Rahul Ratan Yadav
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Rahul Ratan Yadav

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Rajasthan, India

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Jobs verified_user 0% verified
  • S
    Data Analyst
    SalesIntel.io
    Mar 2022 - May 2025 (3 years 3 months)
    Assessing partner's contact/company data or accuracy to help in closing the deal. Created dashboards to showcase the various counts of B2B and B2C data availability. Developed and managed data delivery processes to assure the best quality data for client's requirements. Responsible for creating compilation of contact's research assignment for research team to increase the human verified data coverage. Handled ad-hoc data requests and tickets, provided insights and solutions to support business operations. Processed enrichment tickets by validating, enhancing, and standardizing data to improve accuracy and completeness. Worked on various ETL and data manipulation tasks to achieve the desired goals. Identified and suggested areas of improveme
Education verified_user 0% verified
  • Google
    GOOGLE DATA ANALYTICS PROFESSIONAL CERTIFICATE (COURSERA)
    Google
    Dec 2021 - Jan 2022 (2 months)
  • M
    M. Tech in
    Malviya National Institute of Technology (MNIT)
    Jun 2018 - Jun 2020 (2 years 1 month)
  • R
    B. Tech in Mechanical Engineering
    Rajasthan Technical University (RTU)
    Jun 2013 - Jun 2017 (4 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • L
    Loan Default Prediction
    Apr 2025 - Current (5 months)
    Developing a machine learning model to predict loan default risk. Includes data preprocessing, classification modeling,
  • S
    Sales Performance Dashboard
    Apr 2025 - Current (5 months)
    Summary: Designed an interactive dashboard to analyze regional and product-level sales data. Includes monthly revenue trends, top-selling products, and sales rep performance. Implemented data aggregation techniques and time series forecasting for business insights.
  • A
    Auction Price Prediction Model
    Apr 2025 - Current (5 months)
    Building a regression model to predict auction prices based on product features such as brand, condition, and seller reputation. Applied feature engineering and model evaluation using RMSE and R² metrics.
  • C
    Customer Churn Analysis
    Apr 2025 - Current (5 months)
    Summary: Performing customer behavior analysis on a telecom dataset to identify churn patterns. Utilized EDA, correlation analysis, and SQL for segmentation and retention strategy development.