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Data Science with 6+ years in Data Analysis & Machine Learning.
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Assessing your cultural and operational fit
Data Science professional skilled in Python, SQL, and Power BI, with a Master's in Data Science. Proven ability to analyze complex datasets, build interactive dashboards, and develop machine learning models for actionable business insights. Experienced in HR attrition analysis, sales performance optimization, and criminal intent detection.
Vellore Institute of Technology, Chennai
M.Sc. · Data Science
August 1, 2024 – June 30, 2026
University of Calcutta
B.Sc. (Hons.) · Mathematics
August 1, 2019 – June 30, 2022
Self-Employed
Private Mathematics Tutor
January 1, 2020 – Present
Kolkata, West Bengal, India
Superstore Sales Performance Dashboard
June 1, 2026 – June 1, 2026
Analyzed 9,994 retail transactions across 4 regions to identify sales trends, discount impact, and profit leakage. Discovered Central region over-discounting (24% avg discount) reducing profit margin to 7.92%, significantly below company average. Developed interactive dashboard with region, category, and yearly drill-down filters to support executive reporting and business decision-making.
View ProjectHR Attrition Analysis Dashboard
June 1, 2026 – June 1, 2026
Analyzed 1,470 employee records and identified Sales Representatives as the highest-risk role with 39.76% attrition. Discovered overtime as a major attrition driver with employees working overtime being 3× more likely to leave (30.53% vs 10.44%). Built interactive Power BI dashboard with department, overtime, and age-group drill-down filters for KPI reporting, retention analysis, and workforce insights.
View ProjectCriminal Intent Detection Using DistilBERT
June 1, 2026 – June 1, 2026
Collaborated in a team project to create and annotate a custom 11K+ utterance dataset for harmful language and criminal intent classification using NLP preprocessing and exploratory data analysis workflows. Built a DistilBERT-based text classification pipeline achieving 85% accuracy and F1-score of 0.87 with optimized inference performance. Performed data cleaning, tokenization, class balancing, confusion-matrix analysis, and model evaluation to improve classification robustness and reliability.
View ProjectAI Tools Workshop
Unknown
June 1, 2026 – Present
Diploma in Information Technology
NBCE
June 1, 2026 – Present
Generative AI Foundations
Unknown
June 1, 2026 – Present
Interactive Data Visualisation
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a good breadth of data science applications, from business intelligence dashboards to advanced NLP tasks. The academic background in Mathematics and Data Science aligns well with a data-driven culture. The experience as a private tutor and class representative suggests a collaborative and communicative approach, which is beneficial for team environments. The certifications in Generative AI and Data Visualization indicate a proactive approach to learning and staying current with industry trends, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and structured reporting skills through their tutoring experience. Leadership and organizational skills are also evident from their role as a Class Representative. These soft skills are valuable for a senior Data Science role, particularly in communicating complex findings and collaborating within a team. The project descriptions indicate an ability to translate business problems into data solutions and present findings clearly.