Raja Nithin Batchu
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Raja Nithin Batchu

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Texas, United States

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Jobs verified_user 0% verified
  • Wabtec Corporation
    Data Analyst
    Wabtec Corporation
    Jun 2023 - Jun 2024 (1 year 1 month)
    Queried and managed relational databases containing 500,000+ records using SQL to support operational and departmental analysis. Cleaned, validated, and transformed datasets using Python (pandas) and Excel, improving data processing efficiency by 40%. Performed exploratory data analysis (EDA) on historical system logs to identify recurring error patterns, contributing to a 25% reduction in system issues. Built and maintained Power BI dashboards to track operational KPIs, enabling leadership to monitor performance in real time and improving measurable efficiency by 30%. Collaborated with cross-functional teams to translate analytical findings into actionable business insights and recommendations.
  • Y
    Business Analyst Intern
    YoShops
    Feb 2023 - May 2023 (4 months)
    Analyzed three years of transaction and sales data to identify revenue drivers, trends, and seasonal patterns. Developed Excel-based analytical models using PivotTables and lookup functions to support sales forecasting and performance tracking. Designed interactive Power BI dashboards focused on financial KPIs, reducing reporting turnaround time and accelerating decision-making by 20%. Reviewed existing reporting workflows to identify data inconsistencies and improve overall data accuracy. Presented analytical findings through clear visualizations and summaries for non-technical stakeholders.
Education verified_user 0% verified
  • University of North Texas
    Master, Information Systems & Technology
    University of North Texas
    Aug 2024 - Current (1 year 7 months)
    GPA: 3.77
Projects (professional or personal) verified_user 0% verified
  • J
    Job Market Analytics (Web Scraping & Visualization)
    Sep 2025 - Nov 2025 (3 months)
    Scraped and analyzed 5K+ U.S. job postings to identify top data-science skills and salary trends.Cleaned and visualized results with Power BI to highlight high-demand tools and roles for freshers.
  • C
    Customer Churn Prediction
    Feb 2025 - Apr 2025 (3 months)
    Built churn prediction models (Logistic Regression, Random Forest) achieving 86% accuracy on telecom data.Automated preprocessing (cleaning, encoding) and visualized key churn drivers via Power BI.Recommended retention actions projected to cut churn by 10%.
  • S
    Sales Forecasting and Trend Analysis
    Nov 2024 - Jan 2025 (3 months)
    Developed ARIMA-based forecasting pipeline using SQL sales data, improving prediction accuracy by 18%.Analyzed seasonal and regional trends, optimizing inventory and reducing overstock by 12%.Delivered findings through an interactive Power BI dashboard.