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About

Data Analyst with 2+ years of experience in data analysis, SQL querying, data preprocessing, and visualization. Skilled in Python, SQL(MySQL), Pandas, NumPy, Power BI(including DAX), and Excel, with hands-on experience in EDA, data cleaning, statistical analysis, and reporting. Recently completed an Advanced Data Science certification(IIT Madras & GUVI), building applied Machine Learning, NLP, and PySpark skills through hands-on capstone projects. Experienced in transforming raw data into meaningful insights and creating data-driven visualizations to support business decisions.

Experience1

  1. Data Analyst

    08/2024 — Present

    Veshcorp Technologies

    Extracted, cleaned, and transformed business datasets using Python, Pandas, NumPy, and SQL to identify trends and generate actionable insights. Conducted data preprocessing, exploratory data analysis, and validation to improve data quality. Developed complex SQL queries for data extraction and reporting from relational databases. Designed interactive Power BI dashboards and built visualization reports with Matplotlib and Seaborn. Collaborated with stakeholders to define requirements and support data-driven decisions. Documented workflows in Jupyter Notebooks for reproducibility.

Projects3

  • INFI - Financial & Fleet Transport Analysis

    Performed end-to-end financial and operational analysis for a fleet transportation business including revenue, shipments, customers, routes, cargo types, vehicles, fuel expenses, maintenance costs and payments. Analyzed ₹37.3 crore in freight revenue across 3,361 delivered shipments out of 5,000 total, with an average revenue of ₹1.11 lakh per shipment. Conducted Month-over-Month revenue analysis for Jun–Dec 2024, identifying a 5.6% revenue decline in July. Analyzed customer, route, and cargo revenue, identifying top customers and highest-revenue routes. Evaluated 50 vehicles using revenue-per-kilometer and trip volume metrics and integrated 23,700+ records for unified reporting.

    • Python
    • Pandas
    • NumPy
    • Matplotlib
    • Seaborn
    • EDA
    • Power BI
    • DAX
    • Dashboard
    • Reporting

  • Centralized Source System - Sales Analysis

    Analyzed Superstore sales data including sales, profit, products, categories, customers, customer segments, shipping modes, markets, and time-based performance. Cleaned and validated 51,290 sales records with Python and Pandas. Identified top-selling and profitable products, analyzed global sales across 147 countries and 7 markets, identifying the US as top market with $2.3M in sales. Ranked top profitable customers and studied shipping costs and sales trends for business insights.

    • Python
    • Pandas
    • NumPy
    • Matplotlib
    • Seaborn
    • Excel
    • EDA
    • Data Cleaning
    • Sales Analysis
    • Profit Analysis
    • Power BI
    • DAX
    • Data Visualization
    • Reporting

  • HOME - Hospital and Medical Management System

    Analyzed and managed healthcare data across multiple operational hospital modules such as pharmacy, pathology, radiology, ambulance, blood bank, and live consultation. Collected, organized, and validated diverse healthcare data sets using Python, Pandas, and Excel. Performed data cleaning and transformations to support accurate reporting and operational analytics. Created structured reports and visualizations via Matplotlib and Seaborn to communicate key healthcare insights.

    • Python
    • Pandas
    • NumPy
    • EDA
    • Matplotlib
    • Seaborn
    • Data Validation
    • Power BI
    • Dashboard
    • Reporting

Education1

  • Bachelor of Technology (B.Tech)

    2016 — 2020

    Government College of Technology

    Information Technology