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About

Final-year Electronics and Communication Engineering student with hands-on experience in data quality, validation, and analysis using Python, SQL, and Power BI. Delivered a structured data analysis project through the VOIS/AICTE program - validating 102,599 records and resolving 541 duplicate entries, then applying exploratory analysis to detect trends and anomalies. Built a Power BI dashboard analyzing digital payment transaction data (2017-2022), translating validated data into clear analytical solutions and business insights. Detail-oriented, quick to learn new tools, and comfortable across data cleaning, statistical analysis, reporting, data modeling, and workflow automation. Seeking an entry-level Data Analyst role.

Experience2

  1. Data Analysis Project

    Sep 2025 — Oct 2025

    VOIS / AICTE

    Audited and validated a 102,599-record dataset using Python and Jupyter Notebook, detecting and resolving 541 duplicates and other inconsistencies. Conducted exploratory data analysis applying statistical techniques in Pandas to uncover trends, patterns, and anomalies. Designed visualizations translating validated data into actionable reporting insights. Documented the full data-cleaning and analysis workflow for reproducibility.

  2. Power BI Internship

    Microsoft Elevate / AICTE

    Analyzed digital payment transaction data (2017-2022) using Python and Power BI to identify usage trends and patterns. Built interactive dashboards and visual reports to communicate transaction insights to stakeholders.

Projects3

  • Netflix Data Analysis

    Audited and cleaned dataset records resolving missing, duplicate, and inconsistent entries to enable accurate exploratory analysis. Analyzed content data across movies, TV shows, genres, countries, and release years to surface distribution trends. Conducted EDA and built visualizations with Matplotlib and Seaborn to present content distribution patterns clearly.

    • Python
    • Pandas
    • Matplotlib
    • Seaborn
    • Jupyter Notebook

  • Digital Payments Analysis Dashboard

    Analyzed digital payment transaction data (2017-2022) to monitor trends, patterns, and KPIs. Designed an interactive Power BI dashboard with filtering, aggregation, and KPI visuals for business reporting. Delivered validated, data-driven insights to support stakeholder decision-making.

    • Power BI
    • Data Validation
    • Data Visualization

  • Olist E-Commerce Sales & Customer Analytics

    Integrated and cleaned 9 relational e-commerce datasets with 100K+ records using Python/Pandas, resolving missing values, duplicates, and timestamp issues. Conducted EDA, outlier analysis, and statistical testing (t-tests, ANOVA, regression, correlation) to identify revenue and customer satisfaction drivers. Queried dataset in SQL (DuckDB) and built interactive Power BI dashboards with DAX for revenue, orders, AOV, and delivery/review KPIs.

    • Python
    • SQL
    • DuckDB
    • Pandas
    • Power BI
    • DAX
    • Statistical Analysis

Education1

  • B.Tech

    2027

    Chalapathi Institute of Technology, Mothadaka

    Electronics and Communication Engineering