Ishaan Potle
Phone: (631) 615-5837
Hi there! I'm a Data Science grad student at Stony Brook University who loves turning complex data into clear, useful insights. Whether it's building smart tools, exploring patterns in big datasets, or creating interactive visualizations, I enjoy combining curiosity with code to solve real-world problems. Feel free to explore my projects they are a reflection of what I love doing and what I’m always excited to learn more about!

PROFESSIONAL EXPERIENCE
SWE Intern
2025
Quantum Pulse Consulting
New York, United States.
• Improved model testing workflows by building and debugging 6+ REST API endpoints using FastAPI, cutting manual testing time by 25%.
• Supported the team in integrating open-source ML libraries (e.g., scikit-learn, Hugging Face Transformers) into prototype pipelines and internal apps.
• Benchmarked 3 pre-trained models (Hugging Face + scikit-learn) on sample datasets, helping select the optimal baseline for internal NLP tasks.
• Collaborated with program managers to align sprint priorities with long-term research goals, ensuring high
engineering velocity and stakeholder satisfaction.
Data Research Analyst Intern
2021 - 2022
iSchoolConnect
Mumbai, India.
• Managed data collection across platforms, gathering and maintaining 100,000 plus records with quality checks.
• Contributed to the development of a Flutter app, designing 5 key features while ensuring a responsive UI.
• Assisted in migration of 1TB database from SQL to MongoDB, optimizing data storage and retrieval processes.
• Contributed to data analysis and visualization projects, presenting to the team with the help of Looker Studio.
Data Analyst Intern
2023
Creative Innovation
Mumbai, India.
• Implemented an educational website using BERT for personalized recommendations, boosting engagement by 15%
• Led a team of 4 to build a React.js front-end and backend system with Node.js, delivering 10% early.
• Optimized API performance by 1% refining queries and documented backend processes for better maintainability.
• Developed interactive data visualizations with D3.js to provide insights on student progress and content efficacy
EDUCATION
Stony Brook University
Master’s in Data Science
Stony Brook, New York.
2024 - 2026
NMIMS's MPSTME
Bachelor of Tech. in Computer Engineering
Mumbai, India.
2020 - 2024
SKILLS & EXPERTISE
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Languages: Python, C++, SQL, R, HTML, CSS
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Cloud and Big Data Infrastructure: AWS (EC2 and S3), Hadoop, Kafka, Airflow, Docker, Astro
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Databases and Warehousing: PostgreSQL, MongoDB, Snowflake, ELT
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Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn, Tensorflow, Plotly, XGBoost
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Frameworks: Flask, FastAPI
Manuscripts
• “Ensemble Learning with Hybrid Modeling for Multivariate AQI PM2.5 and PM10 Forecasting in Mumbai”, International Conference on Computer Science and Emerging Technologies, IEEE
• “Enhancing Disaster Tweet Classification with Ensemble Models and Multiple Embeddings”,2023 4th Global Conference for Advancement in Technology (GCAT), IEEE