Data-Driven Analytics & E-commerce Strategy Leader

Tarun Reddy Kethireddy

908-***-**** **********************@*****.*** linkedin/in/Tarun github.com/Tarun Education

Stevens Institute of Technology Hoboken, NJ

MBA Analytics Sep 2022 – Dec 2023

Gokaraju Rangaraju Institute of Engineering and technology Hyderabad, India Bachelors of Technology, Computer Science and Engineering July 2016 – Aug 2020 Experience

Business Analyst Feb 2024 – Present

Buy Rite Jersey City, NJ

• Led Google Analytics driven optimization of the e-commerce channel, partnering with marketing to define KPIs and launch data-driven campaigns that increased, online sales by $500K+ annually

• Improved delivery operations by integrating Uber Eats, Door Dash, Flaviar, and 1800 Spirits. Achieved 20% faster fulfillment and boosted revenue by 30% through enhanced platform integration

• Developed Power BI dashboards and a custom app for sales analytics by analyzing stakeholder needs and performing competitor pricing analysis, enabling 35% increase in conversion rates through targeted campaigns

• Facilitated email marketing and in-store events by gathering requirements from sales teams and implementing A/B testing frameworks, boosting email open rates by 30% and click-through rates by 40%

• Led predictive forecasting system using TensorFlow and XGBoost by eliciting seasonal factors from operations stakeholders, generating $200K additional quarterly revenue through optimized promotions

• Managed e-commerce sales department overseeing $3M in annual revenue by implementing strategic sales initiatives, optimizing team workflows, and leveraging data-driven insights Business Analyst Sep 2020 – Aug 2022

Aurobindo Pharma Hyderabad, India

• Collaborated with production planning and inventory control team to elicit requirements for sales and production analytics using SQL, Excel, and Python, achieving $1.2M annual cost reduction by identifying inefficiencies across distribution centers

• Streamlined Oracle ERP automation for 16 production units by modeling processes with cross-functional engineering teams and implementing cloud-based ETL pipelines, decreasing processing time by 40%

• Designed real-time Tableau dashboards by gathering data requirements from logistics stakeholders and connecting disparate ERP sources, reducing manual reporting by 30% and enhancing executive decision-making by 20%

• Analyzed inventory needs by statistical modeling by collaborating with supply chain teams, predicting requirements with 90% precision and reducing stock shortages by 35%

• Managed production planning for Unit 14 specializing in high-value products using SQL and Excel, optimizing inventory levels and resource allocation to achieve 100% on-time delivery Projects

Campaign Planning Agent – Aitomic.ai (Client Project) Python, Streamlit, OpenAI Jan 2026 – Present

• Built a real-world AI campaign planning tool for Aitomic.ai that ingests product catalogs and historical campaign sales, uses TF-IDF–based search to select on-theme products, and applies Python + scikit-learn forecasting to predict seasonal revenue and orders, all exposed via a Streamlit web app. Income Prediction with Fairness-Aware Machine Learning Python, StreamLit, Flask June 2025 – July 2025

• Integrated demographic parity metrics into ML pipeline by eliciting ethical requirements, achieving 85% accuracy and 78% gender bias reduction using Adult Income Dataset; built interactive web app for model comparison Technical Skills

Languages:Python, SQL (Postgres), JavaScript, HTML/CSS Frameworks:TensorFlow, Scikit-learn, PySpark

Developer Tools: Git, Docker, Streamlit, Google Cloud Platform, VS Code, Visual Studio, PyCharm, Jupyter Notebooks, N8N

Libraries: pandas, NumPy, Matplotlib, Seaborn, XGBoost, TensorFlow

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