Praveen
Portfolio

Performed stock price trend and correlation analysis on major tech companies using Python for data-driven insights.

Tools used: Python (pandas, NumPy, Matplotlib, Seaborn), Spyder IDE, GitHub Documentation.

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Performed data analysis on Netflix dataset to extract insights on user behavior and content preferences.

Tools used: SQL (PostgreSQL / MySQL), Dataset (CSV), GitHub Documentation.

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Analyze loan data to uncover patterns in default rates across demographics and financial metrics, and develop insights to mitigate risk..

Tools used: SQL (database queries), Power BI (dashboard & visualizations), Power Query for ETL/transformations, DAX for custom metrics.

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Analyzed sales transaction data to identify revenue trends, top-performing cities, best-selling products, and cross-selling opportunities.

Tools used: Python (pandas, NumPy, Matplotlib, Seaborn), Feather Dataset, Jupyter Notebook, GitHub Documentation.

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Explore Airbnb listing data to uncover pattern across room types, pricing, availability, and host activity in NYC.

Tools used: Python (pandas, NumPy) · SQL · Matplotlib / Seaborn · Exploratory Data Analysis.

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Designed and implemented a cloud-based data pipeline to automate data ingestion, transformation, and reporting for analytics use cases.

Tools used: AWS S3, Snowflake, Power BI, SQL.

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Developed SQL queries to analyze retail sales data, focusing on sales performance and trends.

Tools used: SQL (T-SQL) · Data Cleaning · Exploratory Data Analysis (EDA).

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Investigate whether a person’s handedness (left / right / ambidextrous) is associated with differences in age at death.

Tools Used:Python (pandas, NumPy, Matplotlib) · Jupyter Notebook · Bayesian Analysis · Data Visualization

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