J

Jayesh Patil

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Maharashtra, India

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Résumé


Jobs verified_user 0% verified
  • Internship Studio
    Data Analyst Intern
    Internship Studio
    Mar 2024 - May 2024 (3 months)
    • Improved reporting efficiency by 20% by extracting, transforming, and visualizing data using Python, SQL, and Power BI. • Conducted in-depth EDA on structured and unstructured datasets to identify business trends. • Built interactive dashboards in Power BI to enhance real-time decision-making. • Developed predictive models using Scikit-learn, improving forecasting accuracy by 25%. • Streamlined data pipelines, reducing preprocessing time by 30%. • Automated weekly reports, saving 10+ hours and delivering actionable insights. Tools Used: Python, SQL, Power BI, Scikit-learn, Matplotlib, Seaborn
Education verified_user 0% verified
  • Newton school
    Power Bi
    Newton school
    Apr 2025 - May 2025 (2 months)
  • TCS iON
    Practical Approach to Data Mining & Analytics
    TCS iON
    Aug 2023 - Jun 2024 (11 months)
  • L
    Machine Learning
    L&T EDUTECH
    Jun 2023 - May 2024 (1 year)
  • B
    MSc in
    BK Birla College
    Jun 2023 - Jun 2025 (2 years 1 month)
  • S
    Microsoft Certified: Azure Fundamentals
    Smiplilearn
    Aug 2022
  • B
    BSc
    BK Birla College
    Jun 2020 - Apr 2023 (2 years 11 months)
Projects (professional or personal) verified_user 0% verified
  • I
    IBM HR Attrition Analysis
    Dec 2024 - Jan 2025 (2 months)
    • Analyzed IBM HR data and uncovered top 3 drivers of attrition, supporting retention strategy that targeted 80% at-risk employees. • Achieved 80% model accuracy using hyperparameter tuning and feature engineering. Tools: Python, Pandas, Scikit-learn, Matplotlib, Seaborn
  • O
    Online Sales Dashboard
    Aug 2024
    • Built Power BI dashboard that improved category-wise revenue visibility, helping identify ₹12K in missed sales opportunities..Developed KPIs: Total revenue (₹38K), Quantity sold (393), Average order value (₹12K). • Implemented category-based filtering with DAX functions. Tools: Power BI, SQL, DAX