Citi is hiring!
Position: Business Analytics Analyst
Qualification: Bachelorโs/ Masterโs Degree
Salary: 6 - 10 LPA (Expected)
Experienc๏ปฟe: Freshers (0 - 2 Years)
Location: Bengaluru; Pune, India (Hybrid)
๐Apply Now: https://jobs.citi.com/job/-/-/287/77734362704
https://jobs.citi.com/job/-/-/287/77640579344
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Position: Business Analytics Analyst
Qualification: Bachelorโs/ Masterโs Degree
Salary: 6 - 10 LPA (Expected)
Experienc๏ปฟe: Freshers (0 - 2 Years)
Location: Bengaluru; Pune, India (Hybrid)
๐Apply Now: https://jobs.citi.com/job/-/-/287/77734362704
https://jobs.citi.com/job/-/-/287/77640579344
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๐5
InMobi is hiring Data Analyst ๐
Experience : Freshers
Location : Bangalore
Apply link : https://boards.greenhouse.io/inmobi/jobs/6642080
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Experience : Freshers
Location : Bangalore
Apply link : https://boards.greenhouse.io/inmobi/jobs/6642080
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๐4
EY is hiring!
Position: Data Analyst
Qualifications: Bachelor's/ Master's degree
Salary: 4 -8 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bengaluru, India
๐Apply Now: https://careers.ey.com/ey/job/Bengaluru-GCR-Data-CoE-Advanced-Analyst-KA-560016/1171220301/
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Position: Data Analyst
Qualifications: Bachelor's/ Master's degree
Salary: 4 -8 LPA (Expected)
Experience: Freshers/ Experienced
Location: Bengaluru, India
๐Apply Now: https://careers.ey.com/ey/job/Bengaluru-GCR-Data-CoE-Advanced-Analyst-KA-560016/1171220301/
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๐3โค2
4 Career Paths In Data Analytics
1) Data Analyst:
Role: Data Analysts interpret data and provide actionable insights through reports and visualizations.
They focus on querying databases, analyzing trends, and creating dashboards to help businesses make data-driven decisions.
Skills: Proficiency in SQL, Excel, data visualization tools (like Tableau or Power BI), and a good grasp of statistics.
Typical Tasks: Generating reports, creating visualizations, identifying trends and patterns, and presenting findings to stakeholders.
2)Data Scientist:
Role: Data Scientists use advanced statistical techniques, machine learning algorithms, and programming to analyze and interpret complex data.
They develop models to predict future trends and solve intricate problems.
Skills: Strong programming skills (Python, R), knowledge of machine learning, statistical analysis, data manipulation, and data visualization.
Typical Tasks: Building predictive models, performing complex data analyses, developing machine learning algorithms, and working with big data technologies.
3)Business Intelligence (BI) Analyst:
Role: BI Analysts focus on leveraging data to help businesses make strategic decisions.
They create and manage BI tools and systems, analyze business performance, and provide strategic recommendations.
Skills: Experience with BI tools (such as Power BI, Tableau, or Qlik), strong analytical skills, and knowledge of business operations and strategy.
Typical Tasks: Designing and maintaining dashboards and reports, analyzing business performance metrics, and providing insights for strategic planning.
4)Data Engineer:
Role: Data Engineers build and maintain the infrastructure required for data generation, storage, and processing. They ensure that data pipelines are efficient and reliable, and they prepare data for analysis.
Skills: Proficiency in programming languages (such as Python, Java, or Scala), experience with database management systems (SQL and NoSQL), and knowledge of data warehousing and ETL (Extract, Transform, Load) processes.
Typical Tasks: Designing and building data pipelines, managing and optimizing databases, ensuring data quality, and collaborating with data scientists and analysts.
1) Data Analyst:
Role: Data Analysts interpret data and provide actionable insights through reports and visualizations.
They focus on querying databases, analyzing trends, and creating dashboards to help businesses make data-driven decisions.
Skills: Proficiency in SQL, Excel, data visualization tools (like Tableau or Power BI), and a good grasp of statistics.
Typical Tasks: Generating reports, creating visualizations, identifying trends and patterns, and presenting findings to stakeholders.
2)Data Scientist:
Role: Data Scientists use advanced statistical techniques, machine learning algorithms, and programming to analyze and interpret complex data.
They develop models to predict future trends and solve intricate problems.
Skills: Strong programming skills (Python, R), knowledge of machine learning, statistical analysis, data manipulation, and data visualization.
