Projects
A collection of my most notable projects, showcasing my skills and experience in data analysis and visualization.
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Pizza Sales Analytics 🍕
Project Overview
Conducted an in-depth analysis of pizza sales data for a local restaurant using SQL Server Management Studio (SSMS) and Power BI. Unveiled best sellers, optimized staffing, identified revenue-leading pizza categories, and tracked monthly trends, enhancing strategic decision-making.
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Sentiment Analysis on Demonetization
Project Overview
Analyzed 1M tweets to uncover actionable insights on economic sentiment shifts, demonstrating leadership and collaboration skills. Optimized sentiment analysis workflows, achieving a 50% reduction in processing time with Python and PySpark, exemplifying technical expertise.
ML: Purchase Probability Analysis
Project Overview
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Led an extensive data mining initiative employing advanced statistical models, including neural networks, clustering, and Naive Bayes, to predict customer-specific product purchase probabilities with an accuracy exceeding 85%.
Trends in Aviation Accidents
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Project Overview
Presented insights and forecasts on aviation accident trends, recognized by Tableau for outstanding work. Enhanced ETL processes, reducing data redundancy by 40% and increasing processing speeds by 38%, demonstrating problem-solving and technical expertise.
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Walmart Sales Analysis
Project Overview
Analyzed Walmart's sales data using SQL operations to uncover valuable insights, identifying key sales influencers and optimizing strategies based on data, revealing a direct relationship between store size and average weekly sales.
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EV Market Analysis
Project Overview
Conducted a comprehensive market analysis for portable EV chargers, identifying key target segments, assessing financial feasibility, and developing a comprehensive financial plan, with 86% of respondents expressing interest in the product.
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LA Crime Data: EDA
Project Overview
Conducted a comprehensive analysis of crime data in Los Angeles, utilizing Python programming and data visualization tools to derive valuable insights. Identified patterns and visualized key findings, including peak crime hour, peak night crime area, and crimes against victims by age group.
