About

Results-driven Data Scientist and ML Engineer with hands-on internship experience in end-to-end ML pipelines, predictive modeling, EDA, and BI dashboard development. Proficient in Python, Scikit-learn, SQL, and Power BI across supervised and unsupervised learning workflows. Built and deployed 3 live Streamlit applications processing real-world datasets. Certified by AWS and MathWorks; recognised by Deloitte.

Experience2

  1. Data Scientist Intern

    Jan 2026 – Present

    WEBiSOFTECH

    Designed and executed end-to-end data preprocessing pipelines using Python and SQL. Built and tuned supervised ML models. Conducted in-depth Exploratory Data Analysis (EDA) and developed interactive Power BI dashboards.

  2. Embedded Systems & AI Intern

    Jan 2024 (1 Month)

    DigiToad Technologies

    Developed embedded systems using the STMicroelectronics AI ecosystem and applied ML algorithms in Python.

Projects6

  • AI Retail Recommendation System

    Built an end-to-end recommendation engine using Market Basket Analysis with intelligent filtering for retail decisions.

    • Python
    • Pandas
    • MLxtend
    • Scikit-learn
    • Streamlit
  • IPL Smart Analytics Dashboard

    Engineered analytics pipeline on IPL match data with multi-view dashboards and a public demo video.

    • Python
    • Pandas
    • NumPy
    • Matplotlib
    • Streamlit
  • Automated ML Regression Pipeline

    Developed an automated pipeline covering data cleaning, handling missing values, and training regression models.

    • Python
    • Scikit-learn
    • Pandas
    • NumPy
  • AI Retail Recommendation System

    Built an end-to-end recommendation engine using Market Basket Analysis with intelligent filtering for retail decisions.

    • Python
    • Pandas
    • MLxtend
    • Scikit-learn
    • Streamlit
  • IPL Smart Analytics Dashboard

    Engineered analytics pipeline on IPL match data with multi-view dashboards and a public demo video.

    • Python
    • Pandas
    • NumPy
    • Matplotlib
    • Streamlit
  • Automated ML Regression Pipeline

    Developed an automated pipeline covering data cleaning, handling missing values, and training regression models.

    • Python
    • Scikit-learn
    • Pandas
    • NumPy

Education2

  • BTech

    2021 — 2026

    DKTE’s Textile and Engineering Institute

    Electronics and telecommunication

  • B.Tech

    2026

    DKTE’s Textile and Engineering Institute (Autonomous)

    General