Typical Tasks: Building predictive models, performing complex data analyses, developing machine learning algorithms, and working with big data technologies.
3)Business Intelligence (BI) Analyst:
Role: BI Analysts focus on leveraging data to help businesses make strategic decisions.
They create and manage BI tools and systems, analyze business performance, and provide strategic recommendations.
Skills: Experience with BI tools (such as Power BI, Tableau, or Qlik), strong analytical skills, and knowledge of business operations and strategy.
Typical Tasks: Designing and maintaining dashboards and reports, analyzing business performance metrics, and providing insights for strategic planning.
4)Data Engineer:
Role: Data Engineers build and maintain the infrastructure required for data generation, storage, and processing. They ensure that data pipelines are efficient and reliable, and they prepare data for analysis.
Skills: Proficiency in programming languages (such as Python, Java, or Scala), experience with database management systems (SQL and NoSQL), and knowledge of data warehousing and ETL (Extract, Transform, Load) processes.
Typical Tasks: Designing and building data pipelines, managing and optimizing databases, ensuring data quality, and collaborating with data scientists and analysts.
๐7โค2
Deutsche Bank is hiring!
Position: Data Analyst
Qualification: Bachelorโs/ Masterโs Degree
Salary: 7 - 15 LPA (Expected)
Experienc๏ปฟe: Freshers/ Experienced
Location: Bangalore, India
๐Apply Link: https://careers.db.com/professionals/search-roles/?test.html%3Fkid%3D=linkedinjobwrap#/professional/job/60702
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Position: Data Analyst
Qualification: Bachelorโs/ Masterโs Degree
Salary: 7 - 15 LPA (Expected)
Experienc๏ปฟe: Freshers/ Experienced
Location: Bangalore, India
๐Apply Link: https://careers.db.com/professionals/search-roles/?test.html%3Fkid%3D=linkedinjobwrap#/professional/job/60702
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๐6โค1
Flexera - Work From Home
Position: Junior Payroll Analyst
Qualifications: Bachelor's Degree/ Diploma
Salary: 7 - 10 LPA (Expected)
Experience: Freshers/ Experienced
Location: Work From Home (Remote)
๏ปฟ
๐Apply Now: https://flexerasoftware.wd1.myworkdayjobs.com/en-US/FlexeraSoftware/job/Junior-Payroll-Analyst_15185
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Position: Junior Payroll Analyst
Qualifications: Bachelor's Degree/ Diploma
Salary: 7 - 10 LPA (Expected)
Experience: Freshers/ Experienced
Location: Work From Home (Remote)
๏ปฟ
๐Apply Now: https://flexerasoftware.wd1.myworkdayjobs.com/en-US/FlexeraSoftware/job/Junior-Payroll-Analyst_15185
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KINETIQ is hiring Research Analyst ๐
Qualification : Bachelor's degree
Experience : Freshers / Experienced
Location : Remote
Apply link : https://www.linkedin.com/jobs/view/4163793551
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Qualification : Bachelor's degree
Experience : Freshers / Experienced
Location : Remote
Apply link : https://www.linkedin.com/jobs/view/4163793551
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๐2
Advarra Internship, 2025!
Position: Data Engineering Intern
Qualifications: Bachelorโs Degree
Salary: โน35,000 Per Month (Expected)
Batch: 2024/ 2025/ 2026/ 2027
Experience: Freshers
Location: Bengaluru, India
๐Apply Now: https://recruiting.ultipro.com/ADV1023AVR/JobBoard/6051d363-03fe-4650-945e-f836306a8388/OpportunityDetail?opportunityId=0a4abc5f-802d-4902-b8e4-4b14a3069684
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Position: Data Engineering Intern
Qualifications: Bachelorโs Degree
Salary: โน35,000 Per Month (Expected)
Batch: 2024/ 2025/ 2026/ 2027
Experience: Freshers
Location: Bengaluru, India
๐Apply Now: https://recruiting.ultipro.com/ADV1023AVR/JobBoard/6051d363-03fe-4650-945e-f836306a8388/OpportunityDetail?opportunityId=0a4abc5f-802d-4902-b8e4-4b14a3069684
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PRODAPT is Hiring for TABLEAU DEVELOPER
Apply Now:- https://careers.prodapt.com/jobs/16472?lang=en-us&mode=apply&iis=LinkedIn
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Apply Now:- https://careers.prodapt.com/jobs/16472?lang=en-us&mode=apply&iis=LinkedIn
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Wipro is hiring!
