Harsh Bajpai
@harshbajpai
Data Scientist and AI Developer building accurate ML models and scalable analytics pipelines.
What I'm looking for
I’m a Data Scientist and AI Developer who writes high-quality Python, builds complex ML models, and designs scalable analytics pipelines that stakeholders can actually use. I focus on clear code, rigorous evaluation, and translating results into actionable decisions.
In research and teaching-oriented roles, I evaluate student-generated analytical code for accuracy, computational performance, and clarity, helping teams bridge raw data pipelines to real-world AI modeling. I also design and solve Python coding problems for multimodal data pipelines—synchronizing continuous video with hardware sensor data—and use OpenCV to automate camera labeling and create high-fidelity ground truth datasets.
At BK7 Technologies as a Data Science Intern, I delivered measurable impact by building automated SQL and Python ETL pipelines with Tableau to cut KPI reporting turnaround by 25%. I evaluated forecasting models and architected ensemble regression classifiers to improve demand planning accuracy by 18%, while reusable preprocessing and anomaly detection increased analysis-ready data quality by 22% and improved model robustness by 20%.
Experience
Work history, roles, and key accomplishments
Data Science Researcher
San Francisco State University
Jan 2026 - Present (7 months)
Designed and implemented Python-based multi-modal data pipelines to synchronize continuous video feeds with hardware sensor data for physical infrastructure monitoring. Used OpenCV for computer vision pattern evaluation and created high-fidelity ground truth datasets, with robust time-series processing to ensure data integrity.
Data Science Intern
BK7 Technologies
Aug 2023 - Apr 2024 (8 months)
Automated KPI reporting by building SQL and Python ETL pipelines, reducing turnaround time by 25%. Evaluated and improved predictive forecasting models using ensemble regression classifiers, increasing demand planning accuracy by 18%, and strengthened data quality via reusable preprocessing workflows and automated anomaly detection.
Education
Degrees, certifications, and relevant coursework
San Francisco State University
Master of Science, Statistical Data Science
Grade: GPA: 3.78/4.0
Activities and societies: Top 5 master’s student; Teaching Assistant
Master of Science in Statistical Data Science with a GPA of 3.78/4.0. Ranked in the top 5 of the master’s cohort and served as a Teaching Assistant.
RGPV University
Bachelor of Technology, Electronics and Communication Engineering
Grade: GPA: 8.98/10.0
Activities and societies: Batch Topper
Bachelor of Technology in Electronics and Communication Engineering with a GPA of 8.98/10.0. Graduated as the batch topper.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
harshbajpai1235.github.io/portfolioJob categories
Skills
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