Create your free profile

About

Analytics-focused engineer with 2.5 years in embedded testing, turning raw sensor data into root-cause analyses and stakeholder reports for engineering and quality teams. Built three end-to-end projects in SQL, Power BI, Excel, and Python on 1M+ transactions, 19K+ candidate profiles, and 51K+ restaurant listings, including finding that 31% of customers drove 64% of 3.2M revenue. Known for clean data, clear dashboards, and insights that drive retention, hiring, and growth.

Experience2

  1. Software Engineer 6 Embedded Testing

    Sep 2023 — Mar 2026

    People Tech Group

    Validated embedded software with 300+ test cases across 5+ modules achieving 90%+ requirements coverage and identifying 40+ critical defects pre-release. Analyzed sensor data from 10+ test cycles with root-cause failure analysis and delivered 20+ reports to engineering and quality teams. Automated data cleaning and reporting workflows in SQL and Excel, reducing report time by 30%. Collaborated with 8+ engineers to turn test results into actionable insights supporting 3+ major releases.

  2. Data Analytics Upskilling

    Mar 2026 — Present

    Self-directed

    Completed 3 end-to-end analytics projects and obtained 3 certifications in SQL, Python, and data analysis.

Projects3

  • Customer Revenue Intelligence

    Cleaned and validated 1.06M+ e-commerce transactions from 43 countries and 5,878 customers; wrote 12 SQL queries using CTEs and window functions for RFM segmentation, revenue trends, and cancellation analysis. Discovered 31% of customers generated 64% of 3.2M revenue and flagged countries with high cancellation rates. Delivered a 6-tab Excel dashboard with KPIs and a what-if simulator.

    • SQL (SQLite)
    • Excel (Power Query)

  • Talent Attrition Intelligence

    Built a one-page Power BI dashboard with 5 KPIs and 6 visuals on 19,158 candidate records; tested 6 hypotheses on job-change drivers and simplified DAX model from 22 to 7 measures. Designed a Flight Risk Score (0100) using top predictors with job-change rates from 54.4% to 13.9%. Corrected Excel auto-date defect in source data.

    • Power BI
    • DAX
    • Power Query

  • Restaurant Rating Drivers

    Cleaned 51,660 restaurant listings across 93 localities; conducted 12+ analyses to identify key drivers of ratings. Found table booking correlated with higher ratings (4.14 vs 3.62 average) and recommended improvements for restaurant owners and platforms.

    • Python (Pandas, Matplotlib, Seaborn)

Education1

  • B.Tech

    2017 — 2021

    KL University, Andhra Pradesh

    Electronics & Communication Engineering