Christ University Road, 30 Valor Court At Post: Dasve Lavasa,Taluka: Mulshi Pune 412112, Maharashtra.

Focus : To get a job as of my interest and leveraging innovative techniques to unravel data complexities, and drive impactful advancements and High value internship opportunities.

Specifications : Bachelor of Statistics (Honours), Masters in Data Science

Skills

MySQL, R (Programming Language), Python (Programming Language), Microsoft Power BI, Django, Analytical Skills, Microsoft Word, Microsoft PowerPoint, Microsoft Excel, Front-End Development, Microsoft Azure, Amazon Web Services (AWS), Cloud Computing, Computer Vision, JAVA,

Languages

Bengali, English, Hindi,

Hobbies

Singing, Hearing podcasts, Strategic Thinking , Watching and Analyzing statistical videos


Certificate

Google Cloud Career Readiness Cloud Digital Leader Track - Google
2024-02 / 2024-03

Hackerrank SQL - HackerRank
2024-02 / 2024-02


Summary

I'm Debolina Chatterjee, a passionate and detail-oriented data enthusiast, blending robust statistical expertise with cutting-edge AI and computer vision techniques, committed to driving impactful innovations in sports analytics and healthcare.


Education History

Statistics - 74 %
2020-07 / 2023-07
University Of Calcutta

Internships

Data Science Intern - Prodigy Infotech
2024-03 / 2024-04

Data Science Intern - Bharat Intern
2024-03 / 2024-04

Data Science Intern - Codsoft
2024-04 / 2024-05


Projects

Football Game Performance Tracking
2024-08 / Present

• Developing a football performance tracking app with Django, HTML, CSS, JavaScript, and Power BI for real-time analytics.

• Collaborating on a responsive frontend that integrates with backend APIs for efficient data processing.

• Building a scalable architecture with user authentication and personalized analytics, deploying it to the cloud with comprehensive testing.

Research(Predictive Modeling of Career Longevity in Athletes through the Lens of Physiological Stress Markers)
2024-09 / Present

  • Build a machine learning model to predict athlete career longevity based on physiological stress markers.
  • Analyze how stress impacts athletic performance and identify stress thresholds that affect career length.
  • Provide data-driven strategies for stress management to optimize performance and extend athlete careers.

Stellar Classification
2024-03 / 2024-05

• Worked with a team to clean and analyze a 100,000-observation dataset, ensuring data integrity.

• Used statistical techniques (T-tests, ANOVA, regression) to analyze spectral characteristics of stars, galaxies, and quasars.

• Employed advanced ML methods, like ensemble techniques and neural networks, to improve classification accuracy.

E-Commerce Website
2024-02 / 2024-06

  • This project is an E-commerce website built using the Django framework. It offers a platform where users can browse products, add them to their shopping cart, and make purchases securely.