About Me

I’m an engineering student with a strong interest in applied mathematics, data science and AI. I enjoy turning complex problems into practical, data-driven solutions, whether through analysis, modeling, or machine learning. This space is my personal log where I experiment, learn, and build; exploring how data turns into insight and ideas become real-world impact. Each project reflects curiosity, problem-solving, and a constant drive to grow.

  • Programming Languages:
    Python, C, C++, JAVA, SQL, MATLAB, HTML, CSS, JavaScript
  • Data Science:
    Pandas, Tensorflow, NumPy, Matplotlib, Seaborn, PowerBI
  • Competitive Programming:
    see my Codeforces and LeetCode profiles
  • Other Tools:
    Git, Github
  • Internship - National Agricultural Bank (BNA)
    - Built automated data preprocessing pipelines using Python for analytics and accounting tasks
    - Cleaned, transformed, and merged large financial datasets, significantly reducing processing time
    - Prepared high-quality data for modeling and dashboard refreshes through integrated Power BI workflows
  • Current Education
    2nd-year Applied Mathematics and Modeling engineering student at ENSIT, specializing in Data Science and AI.
  • Pre-engineering Degree
    2 years - Maths & Physics at IPEIT
  • NerData ENSIT Club - 2 years
    - Project Manager of the club
    - Conducted ML workshops and mini hackathons
    - Mentored participants in AI and data science projects
  • Community Engagement
    - Active participation in competitive programming contests and AI hackathons
    - Organized club events to foster learning
    - Contributed as part of the organizing committee for club events
See more →

My Projects

HealthCast

Following the participation in SENECA HACK 2025, Healthcast is an AI-powered app that transforms a simple natural language prompt about your health, lifestyle, and goals into a personalized fitness & nutrition plan. It produces an engaging podcast-style audio file along with a short markdown summary that acts as a quick guide.

WTI Crude Oil Price Prediction

An academic AI-driven project that leverages historical market data to forecast WTI crude oil prices. The interactive Streamlit web app allows users to explore trends, visualize predictions, and gain clear insights into future price movements.

See More