Education
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2022 - 2024
The State University of New York, Buffalo, New York
Master of Science, Industrial Engineering (Specialisation in Operations Research)
Course work: Stochastic Modelling, Linear Programming, Applied Stochastic Processes, Discrete Optimization, Simulation and Stochastic Modelling, Global Operations Management, Statistical Data Mining, E-Business and Supply Chain Management
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2016 - 2020
Visvesvaraya National Institute of Technology, India (NIT Nagpur)
Bachelor of Technology, Chemical Engineering
Experience
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2023 - Present
Decision, Risk & Data Lab, University at Buffalo
Research Data Analyst
• Developed an optimization model for Oregon’s 2021 wildfire data, achieving substantial reductions in social costs from PM2.5 emissions.
• Conducted risk assessments on prescribed burns, quantifying emissions and social costs to guide strategic planning and optimize resource
• allocation.
• Applied a multi-objective decision model to optimize prescribed burn acreage, significantly reducing management costs and improving
emissions control -
2023 - 2023
General Electric (GE) Appliances, a Haier Company
Business Data Analyst Intern, NPI Program
• Performed comprehensive lab data analysis with Minitab, increasing process capability and quality control metrics by 15% for Gas and
Electric DC units.
• Automated material planning and data transformation workflows employing SQL and Excel functions, reducing processing time by 5%.
• Conducted Gage R&R studies using ANOVA, maintaining high precision in quality metrics with variation limits between 0%-10%. -
2021 - 2021
Tata Consulting Engineers Private Limited
Business Data Analyst
• Engineered interactive dashboards in Power BI and advanced Excel, driving a 30% boost in operational efficiency by uncovering actionable
insights from client data.
• Integrated data from multiple sources using SQL joins and data cleansing techniques, enhancing reporting accuracy by 25% and reducing
processing time by 20 hours per month.
• Optimized inventory management by designing data models and dashboards, facilitating better resource allocation and reducing inventory
costs by 15%.