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Avijit Pakhira

@avijitpakhira

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Machine learning intern building computer vision and NLP systems to turn data into actionable insights.

India

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What I'm looking for

I’m excited to apply my ML, computer vision, and NLP skills to real products—building accurate models, clean pipelines, and measurable improvements while learning from strong engineering teams.

I’m a Machine Learning Intern who designed and implemented a Personal Fitness Tracker using ML techniques to analyze user activity data and generate personalized health insights. I work across the full pipeline—from preprocessing and feature engineering to model evaluation—while staying hands-on with deployment-ready tooling.

My projects focus on real-world perception and analytics, including real-time object detection with OpenCV and YOLOv3, an OMR sheet checker for automated scoring, and an AgriTech system combining CNN-LSTM forecasting with ML ensembles for crop recommendation (90%+ accuracy). I also contribute to research on efficient CNN-based face recognition using Vedic Mathematics and Karatsuba’s algorithm, and I’m driven to build solutions that are both accurate and efficient.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

Edunet Foundation

Mar 2025 - Apr 2025 (1 month)

Designed and implemented a Personal Fitness Tracker using Python and applied ML techniques to analyze user activity data and generate personalized health insights. Performed data preprocessing, feature engineering, and model evaluation as part of a structured AI/ML engineering curriculum.

Python Machine Learning data preprocessing Feature Engineering Model Evaluation Health Analytics