About

Data Analyst proficient in Python, SQL, Power BI, Pandas, NumPy, and data visualization. Skilled in data cleaning, exploratory data analysis (EDA), KPI reporting, and dashboard development. Seeking to contribute analytical expertise to support business intelligence and data-driven growth.

Experience2

  1. Assistant Professor

    Aug 2024 — Jun 2026

    Buddha Institute of Management

    Worked as an Assistant Professor, responsible for teaching, practical sessions, student assessment, and academic activities. Trained and mentored students for campus placement preparation. Worked on a research paper titled 'The Future Scope of Artificial Intelligence: Opportunities, Challenges, and Impacts on Society,' exploring emerging opportunities, challenges, and societal impacts of AI.

  2. Backend Developer

    Feb 2023 — Sep 2023

    Hyperzep Infotech Pvt. Ltd.

    Developed and maintained backend applications using Node.js and Express.js. Worked with MongoDB and MySQL for database design, queries, and data management. Developed and integrated REST APIs and third-party services for application functionality.

Projects3

  • Ecommerce-Sales-Analysis

    Analyzed e-commerce sales data using SQL and Excel to identify sales, profit, product, category, regional, and payment-method trends. Built an interactive Excel dashboard with KPI cards, Pivot Tables, and charts to present key business insights.

    • Microsoft Excel
    • SQL
  • Manufacturing Operations Performance Analytics

    Developed an interactive Power BI dashboard to analyze 20,000 production records, tracking output achievement, downtime, defect rates, and machine performance. Delivered data-driven insights that identified production shortfalls, maintenance inefficiencies, and night-shift performance gaps to support operational improvements.

    • Power BI
    • DAX
    • Microsoft Excel
    • Microsoft PowerPoint
  • Logistics Delivery Delay Analysis

    Performed data cleaning, feature engineering, EDA, and visualization on 6,000 logistics records using Python, Pandas, NumPy, and Matplotlib. Performed feature engineering and exploratory data analysis to identify factors affecting delivery performance and operational costs.

    • Python
    • Pandas
    • NumPy
    • Matplotlib
    • Google Colab

Education3

  • Data Analytics Program

    2026

    Sharpener Tech

  • MCA

    2020 — 2022

    Madan Mohan Malaviya University of Technology

  • Bachelor of Arts

    2017 — 2020

    Pt. Thakur Prasad Tripathi Kisan Mahavidyalay