Position: Associate Analyst
Qualification: Bachelorโs/ Masterโs Degree
Salary: 3.5 - 6 LPA (Expected)
Experienc๏ปฟe: Freshers
Location: Chennai; Mumbai, India
๐Apply Now: https://careers.wipro.com/job/Chennai-Associate-Analyst-600119/1147831055/
https://careers.wipro.com/job/Mumbai-Associate-Analyst-400708/1148284555/
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Position: Associate Analyst
Qualification: Bachelorโs/ Masterโs Degree
Salary: 3.5 - 6 LPA (Expected)
Experienc๏ปฟe: Freshers
Location: Chennai; Mumbai, India
๐Apply Now: https://careers.wipro.com/job/Chennai-Associate-Analyst-600119/1147831055/
https://careers.wipro.com/job/Mumbai-Associate-Analyst-400708/1148284555/
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๐5โค1
Cognizant hiring Data Analyst
Experienc๏ปฟe: 0 - 3 Years
Apply Link: https://careers.cognizant.com/india-en/jobs/00061975521/trainee-junior-data-analyst/
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Experienc๏ปฟe: 0 - 3 Years
Apply Link: https://careers.cognizant.com/india-en/jobs/00061975521/trainee-junior-data-analyst/
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๐2
Must Study: These are the important Questions for Data Analyst 2.O
Advanced SQL
1. How do you handle recursive queries in SQL Server?
2. What are the differences between clustered and non-clustered indexes?
3. How do you use JSON functions in SQL Server to parse and query JSON data?
Excel Advanced
1. How do you use Power Pivot for data modeling in Excel?
2. Explain how to use the XLOOKUP function and its advantages over VLOOKUP.
3. How do you create and use custom functions with LAMBDA in Excel?
Power BI
1. How do you use DAX functions for advanced calculations in Power BI?
2. What are the best practices for creating a data model in Power BI?
3. How do you handle performance optimization in Power BI reports?
Python
1. How do you use Pandas for data manipulation and analysis?
2. What is the difference between NumPy and Pandas, and when should you use each?
3. What are the key differences between Python 2 and Python 3, and why should you use Python 3?
Data Visualization
1. How do you use Tableau for interactive data visualizations?
2. What are the principles of effective data visualization design?
3. How do you create dashboards that provide actionable insights?
Soft Skills
1. How do you communicate complex data findings to non-technical stakeholders?
2. What are the key considerations when working on a data project as part of a team?
3. How do you stay updated with the latest trends and technologies in data analysis?
I have curated best 80+ top-notch Data Analytics Resources
๐๐
https://t.me/datasimplifier
Hope this helps you ๐
Advanced SQL
1. How do you handle recursive queries in SQL Server?
2. What are the differences between clustered and non-clustered indexes?
3. How do you use JSON functions in SQL Server to parse and query JSON data?
Excel Advanced
1. How do you use Power Pivot for data modeling in Excel?
2. Explain how to use the XLOOKUP function and its advantages over VLOOKUP.
3. How do you create and use custom functions with LAMBDA in Excel?
Power BI
1. How do you use DAX functions for advanced calculations in Power BI?
2. What are the best practices for creating a data model in Power BI?
3. How do you handle performance optimization in Power BI reports?
Python
1. How do you use Pandas for data manipulation and analysis?
2. What is the difference between NumPy and Pandas, and when should you use each?
3. What are the key differences between Python 2 and Python 3, and why should you use Python 3?
Data Visualization
1. How do you use Tableau for interactive data visualizations?
2. What are the principles of effective data visualization design?
3. How do you create dashboards that provide actionable insights?
Soft Skills
1. How do you communicate complex data findings to non-technical stakeholders?
2. What are the key considerations when working on a data project as part of a team?
3. How do you stay updated with the latest trends and technologies in data analysis?
I have curated best 80+ top-notch Data Analytics Resources
๐๐
https://t.me/datasimplifier
Hope this helps you ๐
๐12โค4
MICROSOFT is Hiring for DATA AND APPLIED SCIENTIST II
Apply Now:- https://jobs.careers.microsoft.com/us/en/job/1810546/Data-and-Applied-Scientist-II?jobsource=linkedin
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Apply Now:- https://jobs.careers.microsoft.com/us/en/job/1810546/Data-and-Applied-Scientist-II?jobsource=linkedin
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๐4โค1
Deloitte is hiring!
