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About

Data Science and Machine Learning aspirant (MCA, University of Allahabad), currently working as a Data Science Intern at CETPA Infotech. Hands-on with the end-to-end ML workflow: data cleaning, EDA, feature engineering, regression and classification modelling (Linear Regression, Decision Tree, Random Forest, XGBoost) and cross-validation, using Python, NumPy, Pandas and Scikit-learn.

Experience1

  1. Data Science Intern

    Jun 2026 — Present

    CETPA Infotech Pvt. Ltd. · Remote

    Involved in Data Science with Python training covering Python, NumPy, Pandas, Matplotlib, Seaborn, SQL, Statistics, EDA and Machine Learning. Working on practical datasets and projects involving data cleaning, visualization, analysis, preprocessing and predictive modelling.

Projects4

  • Medical Insurance Cost Predictor

    Built a Linear Regression model to predict individual medical insurance charges from factors such as age, BMI, smoking status and region. Cleaned and encoded the data, explored feature relationships with visualizations, and deployed an interactive Streamlit app for real-time prediction.

    Open on github.com
    • Python
    • Linear Regression
    • Pandas
    • Seaborn
    • Streamlit

  • Customer Churn Analysis (In Progress)

    Building classification models (Decision Tree, Random Forest, XGBoost) to predict which customers are likely to churn. Comparing models with cross-validation for reliable evaluation and analysing churn drivers through data visualization.

    • Python
    • Decision Tree
    • Random Forest
    • XGBoost

  • Olympics Data Analysis Dashboard

    Analysed Olympic data across countries, years, sports and athletes; explored medal tallies and long-term trends. Built interactive visualizations and deployed the dashboard on Streamlit Community Cloud.

    Open on github.com
    • Python
    • Pandas
    • NumPy
    • Plotly
    • Streamlit

  • DOCnDOSE — AI-Powered Healthcare Platform

    Integrated the Groq AI API to power an intelligent healthcare assistant inside a live patient-facing application. Designed a relational MySQL database with optimised queries for scheduling, availability and patient history retrieval.

    Open on github.com
    • Groq AI API
    • MySQL
    • Django REST

Education2

  • Master of Computer Applications (MCA)

    2024 — 2026

    University of Allahabad

  • Bachelor of Computer Applications (BCA)

    2021 — 2024

    University of Allahabad

Certifications2

  • Python Programming: Fundamentals and Data Visualization

    I-Tech Institute of Computers, Bangalore

  • Workshop on Artificial Intelligence in Cybersecurity

    Dept. of Electronics & Communication, University of Allahabad