐๐๐ฒ ๐๐ค๐ข๐ฅ๐ฅ๐ฌ: Focus on core skillsโExcel, SQL, Power BI, and Python.
๐โโ๏ธ๐๐๐ง๐๐ฌ-๐๐ง ๐๐ซ๐จ๐ฃ๐๐๐ญ๐ฌ: Apply your skills to real-world data sets. Projects like sales analysis or customer segmentation show your practical experience. You can find projects on Youtube.
๐โโ๏ธ๐ ๐ข๐ง๐ ๐ ๐๐๐ง๐ญ๐จ๐ซ: Connect with someone experienced in data analytics for guidance(like me ๐ ). They can provide valuable insights, feedback, and keep you on track.
๐โโ๏ธ๐๐ซ๐๐๐ญ๐ ๐๐จ๐ซ๐ญ๐๐จ๐ฅ๐ข๐จ: Compile your projects in a portfolio or on GitHub. A solid portfolio catches a recruiterโs eye.
๐โโ๏ธ๐๐ซ๐๐๐ญ๐ข๐๐ ๐๐จ๐ซ ๐๐ง๐ญ๐๐ซ๐ฏ๐ข๐๐ฐ๐ฌ: Practice SQL queries and Python coding challenges on Hackerrank & LeetCode. Strengthening your problem-solving skills will prepare you for interviews.
Data Analytics Courses: t.me/dataanalysisresourcestp/69
Best Data Analytics Resources: topmate.io/learning_resources/1456762/
Follow This WhatsApp Channel for More Resources:
whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Forwarded from Free Courses: Google | Microsoft | Udemy | Coursera | IBM | NVIDIA | LinkedIn Learning | MIT | Udemy Coupons & PDF Books
๐ป Learn Computer Science from Harvard, Stanford, IBM, Microsoft, Google ๐ป
โฏ JavaScript
http://learn.microsoft.com/training/paths/web-development-101/
https://t.me/javascriptresourcestp
โฏ TypeScript
http://learn.microsoft.com/training/paths/build-javascript-applications-typescript/
โฏ Mathematics (incl. Statistics)
ocw.mit.edu/search/?d=Mathematics&s=department_course_numbers.sort_coursenum
โฏ Data Science
cognitiveclass.ai/courses/data-science-101
https://t.me/datascienceresourcestp
โฏ C#
http://learn.microsoft.com/users/dotnet/collections/yz26f8y64n7k07
Microsoft Free Courses: https://t.me/freecoursescentre/159
More Resources Here
https://whatsapp.com/channel/0029Vatt3A635fLoJKXrp71G
โฏ JavaScript
http://learn.microsoft.com/training/paths/web-development-101/
https://t.me/javascriptresourcestp
โฏ TypeScript
http://learn.microsoft.com/training/paths/build-javascript-applications-typescript/
โฏ Mathematics (incl. Statistics)
ocw.mit.edu/search/?d=Mathematics&s=department_course_numbers.sort_coursenum
โฏ Data Science
cognitiveclass.ai/courses/data-science-101
https://t.me/datascienceresourcestp
โฏ C#
http://learn.microsoft.com/users/dotnet/collections/yz26f8y64n7k07
Microsoft Free Courses: https://t.me/freecoursescentre/159
More Resources Here
https://whatsapp.com/channel/0029Vatt3A635fLoJKXrp71G
๐ป Monday Reminder for Beginner Devs
If you didnโt start last week, start today.
If you struggled last week, this week will be better.
If you started last week and continued today, youโre building consistency.
Keep showing up.
Do it for 4 weeks straight, and youโll start to feel the shift.
But donโt slow down then make sure to keep the monumentum. Speed up. Keep going. Thatโs how progress compounds.
๐ t.me/techpsyche
If you didnโt start last week, start today.
If you struggled last week, this week will be better.
If you started last week and continued today, youโre building consistency.
Keep showing up.
Do it for 4 weeks straight, and youโll start to feel the shift.
