Srinivas Vulli
@srinivasvulli
Data-focused information systems graduate skilled in ML, analytics, and visualization.
What I'm looking for
I am a Masters in Information Systems candidate with a strong foundation in Electronics and Communication Engineering and hands-on experience in data analysis, machine learning, and dashboarding. I have applied Python, R, SQL, and cloud tools to build data pipelines, models, and interactive visualizations that inform decisions.
As a Graduate Research Assistant, I analyzed complex datasets, synthesized literature across 150+ sources, and collaborated on a mobile prototype while implementing data extraction and preprocessing using SQL and Python. I also delivered ML projects during an AI internship, improving model reliability in production-like settings.
My projects include a personalized e-commerce recommendation engine, an EV population analysis dashboard, and climate policy optimization work demonstrating measurable impact and scalable engineering. I seek roles where I can combine analytical rigor, ML engineering, and dashboarding to drive data-informed strategy.
Experience
Work history, roles, and key accomplishments
Data Science Project Lead
Central Michigan University
Aug 2025 - Nov 2025 (3 months)
Engineered a personalized e‑commerce beauty platform with a recommendation engine and scalable SQL database handling 10,000+ records, achieving 30% higher simulated engagement and 90%+ recommendation accuracy.
Data Analyst (Project)
Central Michigan University
Aug 2025 - Aug 2025 (0 months)
Built an interactive Tableau dashboard and predictive models to analyze EV distribution and demographics, providing site-selection insights and forecasting EV adoption to inform infrastructure policy.
Climate Policy Analyst
Central Michigan University
Mar 2025 - Mar 2025 (0 months)
Modeled climate mitigation strategies using EN-ROADS and optimization techniques to identify policy mixes projecting ~72% emissions reduction by 2100 and validated recommendations across five analytical methods.
Graduate Research Assistant
Central Michigan University
Aug 2024 - Dec 2024 (4 months)
Analyzed complex datasets and synthesized 150+ academic sources to support two research initiatives; engineered a mobile app prototype through three iterative cycles and built SQL/Python ETL pipelines for deepfake detection research.
Machine Learning Intern
1Stop AI
May 2022 - Jun 2022 (1 month)
Developed three ML projects (diabetes, spam, iris) using Python, applying advanced preprocessing and feature engineering to improve model accuracy and deployment reliability by 10%.
Education
Degrees, certifications, and relevant coursework
Central Michigan University
Master of Science, Information Systems
Grade: 3.7
Activities and societies: Graduate Research Assistant; projects include personalized e-commerce platform, EV population analysis, and climate policy optimization; used Python, SQL, Tableau.
Master's in Information Systems with coursework and research projects in data analysis, machine learning, and dashboarding; GPA 3.7.
Swami Vivekananda Institute of Technology
Bachelor of Engineering, Electronics and Communication Engineering
Grade: 3.0
Activities and societies: Internship at 1Stop AI; developed machine learning projects using Python and applied data preprocessing and feature engineering.
Bachelor's in Electronics and Communication Engineering with practical coursework in programming and embedded systems; GPA 3.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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