Animesh Sarkar
@animeshsarkar2
Data scientist specializing in AI/ML, computer vision, and production-ready data engineering.
What I'm looking for
I am a data scientist with two years of hands-on experience building AI/ML solutions in computer vision, NLP, and time-series forecasting. I have a proven record of deploying predictive models and production pipelines that deliver measurable business impact.
At Cambridge Technology Enterprises I led process automation and AI video pipelines—reducing manual effort by 60%, achieving 80% predictive-model accuracy for inventory tasks, and producing a Gemini-powered video annotation pipeline with 95% labeling accuracy for 10,000+ frames weekly.
I combine deep learning expertise (TensorFlow, PyTorch, ResNet, SAM), data engineering (ETL, automated scraping, cloud deployments on GCP/Azure), and full-stack capabilities (Streamlit, FastAPI, Angular) to deliver scalable, actionable ML products that improve efficiency and drive business outcomes.
Experience
Work history, roles, and key accomplishments
Data Scientist
Cambridge Technology Enterprises
Jun 2023 - Present (2 years 4 months)
Led development and deployment of AI/ML solutions including an LLM-powered video annotation pipeline (95% accuracy) and predictive inventory models (80% accuracy), reducing manual effort by 60% and improving supply chain efficiency by 25%.
Data Engineering Professional
MedEasyTour
Jan 2023 - Feb 2023 (1 month)
Designed and optimized relational database architectures and led large-scale data analysis projects, improving data retrieval speed by 40% and delivering actionable insights for operations.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Kharagpur
Master of Technology, Infrastructure Design and Management
Grade: 8.41/10
Master of Technology in Infrastructure Design and Management completed in 2023 with a focus on infrastructure design and management.
KIIT University
Bachelor of Technology, Civil Engineering
Grade: 8.7/10
Bachelor of Technology in Civil Engineering completed in 2018 with coursework in civil engineering principles and applications.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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