Position: Consultant - Tax Management
Qualification: Bachelorโs/ Masterโs/ MBA
Salary: 11 - 21 LPA (Expected)
Experienc๏ปฟe: Freshers/ Experienced
Location: Bengaluru; Chennai; Gurugram; Hyderabad; Kolkata; Mumbai; Pune, India
๐Apply Now: https://usijobs.deloitte.com/careersUSI/JobDetail/USI-EH-25-Tax-TTC-CLM-Consultant-DocuSign/182402
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Position: Consultant - Tax Management
Qualification: Bachelorโs/ Masterโs/ MBA
Salary: 11 - 21 LPA (Expected)
Experienc๏ปฟe: Freshers/ Experienced
Location: Bengaluru; Chennai; Gurugram; Hyderabad; Kolkata; Mumbai; Pune, India
๐Apply Now: https://usijobs.deloitte.com/careersUSI/JobDetail/USI-EH-25-Tax-TTC-CLM-Consultant-DocuSign/182402
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๐2
๐Deloitte is hiring for Data Science Intern
Experience: 0 - 1 year's
Expected Stipend: 3-5 LPA
Apply here: https://southasiacareers.deloitte.com/job/Bengaluru-Intern-Data-Science-Bengaluru-Digital-Excellence-Centre/36247044/
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Experience: 0 - 1 year's
Expected Stipend: 3-5 LPA
Apply here: https://southasiacareers.deloitte.com/job/Bengaluru-Intern-Data-Science-Bengaluru-Digital-Excellence-Centre/36247044/
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๐2โค1
MSCI is hiring Business Analyst ๐
Experience : 0-3 Years
Location : Mumbai
Apply link : https://careers.msci.com/job/finance-tax-accounting/mumbai/business-analyst/2025-2651?mode=apply&iis=LinkedIn
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Experience : 0-3 Years
Location : Mumbai
Apply link : https://careers.msci.com/job/finance-tax-accounting/mumbai/business-analyst/2025-2651?mode=apply&iis=LinkedIn
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๐๐จ๐ ๐ง๐ข๐ณ๐๐ง๐ญ ๐๐๐ ๐๐๐ฆ๐ฉ๐ฎ๐ฌ ๐๐ซ๐ข๐ฏ๐!
Position: Business Analyst
Qualification: Bachelorโs/ Masterโs/ MBA
Salary: 5 - 9 LPA (Expected)
Experienc๏ปฟe: Freshers/ Experienced
Location: Remote/ Office
๐Apply Now: https://careers.cognizant.com/india-en/jobs/00062946201/business-analyst/
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Position: Business Analyst
Qualification: Bachelorโs/ Masterโs/ MBA
Salary: 5 - 9 LPA (Expected)
Experienc๏ปฟe: Freshers/ Experienced
Location: Remote/ Office
๐Apply Now: https://careers.cognizant.com/india-en/jobs/00062946201/business-analyst/
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๐1
Infosys is hiring!
Position: Power BI Developer
Qualification: Bachelorโs/ Masterโs Degree
Salary: 5 - 11 LPA (Expected)
Experienc๏ปฟe: Freshers/ Experienced
Location: PAN India
๐Apply Now: https://www.linkedin.com/jobs/view/4165058900
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Position: Power BI Developer
Qualification: Bachelorโs/ Masterโs Degree
Salary: 5 - 11 LPA (Expected)
Experienc๏ปฟe: Freshers/ Experienced
Location: PAN India
๐Apply Now: https://www.linkedin.com/jobs/view/4165058900
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๐1๐1
Enrich is hiring Data Analyst Intern ๐
Location: Bangalore
Apply link : https://www.linkedin.com/jobs/view/4163568934
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Location: Bangalore
Apply link : https://www.linkedin.com/jobs/view/4163568934
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๐2๐1
100 Days Data Analysis Roadmap for 2025
Daily hours: 1-2 hours. the practical application of what you learn is crucial, so allocate some time for hands-on projects and real- world applications.
Days 1-10: Foundations of Data Analysis
Days 1-2:Install Python, Jupyter Notebooks, and necessary libraries (NumPy, Pandas).
Days 3-5: Learn the basics of Python programming.
Days 6-10: Dive into data manipulation with Pandas.
Days 11-20: SQL for Data Analysis
Days 11-15: Learn SQL for querying and analyzing databases.
