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Yash Bhimani

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Business Data Analyst
United States

Contact Yash regarding: 

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Full-time jobs
Starting at USD35/hour
Flexible work
Starting at USD35/hour
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Starting at USD4.5K/month
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Timeline


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Résumé


Jobs verified_user 0% verified
  • Christus Health
    Data Analyst
    Christus Health
    Jan 2024 - Apr 2024 (4 months)
    • Executed ETL procedures, strengthen data quality by 81% across Latin America. • Developed Python scripts to streamline data processing overhaul data efficiency and produced monthly reports using advanced Excel spreadsheet functions. • Created Power BI dashboards, advancing operational expertise by 25% and designed custom tracking systems to monitor KPIs, ensuring alignment with organizational goals and objectives. • Established data governance guidelines, decreasing processing time by 20%. • Revamped decision-making processes with accurate data analysis and visualization techniques. • Collaborated with cross-functional teams to ensure data integrity and accuracy, resulting in a 30% increase in team decision-making efficiency. • Man
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    Business - Data Analyst
    Everest Group
    Jan 2019 - Jul 2022 (3 years 7 months)
    • Managed data projects using Agile methodology, examining over 100,000 real estate records. • Built predictive models with Python, R, and SAS, restructuring inventory management by 20% and optimizing marketing campaigns, escalates conversion rates by 25%. • Integrated cloud-based data solutions, reducing manual effort by 70%. • Conducted A/B testing and evaluated marketing campaigns using various statistical methods, boosting conversion rates by 20% and measuring success conclusively. • Implemented advanced visualization tools, enabling stakeholders to easily understand complex data patterns and trends. • Generated business intelligence reports and delivered analysis of market, sales, and consumer trend impact on long and short-term stra
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    Data Analyst
    Elkins Tradelink PVT LTD
    Nov 2017 - Dec 2018 (1 year 2 months)
    • Streamlined database operations with Python and SQL, cutting analysis time by 67%. • Deployed predictive analytics models and conducted exploratory data analysis, refining forecasts for cotton yarn market, reduces 25% in forecasting errors. • Identified patterns and trends in large data set, translating findings into actionable insights, enrich business strategies, and kick up to a 10% increase in market share within first year. • Implemented versatile reporting in Power BI, complement stakeholder engagement by 40%. • Leveraged Google Analytics for sales strategy optimization, increasing revenue by 15%.
Education verified_user 0% verified
  • T
    Master of Science in
    The University of Texas at Arlington
    Aug 2022 - May 2024 (1 year 10 months)
  • Gujarat Technological University
    Master of Business Administration: International
    Gujarat Technological University
    Jul 2016 - May 2018 (1 year 11 months)
  • Gujarat Technological University
    Bachelor of Business Administration: Business
    Gujarat Technological University
    Jul 2013 - May 2016 (2 years 11 months)
Projects verified_user 0% verified
  • Y
    YouTube Daily Trending Videos
    Aug 2023 - Dec 2023 (5 months)
    • Applied Descriptive Statistics and Multiple Regression to uncover key video popularity drivers in a YouTube dataset of over 40,000 records from 10 countries. • Plot a Predictive Model with SAS, Python, and Tableau to offer actionable insights and uplift video engagement and reach.
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    Ames Housing Price Prediction
    Aug 2022 - Dec 2022 (5 months)
    • Regulate Data Analysis on Ames Real Estate data exercising Python, identifying key factors affecting home prices through regression analysis and achieving 85.7% prediction accuracy. • Harnessed Python for predictive modeling on 2,930 Ames property sales, guiding effective property improvement strategies.
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    Movie Prediction: Dramatic Genres
    • Employed Natural Language Processing (NLP) for Data Analysis to predict movie genres from descriptions, obtain an astounding 87% accuracy. • Deploy Data Models to fill data gaps and deliver useful analysis for casting and production, impacting tactical choices made by film business. • Imposed Front-end technologies for user interface design and optimization. • Applied Descriptive Statistics and Multiple Regression to uncover key video popularity drivers in a YouTube dataset of over 40,000 records from 10 countries. • Plot a Predictive Model with SAS, Python, and Tableau to offer actionable insights and uplift video engagement and reach. • Regulate Data Analysis on Ames Real Estate data exercising Python, identifying key factors affe