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Education
Bachelor of Science (BS) in Data Science & Programming, Indian Institute of Technology, Madras
2021 – present | Chennai, India

Relevant Courses: Mathematics & Statistics for Data Science, Python Programming, Data Structures & Algorithms(DSA) , Bash Scripts, Database Management System(DBMS) , Machine Learning, Business Analytics, Business Data Management (BDM), JAVA Programming, Modern Application Development

Technical Skills
Programming Languages : — Python, JAVA, Bash Scripts, Javascript, Machine learning (scikit learn), HTML, CSS, Vuejs
IDEs and Programming Tools : — Visual Studio Code, Google Colaboratory, Jupyter Notebook, PyCharm
Other Tools, Libraries & Frameworks : — SQLite, numpy, pandas, scipy, sklearn, vuejs, postman, celery, Redis, kumu
Capstone Projects
Grocery Store Management Application V2
Sep 2023 – Dec 2023
  • •Developed a multi-user grocery store application with restful API and Vue,js for the UI, implementing Role-Based Access Control (RBAC) and Flask-Security for authentication.
  • •Scheduled backend jobs like visit alerts and monthly reports using MailHog, and supported user-triggered asynchronous jobs to export product details as CSV files. Utilized redis for caching and celery for batch jobs. Technologies included Python, RestfulAPI, Vue.js, SQLite, Redis, Celery, WSL (Ubuntu), Jinja2, HTML, CSS and MailHog.
    • Grocery Store Management Application V1
    May 2023 – Aug 2023
  • •Developed a multi-user application for purchasing grocery items, enabling users to buy products from various categories.
  • •Implemented admin functionalities to manage categories and products, including adding, deleting, and editing. Utilized python, HTML, CSS, Bootstrap, SQLite, Flask, Jinja2 and JavaScript to create a responsive and Interactive platform.
    • Optimizing Sales of a B2B Garment Shop
    May 2023 – Aug 2023
  • •Conducted a comprehensive analysis of a textile business's sales data for FY 2021-22, focusing on quarterly analysis to optimize sales and achieve targeted profit.
  • •Utilized excel tools such as pivot tables, bar graphs, and line graphs for graphical representations, enabling the identification of trends, patterns and key insights. Provided recommendations to enhance the sales and marketing strategy, aiming to increase revenue and market share.
    • Sentiment Prediction on Movie Reviews
    May 2023 – Aug 2023
  • •Developed a predictive model for sentiment analysis on a movie dataset leveraging scikit-learn, XGBoost, NumPy, Pandas, SciPy, Seaborn and Matplotlib.
  • •Orchestrated data loading, preprocessing, exploratory data analysis and feature engineering, optimized model performance with pipelines. Achieved a top 8% rank (79 out of 977 teams) with an F1 micro score accuracy of 83.196.
    • Certificates
    Emotional Intelligence — NPTEL | Indian Institute of Technology , Kharagpur (01/2024 - 03/2024)
    Data Mining — NPTEL | Indian Institute of Technology , Kharagpur (01/2024 - 03/2024)
    Cloud Computing — NPTEL | Indian Institute of Technology , Kharagpur (07/2023 - 10/2024)
    Supervised Machine Learning — Stanford Online | Deeplearning AI (09/2022)
    Volunteership
    Academic Societies, volunteer
    Jul 2022 – present

    Active participant in the, Sundarbans House #271 & Ramanunjan Society for Research at IIT-M,

    actively participating in group activities and fostering a sense of community.