Bhavesh Purohit

Hello, I am Bhavesh Purohit

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Passionate data enthusiast skilled in uncovering insights and presenting them in clear, compelling ways for non-technical audiences. Excelling in big data exploration and machine learning, always eager to learn and adapt to new technologies. I see data as a playground for innovation and enjoys predicting trends and discovering correlations.

About Me

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Hi, I’m Bhavesh Purohit, a data-driven problem solver with a passion for AI, machine learning, and cloud technologies. I thrive on transforming raw data into meaningful insights, building intelligent solutions that drive real-world impact. I hold a Master’s in Information Systems from Syracuse University and a Bachelor’s in Electronics and Telecommunication Engineering from the University of Mumbai. My academic journey has been a blend of software development, data science, and AI research, equipping me with a strong foundation in programming, analytics, and system architecture. With hands-on experience in data science, analytics, and software engineering, I’ve built AI-powered recommendation systems, predictive models, and large-scale ETL pipelines. From designing knowledge graphs to automating real-time data processing, I enjoy tackling complex challenges with Python, SQL, cloud platforms, and machine learning frameworks. Let’s connect and build something innovative together!

My Timeline 💫

Skills

Python
R
SQL
Snowflake
Tableau
Power BI
Microsoft Excel
Amazon Web Service
Microsoft Azure
Databricks
Alteryx
Apache Airflow

Projects

Project Visualization

Cloud-Based ELT for Stock Data Management using Python

This project harnesses Python and Alteryx for efficient data wrangling, coupled with a cloud-based ELT pipeline via Azure Functions, Logic Apps, and Azure Synapse Analytics for streamlined stock data handling. This setup automates data extraction, and transformation, and updates notifications, while Synapse Pipelines facilitate data refreshes and resource optimization.

Project Visualization

NLP Driven Insight into Spotify Usage

This project delves into user preferences, playlist creation, and track patterns to enrich music enjoyment. By uncovering insights, we aim to enhance the user experience and offer tailored recommendations, ultimately contributing to the dynamic landscape of digital music consumption.

PowerSC Forecasting Residential Energy Usage Across South Carolina

Energy Optimization for Peak Demand in South Carolina

PowerSC aims to tackle the challenge of managing electricity demand in South Carolina and nearby areas during peak summer months, focusing on preventing blackouts without building new infrastructure. By analyzing detailed house data, hourly energy usage, and weather patterns, the project seeks to understand consumption drivers and promote energy conservation among customers, aligning operational efficiency with environmental sustainability.

Get in Touch

+1 680-356-8409