P

Priya Girish kumbhar

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Maharashtra, India

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Résumé

Jobs verified_user 0% verified
  • Unified Mentor Private Limited
    Data Analyst Intern
    Unified Mentor Private Limited
    Feb 2025 - Mar 2025 (2 months)
    • Integrated large Datasets from multiple sources, ensuring data accuracy and consistency for analysis using Python, SQL and Excel. • Optimized data visualization techniques, improving performance efficiency by 15%.
  • W
    Data Analyst Intern
    Webex Solution
    Jul 2024 - Dec 2024 (6 months)
    • Analyze datasets exceeding 50,000 rows leading to actionable insights that enhanced operational efficiency by 20% • Automated 5+ data processing tasks, reducing report generation tome by 40%
Education verified_user 0% verified
  • A
    Data Analytics and Visualization
    Accenture North America
    Dec 2024
  • U
    Data Analysis with Sql, python,Excel, power BI
    UV Tech Pune
    Aug 2023 - Jan 2024 (6 months)
  • G
    Bachelor of Computer Science
    G. H. Raisoni College of Engineering and Management
    Jan 2019 - Jan 2022 (3 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • T
    TCS-Stock-Price-Prediction W
    Jan 2024 - Jan 2025 (1 year 1 month)
    • Analyzed historical stock price data for Tata (TCS) to predict future trends. • Developed a model to accurately forecast stock prices based on market patterns and financial indicators. • Used Python, pandas, and machine learning algorithms to clean data, perform exploratory analysis, and build predictive models. • Achieved a high prediction accuracy, enabling data-driven insights into stock price movements.
  • S
    Supply Chain ManagementW
    Jan 2024 - Jan 2025 (1 year 1 month)
    • Increased Revenue: Our supply chain optimization led to a 15% increase in total revenue. • Cost Savings: Implementing cost-effective strategies has resulted in a 10% reduction in overall costs. • Reduced Lead Times: Streamlined routes and efficient management have reduced lead times by 20%
  • A
    Amazon Sales Analysis W
    Jan 2023 - Jan 2024 (1 year 1 month)
    • Utilized historical sales data (over 3 years) to create a predictive dashboard in Power BI. • Implemented data-driven strategies that uncovered 10% revenue growth potential by identifying top-performing products and underperforming categories. • Utilized Python (Pandas, NumPy, Matplotlib, and Seaborn) to clean, process, and visualize sales data, reducing data inconsistencies by 30%. • Improved operational efficiency by developing predictive models that forecasted sales with 95% accuracy, supporting data-driven decision-making.