But donโt slow down then make sure to keep the monumentum. Speed up. Keep going. Thatโs how progress compounds.
๐ t.me/techpsyche
โค1
Meta releases its first frontier model, Muse Wonder
Meta's Superintelligence Lab has launched its first frontier AI models, Muse Wonder and Muse Wonder Full. Larger and more capable than the previous lightweight Muse Spark, these new models perform strongly on complex tasks like coding and rival competitors like Fable 5.1 and GPT-6 Astra.
A standout feature is "active memory," allowing the models to retain and synthesize user information over extended periods, scoring highest on the MemoryBench framework.
Trained at Meta's Prometheus data center in Ohio, the standard Wonder model is available via the Meta Model API at $4 per million input tokens and $20 per million output tokens. Meanwhile, the advanced Wonder Full variant is restricted exclusively to Muse Code subscribers and will power the ongoing Muse agent ecosystem.
๐ t.me/techpsyche
Meta's Superintelligence Lab has launched its first frontier AI models, Muse Wonder and Muse Wonder Full. Larger and more capable than the previous lightweight Muse Spark, these new models perform strongly on complex tasks like coding and rival competitors like Fable 5.1 and GPT-6 Astra.
A standout feature is "active memory," allowing the models to retain and synthesize user information over extended periods, scoring highest on the MemoryBench framework.
Trained at Meta's Prometheus data center in Ohio, the standard Wonder model is available via the Meta Model API at $4 per million input tokens and $20 per million output tokens. Meanwhile, the advanced Wonder Full variant is restricted exclusively to Muse Code subscribers and will power the ongoing Muse agent ecosystem.
๐ t.me/techpsyche
Forwarded from Artificial Intelligence Resources TP . AI Tools . AI Updates
Complete Roadmap to learn Generative AI in 2 months ๐๐
Weeks 1-2: Foundations
1. Learn Basics of Python: If not familiar, grasp the fundamentals of Python, a widely used language in AI.
2. Understand Linear Algebra and Calculus: Brush up on basic linear algebra and calculus as they form the foundation of machine learning.
Weeks 3-4: Machine Learning Basics
1. Study Machine Learning Fundamentals: Understand concepts like supervised learning, unsupervised learning, and evaluation metrics.
2. Get Familiar with TensorFlow or PyTorch: Choose one deep learning framework and learn its basics.
Weeks 5-6: Deep Learning
1. Neural Networks: Dive into neural networks, understanding architectures, activation functions, and training processes.
2. CNNs and RNNs: Learn Convolutional Neural Networks (CNNs) for image data and Recurrent Neural Networks (RNNs) for sequential data.
Weeks 7-8: Generative Models
1. Understand Generative Models: Study the theory behind generative models, focusing on GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
2. Hands-On Projects: Implement small generative projects to solidify your understanding. Experimenting with generative models will give you a deeper understanding of how they work. You can use platforms such as Google's Colab or Kaggle to experiment with different types of generative models.
Additional Tips:
- Read Research Papers: Explore seminal papers on GANs and VAEs to gain a deeper insight into their workings.
- Community Engagement: Join AI communities on platforms like Reddit or Stack Overflow to ask questions and learn from others.
Pro Tip: Roadmap won't help unless you start working on it consistently. Start working on projects as early as possible.
2 months are good as a starting point to get grasp the basics of Generative AI but mastering it is very difficult as AI keeps evolving every day.