Days 16-20: Practice SQL on real-world datasets.
Days 21-30: Excel for Data Analysis
Days 21-25: Master essential Excel functions for data analysis.
Days 26-30: Explore advanced Excel features for data manipulation and visualization.
Days 31-40: Data Cleaning and Preprocessing
Days 31-35: Explore data cleaning techniques and handle missing data.
Days 36-40: Learn about data preprocessing techniques (scaling, encoding, etc.).
Days 41-50: Exploratory Data Analysis (EDA)
Days 41-45: Understand statistical concepts and techniques for EDA.
Days 46-50: Apply data visualization tools (Matplotlib, Seaborn) for EDA.
Days 51-60: Statistical Analysis
Days 51-55: Deepen your understanding of statistical concepts.
Days 56-60: Learn hypothesis testing and regression analysis.
Days 61-70: Advanced Data Visualization
Days 61-65: Explore advanced data visualization with tools like Plotly and Tableau.
Days 66-70: Create interactive dashboards for data storytelling.
Days 71-80: Time Series Analysis and Forecasting
Days 71-75: Understand time series data and basic analysis.
Days 76-80: Implement time series forecasting models.
Days 81-90: Capstone Project and Specialization
Work on a practical data analysis project incorporating all learned concepts.
Choose a specialization (e.g., domain-specific analysis) and explore advanced techniques.
Days 91-100: Additional Tools
Days 91-95: Introduction to big data concepts (Hadoop, Spark).
โข Days 96-100: Hands-on experience with distributed computing using Spark.
Data Analytics Resources ๐๐
https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02
Hope this helps you ๐
Daily hours: 1-2 hours. the practical application of what you learn is crucial, so allocate some time for hands-on projects and real- world applications.
Days 1-10: Foundations of Data Analysis
Days 1-2:Install Python, Jupyter Notebooks, and necessary libraries (NumPy, Pandas).
Days 3-5: Learn the basics of Python programming.
Days 6-10: Dive into data manipulation with Pandas.
Days 11-20: SQL for Data Analysis
Days 11-15: Learn SQL for querying and analyzing databases.
Days 16-20: Practice SQL on real-world datasets.
Days 21-30: Excel for Data Analysis
Days 21-25: Master essential Excel functions for data analysis.
Days 26-30: Explore advanced Excel features for data manipulation and visualization.
Days 31-40: Data Cleaning and Preprocessing
Days 31-35: Explore data cleaning techniques and handle missing data.
Days 36-40: Learn about data preprocessing techniques (scaling, encoding, etc.).
Days 41-50: Exploratory Data Analysis (EDA)
Days 41-45: Understand statistical concepts and techniques for EDA.
Days 46-50: Apply data visualization tools (Matplotlib, Seaborn) for EDA.
Days 51-60: Statistical Analysis
Days 51-55: Deepen your understanding of statistical concepts.
Days 56-60: Learn hypothesis testing and regression analysis.
Days 61-70: Advanced Data Visualization
Days 61-65: Explore advanced data visualization with tools like Plotly and Tableau.
Days 66-70: Create interactive dashboards for data storytelling.
Days 71-80: Time Series Analysis and Forecasting
Days 71-75: Understand time series data and basic analysis.
Days 76-80: Implement time series forecasting models.
Days 81-90: Capstone Project and Specialization
Work on a practical data analysis project incorporating all learned concepts.
Choose a specialization (e.g., domain-specific analysis) and explore advanced techniques.
Days 91-100: Additional Tools
Days 91-95: Introduction to big data concepts (Hadoop, Spark).
โข Days 96-100: Hands-on experience with distributed computing using Spark.
Data Analytics Resources ๐๐
https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02
Hope this helps you ๐
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Position: Intern/ Trainee
Qualifications: Bachelorโs/ Masterโs Degree
Salary: โน48,309 Per Month (Expected)
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Position: Intern/ Trainee
Qualifications: Bachelorโs/ Masterโs Degree
Salary: โน48,309 Per Month (Expected)
Batch: 2024/ 2025/ 2026
Experience: Freshers
Location: Bengaluru, India
๐Apply Link: https://pwc.wd3.myworkdayjobs.com/en-US/Global_Experienced_Careers/job/Intern-Trainee_607434WD
๐WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
๐Telegram Link: https://t.me/addlist/4q2PYC0pH_VjZDk5
Like for more โค๏ธ
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