Developed and automated ETL pipelines using Python and SQL to consolidate sales, inventory, and supply chain data from multiple retail locations.
Built Power BI dashboards to monitor inventory turnover, stockouts, and sales team KPIs, enabling real-time operational decisions.
Analyzed supply chain data to optimize handset and accessory replenishment cycles, reducing inventory holding costs and improving in-stock rates.
Conducted root-cause analyses on high return-rate products, leading to a 12% decrease in post-sale logistics issues.
Designed forecasting models (Excel, Python) to predict regional handset demand and optimize inventory distribution.
Automated standardized reporting processes for sales, inventory, and logistics metrics, achieving 99.8% data accuracy across systems.
Researcher
ReSense Lab, Pennsylvania State University
02.2024 - 07.2024
Researching collision prediction technologies with a focus on V2N systems to prevent vehicle collisions.
Developing algorithms to enhance prediction model accuracy.
Web Developer
Saint Louis University, Saint Louis
11.2023 - 01.2024
Developed an e-commerce application with React, Node.js, MongoDB, with automated email notifications via SendGrid and admin dashboard for product/order management using Angular, ensuring efficient CRUD operations and real-time updates.
Transportation Specialist (ROC Analyst)
Amazon, Hyderabad
08.2021 - 02.2022
Developed fraud detection dashboards using Amazon QuickSight, enhancing the identification of fraudulent activities among third-party drivers and carriers.
Implemented data analytics techniques that led to the detection of frauds, contributing to annual savings of over $100,000 for Amazon.
Research Assistant
Khalifa University, Abu Dhabi
01.2021 - 07.2021
Led the data-driven analysis and visualization side of a pioneering research project investigating the kinetics of ferrofluids under magnetic fields in varied thermal conditions, targeting applications in aerospace technologies.
Designed and executed data visualization dashboards employing Python libraries (e.g., Matplotlib, Seaborn, SciPy and Plotly) facilitating analysis and decision-making.
Project: Obtaining Experimental Data & Visualizing it using Python
Systems Engineer
Infosys, Bengaluru
03.2019 - 01.2020
Worked across the full lifecycle development of ABAP applications, from requirements gathering and analysis to design, development, testing, deployment, and maintenance, ensuring alignment with business objectives and seamless integration with existing SAP modules.
Sales and Operations Team
Dukes India, Hyderabad
07.2017 - 08.2018
Collaborated with the Marketing and Sales team, leveraging MINTEL Analytics for market research on SKU, packaging units, and competitive pricing strategies for product launches in Algeria and Afghanistan, ensuring alignment with market demands and competitive landscapes.
Partnered with the Finance team to employ advanced data forecasting techniques, integrating Python and Excel for predictive analytics to inform and optimize business plans for strategic expansion into Algeria and Afghanistan, enhancing financial planning accuracy and investment efficiency.
Project: Data-Driven Expansion Strategy for Algeria and Afghanistan