Neha TM
@nehatm
I build data pipelines and analytics solutions that turn operational data into actionable predictions and reporting.
What I'm looking for
I've built data-driven systems for semiconductor defect detection, vehicle engine health prediction, traffic optimization, and real-time alerting. At Kshipani Tech Ventures Private Limited, I developed a Python ML pipeline that transformed manufacturing sensor data into defect-classification predictions, supported by FastAPI REST APIs, database storage, and performance monitoring.
I use Python, SQL, Excel, Power BI, Pandas, and Scikit-learn to collect, clean, analyze, and communicate data. I'm especially interested in applying analytics and machine learning to operational data, process improvement, KPI tracking, and decision-making.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
Kshipani Tech Ventures Private Limited
Worked on a web-based semiconductor defect detection platform, applying data collection, cleaning, and analysis to manufacturing sensor data. Built an end-to-end ML pipeline in Python and implemented FastAPI-based REST APIs for data uploads and predictions.
Education
Degrees, certifications, and relevant coursework
New Horizon College of Engineering
Bachelor of Engineering, Artificial Intelligence and Machine Learning
2022 -
Grade: 9.34 CGPA
Pursuing a Bachelor of Engineering in Artificial Intelligence and Machine Learning with a CGPA of 9.34.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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