Best Resources to learn Generative AI ๐๐
Google Cloud Generative AI Path (https://www.cloudskillsboost.google/paths/118)
AI,Data Science & ML Resources: https://topmate.io/learning_resources/1406977
AI, ML & Deep Learning (httpst.me/airesourcestp/24)
NVIDIA AI & LLM Courses: https://intercomuniversity.com/free-courses/artificial-intelligence/nvidia-is-offering-6-ai-llm-courses-for-free/
Learn Python for Free (https://t.me/pythonresourcestp/22)
AI Cheat Sheet: https://t.me/airesourcestp/15
Prompt Engineering Course (https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/)
Prompt Engineering Guide (https://www.promptingguide.ai/)
Data Science Course (https://365datascience.pxf.io/Z6KDgk)
Machine Learning with Python Free Course (https://www.freecodecamp.org/learn/machine-learning-with-python/)
Machine Learning Free Book (https://t.me/mlresourcestp/16)
Resources WhatsApp channel (https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R)
Hands-on Machine Learning (https://t.me/mlresourcestp/19)
Deep Learning Nanodegree Program with Real-world Projects (https://www.udacity.com/course/deep-learning-nanodegree--nd101)
Like this post for more roadmaps โค๏ธ
ENJOY LEARNING๐๐
More Resources on this WhatsApp Channel
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Weeks 1-2: Foundations
1. Learn Basics of Python: If not familiar, grasp the fundamentals of Python, a widely used language in AI.
2. Understand Linear Algebra and Calculus: Brush up on basic linear algebra and calculus as they form the foundation of machine learning.
Weeks 3-4: Machine Learning Basics
1. Study Machine Learning Fundamentals: Understand concepts like supervised learning, unsupervised learning, and evaluation metrics.
2. Get Familiar with TensorFlow or PyTorch: Choose one deep learning framework and learn its basics.
Weeks 5-6: Deep Learning
1. Neural Networks: Dive into neural networks, understanding architectures, activation functions, and training processes.
2. CNNs and RNNs: Learn Convolutional Neural Networks (CNNs) for image data and Recurrent Neural Networks (RNNs) for sequential data.
Weeks 7-8: Generative Models
1. Understand Generative Models: Study the theory behind generative models, focusing on GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
2. Hands-On Projects: Implement small generative projects to solidify your understanding. Experimenting with generative models will give you a deeper understanding of how they work. You can use platforms such as Google's Colab or Kaggle to experiment with different types of generative models.
Additional Tips:
- Read Research Papers: Explore seminal papers on GANs and VAEs to gain a deeper insight into their workings.
- Community Engagement: Join AI communities on platforms like Reddit or Stack Overflow to ask questions and learn from others.
Pro Tip: Roadmap won't help unless you start working on it consistently. Start working on projects as early as possible.
2 months are good as a starting point to get grasp the basics of Generative AI but mastering it is very difficult as AI keeps evolving every day.
Best Resources to learn Generative AI ๐๐
Google Cloud Generative AI Path (https://www.cloudskillsboost.google/paths/118)
AI,Data Science & ML Resources: https://topmate.io/learning_resources/1406977
AI, ML & Deep Learning (httpst.me/airesourcestp/24)
NVIDIA AI & LLM Courses: https://intercomuniversity.com/free-courses/artificial-intelligence/nvidia-is-offering-6-ai-llm-courses-for-free/
Learn Python for Free (https://t.me/pythonresourcestp/22)
AI Cheat Sheet: https://t.me/airesourcestp/15
Prompt Engineering Course (https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/)
Prompt Engineering Guide (https://www.promptingguide.ai/)
Data Science Course (https://365datascience.pxf.io/Z6KDgk)
Machine Learning with Python Free Course (https://www.freecodecamp.org/learn/machine-learning-with-python/)
Machine Learning Free Book (https://t.me/mlresourcestp/16)
Resources WhatsApp channel (https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R)
Hands-on Machine Learning (https://t.me/mlresourcestp/19)
Deep Learning Nanodegree Program with Real-world Projects (https://www.udacity.com/course/deep-learning-nanodegree--nd101)
Like this post for more roadmaps โค๏ธ
ENJOY LEARNING๐๐
More Resources on this WhatsApp Channel
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Forwarded from Artificial Intelligence Resources TP . AI Tools . AI Updates
BEST AI TRANSLATORS
เน Wordvice AI Translator (https://wordvice.ai/tools/translate): AI-powered translator for instant, accurate translations between any languages using neural machine translation. Ensures natural, precise results.
เน Alexa Translations (https://alexatranslations.com/): Top tool for legal and financial industries, often integrated into human translator's services. Translates documents in seconds.
