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Data Analyst with 3+ years in Supply Chain & Data Analysis
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Business Analytics professional combining a Supply Chain Management background with advanced analytics experience at global organizations such as Liberty Energy and Amazon. Skilled in Python, SQL, Excel, and Power BI, with a strong foundation in ERP data management, KPI reporting, inventory analysis, and supply chain planning. Leverages advanced analytics to collect, analyze, and translate complex operational data into actionable insights that drive process efficiency and support leadership decision-making.
University of Colorado, Boulder - Leeds School of Business
Master of Science · Business Analytics
August 1, 2025 – June 30, 2026
University of Hull - Hull University Business School
Bachelor of Arts · Business Management with Supply Chain Management
August 1, 2019 – June 30, 2022
Liberty Energy Inc.
Data Analyst (Practicum)
March 1, 2026 – May 1, 2026
Boulder, Colorado, United States
Amazon.com, Inc.
Data Analyst (Practicum)
January 1, 2026 – March 1, 2026
Boulder, Colorado, United States
Vista Expedition Pvt Ltd.
Assistant Sales and Operations Manager
May 1, 2023 – May 1, 2025
Chennai, Tamil Nadu, India
Tradewell Cargo Pvt Ltd.
Supply Chain Planner
August 1, 2022 – April 1, 2023
Chennai, Tamil Nadu, India
AI Image Detection Model
January 1, 2026 – May 1, 2026
Developed a deep learning model for deepfake image detection, utilizing Google's Vision Transformer (ViT) for transfer learning; trained the model on 100,000 images, performed fine-tuning, achieved 89% validation accuracy, and deployed the model live via Hugging Face Spaces for public access.
Supply Chain Network Strategy
September 1, 2025 – December 1, 2025
Engineered a two-phase Integer Linear Programming model in Python using Gurobi and Pandas to optimize electric freight routing across a 10-city network. Analyzed complex constraints including EV range and labor wages to deliver actionable business insights, successfully identifying the optimal coast-to-coast route and proving higher-wage drivers maximized overall cost-efficiency.
E-Commerce Predictive Analytics
August 1, 2025 – December 1, 2025
Developed predictive classification models (Logistic Regression, Bagged Trees) in R to analyze 40,000+ Amazon listings and identify key drivers of "Best Seller" status. Cleansed and transformed skewed datasets to overcome severe class imbalances, successfully discovering that product sponsorships increase Best Seller probability by 4x to deliver actionable ROI strategies.
Merit-Based MS Business Analytics Scholarship
University of Colorado Boulder
January 1, 2025 – Present
First Class Honors (equivalent to 3.7 CGPA)
The University of Hull, UK
January 1, 2022 – Present
Data Analytics Certification
January 1, 2022 – Present
Leverage Data Science for a More Agile Supply Chain Certification
University of California, Irvine
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's academic projects and practical experience align well with a data-driven culture that values analytical rigor and business impact. Their diverse project portfolio, ranging from AI image detection to supply chain optimization and e-commerce analytics, indicates adaptability and a broad interest in applying data science across different domains. The internships at large organizations like Amazon and Liberty Energy suggest an ability to integrate into structured corporate environments.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work (e.g., identifying data anomalies, optimizing routes, forecasting financial viability). Their experience in presenting findings to advisory boards and collaborating with senior analysts suggests good communication and teamwork abilities. The focus on delivering actionable insights and improving operational efficiency indicates a results-oriented and proactive work attitude.