Teaching Assistant- IIT Ropar & IIT Madras | Charpak Lab Fellow'24 @PSL-University 🇫🇷 | MitacsGRI'23 @University-of-Montreal 🇨🇦 | Siemens Scholar'24 | IIT-M
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Indian Institute of Technology Madras
Data Scientist
June 12, 2026 – Present
ADS_CourseAssignment
April 7, 2026 – Present
Algorithms for Data Science (BSDA5003) course assignment
View Projectcustomer_segmentation
April 7, 2026 – Present
Application of KMeans in Business Intelligence. Used RFM analysis on online retail dataset ii (UCI) to perform Customer Segmentation
View ProjectExcel-for-DA
November 24, 2025 – Present
Excel files used in teaching for Data Analysis Bootcamp
View Projectlinear-statistical-models
September 26, 2025 – Present
Repo for Exam copies & Programming assignments of (BSMA3012) - Linear Statistical Models
View ProjectBSMS3002
August 10, 2025 – August 10, 2025
BSMS3002 Market Research Project - Customer Satisfaction Dataset
View ProjectBSMS2002
June 16, 2024 – Present
Resource Repository for TA sessions of Course Business Analytics (BSMS2002)
View Projectsoft-engg-project-jan-2024-se-jan-18
February 16, 2024 – April 18, 2024
Software Engineering (BSCS3001) - Project Repository by Team 18
View ProjectCultural Fit Analysis
The candidate's projects show a breadth of interests, including web development (HTML, CSS, JavaScript, Vue, TypeScript), general programming (Python, Go, Shell), and data-related tasks (Jupyter Notebook, R). While this indicates versatility, the target role is 'Data Scientist', and many projects are not directly aligned with advanced data science concepts or industry-specific applications. The single listed experience as 'Data Scientist' at IIT Madras is current and has no start date, making it difficult to assess its depth or relevance. The candidate's experience level is 0, which contradicts the listed 'Data Scientist' role, suggesting this might be an academic or research assistant position rather than a full-fledged industry role. This discrepancy impacts cultural fit for a senior Data Scientist role requiring practical industry experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.