I seek roles where I can apply data analytics, NLP, and visualization to solve real problems, learn ML/NLP techniques, and contribute to data-driven decision-making in collaborative teams.
Samarpita Chowdhury
@samarpitachowdhury
Data scientist-focused analyst skilled in analytics, NLP, and data storytelling.
What I'm looking for
I am a data-focused analyst with hands-on experience in large-scale resume-job dataset analytics, NLP for digital humanities, and end-to-end retail and customer intelligence solutions. I combine SQL, Python, and visualization tools like Power BI and Tableau to drive actionable insights and measurable business impact.
My work includes building IR-based ranking pipelines (BM25/TF-IDF) evaluated with NDCG, MAP, and P@10, refining NER and entity linking for knowledge graph construction, and delivering dashboards and analyses that exposed margin leakage, informed pricing strategy, and reduced churn.
Experience
Work history, roles, and key accomplishments
Research Intern
Sister Nivedita University
Contributed to an NLP and knowledge-graph digital humanities project on the Mahābhārata by validating NER outputs, performing entity normalization and cross-verse linking to enable ontology-driven knowledge graph construction for AI-assisted education.
Research Intern
Sister Nivedita University
Analyzed 10K+ resume-job datasets by designing an IR ranking pipeline using BM25/TF-IDF and evaluated performance with NDCG, MAP, and P@10 to compare lexical vs neural approaches and derive actionable insights.
Education
Degrees, certifications, and relevant coursework
Sister Nivedita University
Bachelor of Technology, Computer Science
2023 -
Grade: 8.89/10
Activities and societies: Relevant coursework: Database Management Systems, Object Oriented Programming, Data Science, Artificial Intelligence, Machine Learning, Probability and Statistics, Design Thinking.
Pursuing a Bachelor of Technology in Computer Science with coursework in DBMS, OOP, Data Science, AI, Machine Learning, and Probability & Statistics; achieved a CGPA of 8.89/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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