Welcome to my GitHub profile! I'm parth mistry, currently am transitioning from a strong background in market research to a data science role. With an MBA and M.Sc. in Biotechnology, I blend analytical skills with technical expertise to create data-driven solutions. My passion for harnessing data to solve complex problems drives me to constantly explore new tools and techniques. I focus on machine learning, AI, and statistical modeling to deliver actionable insights, optimize processes, and support data-driven decision-making.
Popular repositories Loading
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tokyo-olympic-azure-data-engineering-project-DS
tokyo-olympic-azure-data-engineering-project-DS PublicThis project aims to build a complete data pipeline for Olympic Data Analytics using various Azure services. It focuses on ingesting, transforming, and analyzing Olympic data, such as information oβ¦
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Pizza_Sales_SQL
Pizza_Sales_SQL PublicSQL project analyzing pizza sales data. Includes creating tables, executing queries, and solving basic to advanced analytical questions to derive insights from sales data.
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Machine-Learning-Foundations-for-Product-Managers-Project
Machine-Learning-Foundations-for-Product-Managers-Project PublicMachine learning project predicting the energy output of a power plant using environmental data (temperature, pressure, humidity, vacuum). Linear Regression and Random Forest models were compared, β¦
Jupyter Notebook
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Data-Analytics-Project-Python-SQL-
Data-Analytics-Project-Python-SQL- PublicThis end-to-end data analytics project demonstrates how to integrate Python and SQL for data processing and analysis. I used the Kaggle API to download the "Retail Orders" dataset, processed the daβ¦
Jupyter Notebook
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Spotify_SQL_Project
Spotify_SQL_Project PublicThis project analyzes Spotify data using SQL to perform exploratory data analysis (EDA) and complex queries. Key tasks include calculating correlations, ranking tracks, and aggregating metrics likeβ¦
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SQL-Project-Analyzing-Retail-Sales-Data
SQL-Project-Analyzing-Retail-Sales-Data PublicSQL project focused on analyzing retail sales data, querying databases to uncover trends, performance metrics, and actionable insights.
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