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About

Data Scientist and ML Engineer with hands-on experience building machine learning projects from data preparation and feature engineering through to model evaluation and deployment. Experienced with Python, Scikit-learn, XGBoost, FastAPI, and Streamlit. Developed credit decision engine, cryptocurrency forecasting dashboard, and ML interpretation platform. Previous software engineering experience with KPIT Technologies using Modern C++ and Agile development.

Experience2

  1. Prompt Engineer (Freelance)

    09/2024 — 11/2024

    SOUL AI

    Worked on large language model based pipelines for e-commerce anomaly detection by developing and iterating on prompts. Analyzed model output to identify failure patterns and improve results. Communicated technical findings clearly to non-technical stakeholders.

  2. Genesis Trainee – Software Engineering

    12/2023 — 04/2024

    KPIT Technologies

    Contributed to software development in Modern C++ (17/20) within an Agile environment. Refactored existing codebase using object-oriented programming to improve maintainability. Participated in code reviews and completed projects on data structures, design patterns, and modular software design.

Projects4

  • Intelligent Credit Decision Engine

    Developed an end-to-end lending decision system including data preprocessing, feature engineering, model training and evaluation. Used XGBoost model served via FastAPI backend with a Streamlit dashboard for loan officers. Modular code structure with SHAP integration for model explainability and prediction interpretation.

    • Python
    • XGBoost
    • FastAPI
    • SHAP
    • Streamlit
    • Git

  • Cryptocurrency Analysis Dashboard

    Built an interactive Streamlit dashboard analyzing cryptocurrency prices, returns, market volatility and including technical indicators like RSI, MACD. Implemented ARIMA, LSTM, and linear regression for price forecasting comparison. Modularized data collection and analysis components.

    • Python
    • Streamlit
    • yfinance
    • ARIMA
    • LSTM

  • ML Interpreter: Codeless Data Analysis Platform

    Created a platform enabling users to upload datasets and receive automated exploratory data analysis and model explanations without coding. Integrated SHAP and LIME to explain various machine learning model predictions, with a user-friendly interface for non-technical users.

    • Python
    • Flask
    • Streamlit
    • SHAP
    • LIME

  • Personalised Music Recommendation System

    Built a content-based recommendation system utilizing Spotify API audio features and cosine similarity to generate personalized music recommendations.

    • Python
    • Scikit-learn
    • Spotify API

Education1

  • B.Tech

    2020 — 2024

    Lovely Professional University

    Computer Science