Vaidehi Pawar
Research Assistant @ Fowler College of Business at San Diego State University
About
As a Master’s student in Computer Science at San Diego State University, I thrive at the intersection of machine learning, data engineering, and software development. My academic foundation, combined with hands-on industry experience, allows me to design intelligent, scalable systems that transform data into meaningful, actionable outcomes. I’ve worked with machine learning models, MLOps pipelines, and large-scale data systems, leveraging tools like TensorFlow, PyTorch, Scikit-learn, MLflow, and Docker to build, deploy, and optimize models for real-world impact. My experience spans across data preprocessing, model versioning, and deployment automation on AWS and Azure, ensuring efficiency, scalability, and reliability throughout the ML lifecycle. Proficient in Python, SQL, C++, and data analysis frameworks such as Pandas, NumPy, and Power BI, I specialize in applying AI and data-driven insights to solve complex problems. I’m passionate about combining technical depth with creativity — whether it’s fine-tuning models, engineering cloud workflows, or building robust data pipelines with Spark and Airflow. With a strong sense of collaboration and curiosity, I enjoy working in multidisciplinary environments that blend analytics, engineering, and innovation. I’m currently seeking full-time opportunities in Machine Learning Engineering, Data Science, or Software Engineering, where I can contribute to impactful projects, grow as a professional, and help organizations harness the power of data and AI. Let’s connect — I’m always open to discussing new ideas, technologies, and opportunities!
United States
San Diego
Higher Education
Assistants, Deep Learning, PyTorch, TensorFlow, Natural Language Processing (NLP), Data Mining, MongoDB, MySQL, Human Computer Interaction, Data Structures, Exploratory Data Analysis, Data Models, OpenCV, FastAPI, Optical Character Recognition (OCR), JavaScript, Microsoft Excel, Tableau, Pivot Tables, Data Analytics
Experience
Research Assistant
Fowler College of Business at San Diego State University
San Diego, California, United States
Graduate Student Assistant
San Diego State University
San Diego, CA
I contributed significantly to the CS 549 Machine Learning course as a Graduate Student Assistant, focusing on enhancing student engagement and learning. • Graded assignments and exams promptly, providing essential feedback to students. • Conducted office hours to assist students with course material and complex concepts. • Worked closely with the instructor to create effective course materials that improved student outcomes.
Graduate Student Assistant - (Fowler College of Business)
San Diego State University
San Diego, California, United States
• Graded assignments, case write-ups, and exams using calibrated rubrics for consistent evaluation. • Provided detailed feedback on valuation analyses to enhance student understanding of financial concepts. • Managed Canvas submissions and coordinated with faculty on academic integrity and exam proctoring.
Machine Learning Intern
Persistent Systems
Pune, Maharashtra, India
• Developed a machine learning system to identify duplicate questions from over 400K pairs, achieving ~80% accuracy. • Designed a multi-stage approach combining embeddings and intent classification, enhancing accuracy from ~70% to ~85%. • Executed data preparation, feature engineering, and model evaluation using Python and scikit-learn, ensuring reproducibility and clarity in reporting.
Data Science Intern
Oasis Infobyte
Pune, Maharashtra, India
• Developed an end-to-end sales forecasting pipeline utilizing ad spend, channel, and seasonality data. • Engineered lag/rolling features and analyzed holiday effects to enhance model accuracy. • Benchmarked various models including Linear, Ridge, Lasso, Random Forest, and XGBoost using time-series cross-validation. • Automated weekly scoring and reporting processes to streamline insights delivery.
Data Science Intern
SK Technovation
Pune, Maharashtra, India
• Developed a Random Forest classifier to tier marathon runners based on pace, cardiac cost, and VO₂ max, achieving 87% accuracy. • Engineered physiological indicators and a weighted scoring framework from over 1,000 athlete records, providing insights for 65% of athletes. • Built a comprehensive analysis pipeline using Python, scikit-learn, and pandas, focusing on data cleaning and performance dashboards.
Education
San Diego State University
Computer Science
Coursework : Spring 2026: CS649 - Big Data Tools and Methods Fall 2025: CS 553 - Neural Networks CS 653 - Data Mining CS 648 - Advanced Topics in Web and Mobile Applications Spring 2025: CS 659 - Visual Perception and Learning CS 576 - Computer Networks and Distributed Systems CS 577 - Principles and Techniques of Data Science Fall 2024: CS 549 - Machine Learning CS 514 - Database Theory Implement CS 660 - Algorithm Analysis Design CS 601 - Graduate Seminar
Savitribai Phule Pune University
Computer Engineering
Along with an Honour's Degree in Data Science (2022- 2024) at Pimpri Chinchwad college of Engineering & Research (afflicted with SPPU)
Vaidehi Pawar's Contact Information
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