Hello, I am Bhavesh Purohit
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

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 💫
Reserach Analyst
Syracuse University
May 2025 - PresentGraduate Reserach Analyst
Nexis Student Technology LAB
Feb 2025 - Apr 2025Data Analyst
Clab AI
Aug 2024 - Dec 2024Data Analyst Intern
Clab AI
Jun 2024 - Aug 2024Student
Syracuse University
Pursuing Master of Science in Information Systems
Aug 2023 - May 2025System Engineer
Saint-Gobain International Delivery Centre
Aug 2022 - Jul 2023Business Operations Analyst
Bhawani Electronics
Jul 2020 - Jun 2022Project Coordinator
Sahu Technologies
Apr 2019 - Jun 2019Student
University of Mumbai
Bachelor of Engineering in Electronics and Telecommunications
Aug 2018 - May 2022Skills
Python
R
SQL
Snowflake
Tableau
Power BI
Microsoft Excel
Amazon Web Service
Microsoft Azure
Databricks
Alteryx
Apache Airflow
Projects
.jpg)
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.
.jpg)
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.

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