Python / SQL – CrateDB Intern with less than a year in Data Analysis & Forecasting
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Sayan Paul is a driven Analytics Intern with 4 months of experience in developing advanced time-series forecasting models using Python, SQL, and Excel. Proven ability to optimize business processes, reduce costs, and improve revenue through data-driven insights. Currently pursuing a B.Tech in Metallurgy And Materials Engineering and actively involved in leadership roles and extracurricular activities, demonstrating strong teamwork and competitive excellence.
Indian Institute Of Engineering Science And Technology, Shibpur
B.Tech · Metallurgy And Materials Engineering
September 1, 2023 – October 1, 2027
Indian Institute of Foreign Trade (IIFT)
Analytics Intern
April 1, 2025 – August 1, 2025
Kolkata, West Bengal, India
Glowr E-Store Business Intelligence & Revenue Optimization
June 17, 2026 – Present
Analyzed 2020-2023 sales data to track 15% profit margins, 20% growth, and $400K+ sales/market; uncovered high-margin products (Body Care: 50.18%) and weak categories (Hair Care: 0.33%). Built dashboards enabling 50% total sales increase and 17.85% corporate growth; identified top-performing regions (Europe: 31.3%) to drive strategic market expansion.
View ProjectData-Driven Inventory Optimization System for Urban Retail Co
June 17, 2026 – Present
Implemented dynamic reordering and demand forecasting, reducing stockouts by 40% and preventing $150K+ in lost sales while improving inventory turnover by 1.5x. Optimized inventory allocation through data-driven analysis, cutting excess stock by 28% and freeing $200K in working capital without compromising 95% service levels.
View ProjectPerformance Optimization for Olist E-Commerce Platform
June 17, 2026 – Present
Analyzed 10M+ sales records to boost revenue by 22%, increased Health & Beauty sales by 14%, and identified high-margin categories (97%+ profit), while reducing losses in underperforming segments. Cut shipping costs by 20%, improved delivery times by 15%, and enhanced repeat purchase rates by 25%, driving 40% of total sales while achieving 95% on-time delivery.
View ProjectCultural Fit Analysis
The candidate's diverse project portfolio, ranging from e-commerce optimization to business intelligence and inventory management, demonstrates adaptability and a broad interest in data applications. Participation in sports and leadership roles indicates a proactive and collaborative mindset. The target role as an intern aligns well with the candidate's current education level and internship experience, suggesting a good fit for a learning-oriented and growth-focused environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-oriented approach, focusing on quantifiable outcomes (e.g., 22% revenue boost, 40% stockout reduction). The internship experience at IIFT suggests an ability to work on complex analytical tasks independently. Extracurricular activities highlight leadership, teamwork, and organizational skills, which are beneficial for operational fit.