Machine Learning Business Intelligence

Jahnavi Jammula

732-***-**** **********@*****.*** LinkedIn

EDUCATION

Saint Peter’s University May 2025

Master of Science, Data Science - GPA: 3.9/4.0

• Coursework: Machine Learning, Business Intelligence, Data Visualization, Applied Statistical Methods, Data Management SKILLS

• Programming Languages: Python, R

• Python Libraries/Machine Learning: OpenCV, Pandas, NumPy, Sci-Kit Learn, Matplotlib

• Database Technologies: SQL, NoSQL, MongoDB, Oracle, Snowflake, PostgreSQL, Azure Databricks

• Visualization tools: Tableau, Looker, Qlik, Power BI, Excel, D3.JS

• Cloud/ Big Data Technologies: AWS, Hadoop (HDFS and Spark), MapReduce, Scala, Azure, data analytics

• Tools & Platforms: Salesforce (familiar), LMS Dashboards (simulated), AppSmith, Looker

• Analysis: Correlation analysis, ad hoc reporting, program performance evaluation

• Other: GitHub, Advanced Microsoft Excel skills, VSCode, Salesforce WORK EXPERIENCE

Object Technology Solutions India Pvt. Ltd. Jul 2020 – Jul 2023 Software Engineer (Data & Analytics) Hyderabad, India AI-Powered Public Grievance Redressal System. Aug 2022 - Jul 2023

• Built transformer-based models for grievance classification and timeline prediction, enhancing service delivery efficiency by 12%.

• Automated data pipelines using Apache Airflow and deployed serverless workflows with AWS Lambda and Amazon S3 for scalable, reliable processing.

• Delivered real-time dashboards via Amazon QuickSight and AppSmith; supported full-stack deployment with Flask, React.js, and PostgreSQL.

• Collaborated with cross-functional teams in a fast-paced, agile environment to deliver data-driven features under tight timelines Multilingual Chatbot Aug 2021 - Jul 2022

• Created ETL pipelines with Azure Databricks and enhanced document processing using OCR and OpenCV.

• Developed a multilingual AI chatbot with Bharta4AI STT, integrated into Microsoft Teams for text and voice interaction.

• Created dynamic dashboards with Databricks and Redash; automated workflows using Azure Functions and Logic Apps. MOA’s – Unified Portal for Agricultural Statistics Jul 2020 - Jun 2021

• Developed centralized data analytics dashboards integrating national-level agricultural data to deliver real-time insights.

• Built scalable ETL pipelines and APIs using Apache Airflow for automated, multi-source data consolidation.

• Designed interactive dashboards with Plotly Dash and Power BI to support stakeholder decision-making. PROJECTS

Hospital Recommendation System Nov 2024

• Developed a ReactJS-based hospital recommendation web app with integrated location services and map APIs to help users find nearby hospitals based on ratings and available services.

• Clean Implemented machine learning models using Python (Pandas, NumPy, scikit-learn) to enhance hospital care suggestions, achieving a 15% improvement in recommendation accuracy.

• Integrated Vertex AI’s Prompt Design and LLMs to support natural-language queries (e.g., “Which hospital has emergency services?”) and added a basic AI chatbot for user interaction. Inventory Management System Feb 2024

• Created a full-stack inventory management application using Flask (backend) and ReactJS (frontend) to monitor, forecast, and report inventory trends using Tableau and Power BI

• Integrated machine learning models using Python and scikit-learn for demand forecasting and inventory optimization.

• Built real-time dashboards in Tableau to display key metrics including inventory turnover, stock levels, and restocking alerts. Chewy May 2025

• Optimized inventory management and demand forecasting to ensure accurate stock levels, reduce shortages, and improve order fulfillment timelines.

• Collaborated cross-functionally with operations, logistics, and finance teams to streamline order management, credit processes, and product assembly workflows.

• Led and supported continuous improvement initiatives, enhancing supply chain efficiency and contributing to special projects that boosted overall operational performance.

CERTIFICATIONS

• Microsoft Certified: Azure AI Fundamentals (July 2025)

• AWS Certified: AWS Cloud Practitioner (August 2025)

• Responsible AI: Google Cloud Skill Badge (Oct 2024)

• Prompt Design in Vertex AI: Machine Learning & AI (Oct 2024)

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