
Sayantan Bhattacharjee
@sayantan_bhattacharjee
I turn large datasets into predictive models, dashboards, and practical business recommendations.
What I'm looking for
I've built predictive models and analytical dashboards across diamond pricing, Netflix content, housing values, crop yields, and Uber ride fares. My work spans datasets from 891 to more than 200,000 records, translating patterns into practical findings.
In a diamond valuation project, I developed a Python linear-regression pipeline for 53,940 entries and extended the analysis into interactive Power BI dashboards and a KNIME ETL workflow. For Uber fare prediction, I identified non-linear effects of trip distance and duration using a fourth-degree polynomial model.
My economics training also shapes how I approach data. For my undergraduate dissertation, I used STATA to examine employment, wages, poverty, and inequality in post-reform India.
Alongside analytics, I've coordinated large student events as a Senior Member of the Economics Society, organising Ecopolemics for roughly 180–200 attendees across multiple colleges.
Experience
Work history, roles, and key accomplishments
Senior Member, Economics Society
Maulana Azad College
Organised Ecopolemics, the department's flagship economics festival spanning 10-12 events and drawing roughly 180-200 attendees from multiple colleges. Directed event planning, volunteer coordination, scheduling, logistics, and stakeholder communication to ensure seamless execution.
Education
Degrees, certifications, and relevant coursework
University of Calcutta
Bachelor of Science, Economics
Grade: 83.65%
Pursued a Bachelor of Science (Honors) in Economics, graduating with 83.65%.
Patha Bhavan
Higher Secondary, General Studies
Grade: 88.20%
Completed Higher Secondary education with 88.20%.
Patha Bhavan
Secondary, General Studies
Grade: 82.14%
Completed Secondary education with 82.14%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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