Disaster Tweet Classification
Built and compared 3 NLP models for disaster tweet classification. DistilBERT achieved 0.83 F1 score on Kaggle, outperforming ML baselines.
Hi, I'm Preetam Kulkarni
PhD-trained researcher skilled in machine learning, optimization, and simulation, with experience building predictive models, designing experiments, and developing scalable analytics solutions. Demonstrated ability to apply advanced analytical methods to drive data-informed decisions and solve complex business problems.
Projects
Precipitation Prediction
Designed a machine learning pipeline to predict precipitation occurrence and intensity to deliver stable, actionable city-level insights.
Sales Forecasting
Forecasted sales across 54 stores and 33 product families using XGBoost, DNN, and regression models.
Wafer Facility Simulation
Simulated a photovoltaic silicon wafer production facility to optimize investment for increased capacity.
Stochastic Analysis of Stock Prices
Developed a state transition matrix from historical data and simulated future stock price variation in Python.
NLP Sentiment Analysis
Applied a RoBERTa-based model to classify emotions in sentences from PDF and Word files. Visualized emotion distribution to analyze overall sentiment trends.
Response Surface Methodology
Used RSM to minimize salt dissolution time by tuning temperature, water volume, and stirring rate.
DOE on 3D-Printed PLA
Analyzed effects of infill percentage and print speed on tensile strength using Design of Experiments.
Predicting House Price
Predicted housing prices using decision trees and gradient boosting. Included feature engineering and model evaluation using RMSE.
Work Experience
Graduate Research Assistant
University of Texas at Arlington – Arlington, TX · Sep 2021 – May 2025
- Implemented sequential sampling to generate a Random Forest and XGBoost metamodel of an ABM of a crowd logistics network, reducing the number of simulation runs by 60% while maintaining 70% predictive accuracy
- Designed and deployed a cloud-based participatory ABM (Python, Tornado, MESA) on AWS EC2, enabling real-time scenario testing and supporting over 15 concurrent remote users, enhancing scalability and experimentation
- Performed sentiment analysis using a transformer NLP model on student feedback from simulation experiments, identifying key insights to improve simulation design — GitHub
- Mentored and collaborated with graduate students on GitHub, improving productivity and code quality in ABM development
- Created a prototype crowd logistics mobile app using Google AppSheet to help farmers optimize produce transport
- Developed an ABM of a centralized and decentralized crowd logistics network using Python and NetLogo, analyzing efficiency trade-offs across network designs — GitHub
Quality Engineer
John Deere - Hagie – Clarion, IA · May 2018 – Jul 2021
- Built an interactive Excel dashboard to analyze machine failures at assembly stations, supporting data-driven decision-making
- Conducted supplier risk assessments and audits using failure rates, quality and delivery PPM, improving supply chain reliability
- Facilitated FMEA and root cause analysis using 3L5Y and 8D to resolve recurring quality issues, enhancing product quality
Quality Engineer Co-op
Whirlpool – Amana, IA · Jun 2017 – Jan 2018
- Created process maps and analyzed quality defects to develop effective quality control plans
- Designed experiments to optimize processes, reducing annual service incident rate by ~0.3%
- Received “Whirlpool Bravo” award for development and implementation of Door Value Stream Quality System
Graduate Research Assistant
Iowa State University – Ames, IA · Jan 2017 – May 2017
- Developed stochastic & deterministic optimization models in MATLAB for production and inventory control, improving decision-making under uncertainty
Process Engineer
Tata Technologies Limited – Pune, India / Solihull, UK · Mar 2014 – Jul 2016
- Analyzed and improved data consistency by 40% in GSPAS – assembly process management tool that uses standard language
- Reviewed and eliminated Non-Value-Added (NVA) operations in GSPAS, reducing cycle time allocation by 30%
- Conducted knowledge transfer sessions on DELMIA V5 and GSPAS for 10 employees, enhancing team capability
Skills & Certifications
Data Analysis
Statistical Analysis
Machine Learning
Simulation
Risk Management
Other
Explore my featured certifications below. For a full list, visit my LinkedIn profile.
Relevant Coursework
Publications
- Krejci, C., Kulkarni, P., Paliwal, A., & Boardman, B. (2024). Using Participatory Agent-Based Modeling to Teach Systems Thinking for Inventory Control. IISE Annual Conference Proceedings, pp. 1-6. Institute of Industrial and Systems Engineers (IISE).
- Kulkarni, P., & Krejci, C. C. (2023, December). Matchmaking In Crowd-Shipping Platforms: The Effects Of Mediator Control. 2023 Winter Simulation Conference (WSC), pp. 303-314. IEEE.
- Kulkarni, P., Patel, P., & Krejci, C. (2023). Designing a collaborative online transportation platform for sustainable regional food distribution. IIE Annual Conference Proceedings, pp. 1-6. Institute of Industrial and Systems Engineers (IISE).
- Kulkarni, P., & Krejci, C. (2022, October). Evaluating a Crowd Logistics Network Using Agent-Based Modeling. Conference of the Computational Social Science Society of the Americas, pp. 21-34. Cham: Springer International Publishing.
- Kulkarni, P., Azizi, V., Wang, L., & Hu, G. (2021). Analysis of decision making and information sharing strategies in a two-echelon supply chain. International Journal of Supply Chain and Inventory Management, 4(1), 81-106.
- Mehr, M. N., Kulkarni, P., Wang, L., & Hu, G. (2017). Production Planning of a Three-echelon Supply Chain with Information Sharing. IIE Annual Conference Proceedings, pp. 1823-1828. Institute of Industrial and Systems Engineers (IISE).
- Kulkarni, P. (2015). Evaluation of mechanical properties of AL 2024 based hybrid metal composites. IOSR Journal of Mechanical and Civil Engineering (IOSR JMCE), 2278-1684.
Contact
Feel free to reach out if you'd like to discuss a project or potential collaboration!
Download Resume (PDF)