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Click here or scroll down to respond to this candidateCandidate's Name
Phone no: +1 (Street Address EDUCATIONMaster of Science in Business Analytics GPA - 3.67 The University of Texas at Arlington Aug 2022 May 2024 Master of Business Administration: International Business GPA - 3.8 Gujarat Technological University Jul 2016 May 2018 Bachelor of Business Administration: Business Administration GPA - 3.7 Gujarat Technological University Jul 2013 May 2016 SKILLS & ABILITIESProgramming & Analysis: Python, R, SQL, Advanced Excel (Pivot Tables, VLOOKUP, Macros), Report Writing, ETL Processes. Data Visualization: Tableau, Power BI, Orange, KPI Tracking. Big Data Technologies: Apache Spark, Kafka.Cloud Platforms: AWS, Azure, Google Cloud.Data Warehousing: Snowflake, Redshift, BigQueryMachine LearningFrameworks:Scikit-Learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, TensorFlow, Keras, XGBoost, Text Analytics. Project Management Tools: Microsoft Teams, GitHub, Agile, JIRA. Business Skills: Forecasting, Planning, Decision-Making, Project Management, Analytical Reasoning, Creativity, Adaptability, Analytical ThinkingEXPERIENCEChristus Health Data Analyst (Capstone Project) USA Jan 2024 April 2024Executed 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.Everest Group Business - Data Analyst India Jan 2019 July 2022Managed 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 strategies, informing strategic decision-making processes and contributing to a 15% improvement in quarterly revenue forecasts.Analyzed GIS data, optimizing resources and reducing expenses by 15%.Reinforce customer satisfaction rates by assessing user feedback data and recommending targeted improvements to products or services, lead to a 20% decrease in customer churn over six months. Elkins Tradelink PVT LTD Data Analyst India Nov 2017 Dec 2018Streamlined 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%. PROJECTSMovie Prediction: Dramatic GenresEmployed 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. YouTube Daily Trending VideosApplied 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. Ames Housing Price PredictionRegulate 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. |
