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Data Analyst with 1+ years in Supply Chain Analytics & Forecasting
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Assessing your cultural and operational fit
A driven professional with 1.6 years of experience in retail process operations and manufacturing, specializing in data analytics, inventory management, and demand forecasting. Proficient in SQL, Python, Advanced Excel, and Power BI, with a proven track record of optimizing supply chain operations, improving efficiency by 25%, and achieving 92% forecasting accuracy.
East West college of Engineering
Bachelor of Engineering · Aeronautical Engineering
August 1, 2016 – April 1, 2021
AMAZON
Associate - Retail Process Operations
June 1, 2023 – November 1, 2024
Bengaluru, Karnataka, India
CIM TOOLS PVT LTD
Intern - Manufacturing Operations
June 1, 2020 – July 1, 2020
Bengaluru, Karnataka, India
Demand Forecasting & Inventory Optimization Model
February 1, 2025 – Present
Developed forecasting models (Moving Average, Exponential Smoothing) achieving 92% accuracy on retail sales data. Analyzed seasonal patterns and demand trends for inventory planning. Created automated dashboards comparing multiple forecasting methods.
Google Data Analytics Professional Certificate
Coursera
June 1, 2026 – Present
Basic to Advanced Power BI
Skill Nation
June 1, 2026 – Present
Basic to Advanced SQL
Skill Nation
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's background in Aeronautical Engineering combined with a pivot to Data Analytics through certifications and practical experience demonstrates adaptability and a strong drive for continuous learning. The project work and Amazon experience show a focus on data-driven decision-making and process improvement, which aligns well with a data-centric organizational culture. The diversity of experience, from manufacturing operations to retail process optimization, suggests a broad perspective on business challenges.
Soft Skills & Operational Fit
The candidate's experience at Amazon highlights strong operational efficiency focus, problem-solving (identifying process gaps), and collaboration skills. The role involved managing complex logistics and implementing improvements, suggesting a proactive and results-oriented approach. Leading knowledge sharing initiatives indicates a willingness to contribute to team development.