เน Bing Microsoft Translator (https://www.bing.com/translator): Offers text and speech translation via the cloud with over 100 language support. Distinguishes itself by options for image, voice and link translations.
เน Taia (https://taia.io/): Combines AI with human translators for 97 language support. Provides instant rate estimates with 99.4% satisfaction. Supports long-term translation projects.
เน Mirai Translate (https://miraitranslate.com/): Cloud-based API for neural machine translations used by large corporations. Compatible with multiple file formats and languages.
เน Sonix (https://sonix.ai/translation): Audio translator that converts, edits and organizes audio files for video creators. Allows tweaking transcripts before automated translation.
เน Google Lens (https://lens.google/): Real-time translation of over 100 languages using the camera. Translate text on signs, menus, and documents instantly. Integrated into Google Photos and the Google app for translating saved images and screenshots.
เน Google Translate (https://translate.google.com/): Free online machine translation tool that allows you to translate text, documents, and websites from one language into another. Provides translation for over 100 languages.
เน DeepL (https://www.deepl.com/en/translator): Translates 25+ languages with no text limit. Known for its accurate translations, intuitive interface and integration into Windows and iOS. Retains formatting of original document.
เน Machine Translation (https://www.machinetranslation.com/): Unique tool that analyzes and recommends the best machine translation for any text/language pair using GPT-4. Considers context and nuances to improve accuracy.
26 Top AI Tools๐
https://t.me/airesourcestp/79
Top AI Tools for Marketers๐
https://t.me/airesourcestp/78
More Resources Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
เน Wordvice AI Translator (https://wordvice.ai/tools/translate): AI-powered translator for instant, accurate translations between any languages using neural machine translation. Ensures natural, precise results.
เน Alexa Translations (https://alexatranslations.com/): Top tool for legal and financial industries, often integrated into human translator's services. Translates documents in seconds.
เน Bing Microsoft Translator (https://www.bing.com/translator): Offers text and speech translation via the cloud with over 100 language support. Distinguishes itself by options for image, voice and link translations.
เน Taia (https://taia.io/): Combines AI with human translators for 97 language support. Provides instant rate estimates with 99.4% satisfaction. Supports long-term translation projects.
เน Mirai Translate (https://miraitranslate.com/): Cloud-based API for neural machine translations used by large corporations. Compatible with multiple file formats and languages.
เน Sonix (https://sonix.ai/translation): Audio translator that converts, edits and organizes audio files for video creators. Allows tweaking transcripts before automated translation.
เน Google Lens (https://lens.google/): Real-time translation of over 100 languages using the camera. Translate text on signs, menus, and documents instantly. Integrated into Google Photos and the Google app for translating saved images and screenshots.
เน Google Translate (https://translate.google.com/): Free online machine translation tool that allows you to translate text, documents, and websites from one language into another. Provides translation for over 100 languages.
เน DeepL (https://www.deepl.com/en/translator): Translates 25+ languages with no text limit. Known for its accurate translations, intuitive interface and integration into Windows and iOS. Retains formatting of original document.
เน Machine Translation (https://www.machinetranslation.com/): Unique tool that analyzes and recommends the best machine translation for any text/language pair using GPT-4. Considers context and nuances to improve accuracy.
26 Top AI Tools๐
https://t.me/airesourcestp/79
Top AI Tools for Marketers๐
https://t.me/airesourcestp/78
More Resources Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
I got a lot of request from users asking for help in refining resume. So, I thought to share some valuable tips in this post itself for everyone's benefit.
Here are some few key points to note while refining your resume:
Format and Design: Keep your resume clean and professional. Use a modern and easy-to-read font. Utilize clear headings and bullet points for a structured look.
Contact Information: Include your name, phone number, professional email address, and LinkedIn profile (if applicable) at the top of the resume.
Summary or Objective: Write a concise summary or objective statement that highlights your career goals and what you bring to the table.
Professional Experience: List your work experience in reverse chronological order (most recent first). Use action verbs to describe your accomplishments and focus on quantifiable achievements.
