PrepNPlaced
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๐Ÿš€ Welcome to the Elite Data Engineering & Agentic AI Hub! ๐Ÿš€

๐Ÿ‘‘ Community Creator: Mandar Patil
๐Ÿ‘จโ€๐Ÿ’ป Admin & Mentor: Durgesh Yadav

The era of basic data tasks is over. With Agentic AI evolving the industry, up to 60% of traditional Data Analyst roles
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Kirana club is looking for interns and full time roles, if you are interested you can apply by fill out this form
Apply: https://docs.google.com/forms/d/e/1FAIpQLSfzxtwQe2CTFfqbUt99DnbNiP1rQF_haRpC7Ppt9kftEck4Lg/viewform
Company Name: Cashfree Payments
Role: Technical Solution Engineer -1 
Eligibility: those who are good in communication and proficient in Java, SQL having atleast 6 months of internship experience.

Apply: https://docs.google.com/forms/d/e/1FAIpQLScfV88cFtnZZDwP7SepjHdUqrfBPDqvjf906XUYH4nj6jSD8g/viewform
Mynd Frontend Developer Job
For 4+ YOE
Location: Remote
https://cuvette.tech/app/public/job/65a7e6fddd804e1224ae8be8


Alemeno Backend Developer Job
For 2023/2022/2021 Grads
https://cuvette.tech/app/public/job/65a93b1a199f261cf9858abd
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Company Name: TalentMaze
Role: Software Engineer Intern
Stipend: USD 300 per month
Batch eligible: 2024, 2025 and 2026 passouts
Location: Remote
https://www.linkedin.com/jobs/view/3805016840/
Internship Opportunities

Airbus is hiring for the role of Data Analyst Intern
Location: Bangalore

Students 3rd or 4th year engineering, 3rd year bachelors, masters in computer science or related field.
https://unstop.com/internships/data-analyst-internship-airbus-871279
Google STEP Intern (Last Date is 19-01-2023)
Batch: 2026 passouts (2nd year students)
Duration: 10-12 weeks
Location: Bengaluru/Hyderabad/Pune
Expected Stipend: INR 1.25 Lacs per month

https://www.google.com/about/careers/applications/jobs/results/99460232238768838-software-student-training-in-engineering-program-step-intern-2024
PrepNPlaced pinned ยซGoogle STEP Intern (Last Date is 19-01-2023) Batch: 2026 passouts (2nd year students) Duration: 10-12 weeks Location: Bengaluru/Hyderabad/Pune Expected Stipend: INR 1.25 Lacs per month https://www.google.com/about/careers/applications/jobs/results/99460232238768838โ€ฆยป
๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—ฅ๐—ผ๐—ฎ๐—ฑ๐—บ๐—ฎ๐—ฝ ๐—ณ๐—ผ๐—ฟ ๐—ฏ๐—ฒ๐—ด๐—ถ๐—ป๐—ป๐—ฒ๐—ฟ๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—ณ๐—ฟ๐—ฒ๐—ฒ ๐—ฐ๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ

https://www.linkedin.com/posts/mandarmpatil_data-science-roadmap-2024-activity-7153936611049648128-IIiI
SimbaQuartz hiring below mentioned profiles on an urgent basis.

Job_Profiles:-
โœ”๏ธSEO Experts
โœ”๏ธDigital Marketing Managers
โœ…CTC - 6 to 9 LPA
โœ”๏ธHuman Resource Executive (IT)
โœ…CTC - 3 to 4 LPA

Location : Amritsar
Work from office!
https://www.linkedin.com/posts/vishal-khanna-b852623a_hiring-jobabrprofiles-references-activity-7153958993617424384-2r6a
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๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ค๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€ ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ

https://www.linkedin.com/posts/mandarmpatil_data-science-interview-questions-activity-7154057731744661506-416H
๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ค๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€ ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ

Get ready for your next data science interview with these key questions:

1. What is Data Science, and how does it differ from traditional statistics?

2. Explain the Data Science lifecycle, including key stages.

3. What is the difference between supervised and unsupervised learning?

4. Define the terms: precision, recall, and F1 score. How are they used in evaluating classification models?

5. What is the curse of dimensionality, and how does it impact machine learning models?

6. Explain the concept of feature engineering. Why is it important in machine learning?

7. What is cross-validation, and why is it used in machine learning?

8. Discuss the difference between overfitting and underfitting in the context of machine learning models.

9. How does regularization prevent overfitting in machine learning models?

10. Explain the difference between bagging and boosting in ensemble learning.

11. What is the purpose of A/B testing in data science?

12. Describe the steps involved in cleaning and preprocessing data for analysis.

13. What is the significance of the term "p-value" in statistics and hypothesis testing?

14. How does a decision tree work, and what are its advantages and disadvantages?

15. What is clustering, and provide examples of algorithms used for clustering in data science.

16. How do you handle imbalanced datasets in machine learning?

17. Discuss the importance of feature scaling in machine learning models.

18. Explain the concept of bias-variance tradeoff. How does it impact model performance?

19. What is the role of Principal Component Analysis (PCA) in dimensionality reduction?

20. How do you deploy a machine learning model in a production environment?

๐ŸŒŸ Free Data Science Learning Resources:

https://www.w3schools.com/datascience/

https://www.geeksforgeeks.org/data-science-tutorial/

https://www.simplilearn.com/tutorials/data-science-tutorial

๐Ÿ“˜ GitHub: https://github.com/academic/awesome-datascience

๐Ÿ“˜ Free Data Science Courses - https://www.linkedin.com/posts/mandarmpatil_data-science-roadmap-2024-activity-7153936611049648128-IIiI

1๏ธโƒฃ SQL Interview Questions: https://lnkd.in/dG3kxd8b

2๏ธโƒฃ Python Interview Questions: https://lnkd.in/dPtKhAEP

3๏ธโƒฃ Power BI Interview Questions: https://www.linkedin.com/posts/mandarmpatil_power-bi-interview-questions-activity-7131951756309102593-GDiv

4๏ธโƒฃ Excel Interview Questions: https://lnkd.in/djiPJZ2S

Till then keep learning and keep exploring ๐Ÿ™Œ
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