Skills: Highlight relevant technical and soft skills. Tailor this section to the specific job you're applying for.
Education: Include your educational background, listing your most recent degree first. Mention any honors or relevant coursework.
Certifications and Training: If you have relevant certifications or training, list them here.
Projects or Portfolio: Showcase any significant projects or a portfolio of your work if it's relevant to the position.
Keywords: Customize your resume for each job application by incorporating keywords from the job posting. This can help your resume pass through applicant tracking systems (ATS).
Proofread: Carefully proofread your resume for grammar and spelling errors. Consider having someone else review it as well.
Tailor Each Resume: Customize your resume for each job application to emphasize the skills and experiences most relevant to that position.
Quantify Achievements: Whenever possible, use specific numbers or percentages to quantify your achievements. This adds credibility to your claims.
Use Action Words: Start bullet points with strong action verbs like "managed," "achieved," "led," etc.
Keep it Concise: Aim for a resume length of one page for less experienced candidates and up to two pages for more experienced professionals.
Update Regularly: Continuously update your resume to reflect your latest experiences and accomplishments.
Seek Feedback: Don't hesitate to seek feedback from mentors, career advisors, or professional colleagues to improve your resume.
Remember that your resume is your marketing tool, so it should effectively communicate your qualifications and value to potential employers. Tailoring it to each job application and staying up-to-date with current resume trends is crucial for success in 2025.
Hope it helps :)
Sample email template to reach out to HRโs as fresher: t.me/techpsyche/1900
10 CV Mistakes You Need to Avoid: t.me/techpsyche/475
All the best ๐๐
Join Our WhatsApp Channel for Job Opportunities & CV Tips
whatsapp.com/channel/0029VageofA3GJP3bu7Wyd37
Here are some few key points to note while refining your resume:
Format and Design: Keep your resume clean and professional. Use a modern and easy-to-read font. Utilize clear headings and bullet points for a structured look.
Contact Information: Include your name, phone number, professional email address, and LinkedIn profile (if applicable) at the top of the resume.
Summary or Objective: Write a concise summary or objective statement that highlights your career goals and what you bring to the table.
Professional Experience: List your work experience in reverse chronological order (most recent first). Use action verbs to describe your accomplishments and focus on quantifiable achievements.
Skills: Highlight relevant technical and soft skills. Tailor this section to the specific job you're applying for.
Education: Include your educational background, listing your most recent degree first. Mention any honors or relevant coursework.
Certifications and Training: If you have relevant certifications or training, list them here.
Projects or Portfolio: Showcase any significant projects or a portfolio of your work if it's relevant to the position.
Keywords: Customize your resume for each job application by incorporating keywords from the job posting. This can help your resume pass through applicant tracking systems (ATS).
Proofread: Carefully proofread your resume for grammar and spelling errors. Consider having someone else review it as well.
Tailor Each Resume: Customize your resume for each job application to emphasize the skills and experiences most relevant to that position.
Quantify Achievements: Whenever possible, use specific numbers or percentages to quantify your achievements. This adds credibility to your claims.
Use Action Words: Start bullet points with strong action verbs like "managed," "achieved," "led," etc.
Keep it Concise: Aim for a resume length of one page for less experienced candidates and up to two pages for more experienced professionals.
Update Regularly: Continuously update your resume to reflect your latest experiences and accomplishments.
Seek Feedback: Don't hesitate to seek feedback from mentors, career advisors, or professional colleagues to improve your resume.
Remember that your resume is your marketing tool, so it should effectively communicate your qualifications and value to potential employers. Tailoring it to each job application and staying up-to-date with current resume trends is crucial for success in 2025.
Hope it helps :)
Sample email template to reach out to HRโs as fresher: t.me/techpsyche/1900
10 CV Mistakes You Need to Avoid: t.me/techpsyche/475
All the best ๐๐
Join Our WhatsApp Channel for Job Opportunities & CV Tips
whatsapp.com/channel/0029VageofA3GJP3bu7Wyd37