Data Analyst with Python Backend Engineer and ML Experience

ROOPSAI SARVEPALLI

+1-573-***-**** *******.***@*****.***

https://www.linkedin.com/in/s-roopsai-a0926724a/

Professional Summary

Software Engineer with hands-on experience in Python backend development, data engineering, and real-world project delivery gained through industry roles and my master’s program at Saint Louis University. I’ve built practical solutions ranging from automation tools to full API-driven systems, using FastAPI, Django, and microservices patterns to make my work scalable and easier to maintain. My projects blend engineering with analytics by integrating ML models into real-time workflows, exposing them through clean REST APIs, and deploying them with CI/CD pipelines using GitHub Actions. I enjoy simplifying complex data problems, improving day-to-day operations, and delivering systems that work reliably in real environments.

Key Skills:

Technical Support & Issue Resolution: Led support teams, optimized workflows, and managed incident response procedures.

GitHub Management: Implemented GitHub for issue tracking, knowledge base, and communication, improving team efficiency.

Programming & Development: Proficient in Python, SQL, Java, C/C++, Shell Scripting, and web technologies.

Cloud & Database Management: Experienced with AWS, MySQL, and SQL Server.

Project Management: Utilized project management tools to track progress and ensure timely completion of tasks.

Technical Skills:

Python IDEs: PyCharm, Spyder, Jupyter Notebook, Anaconda, Eclipse

API & Architecture: RESTful API Development, Microservices Architecture, Asynchronous API Design.

Web Technologies: HTML, JavaScript

Cloud Platform: Amazon Web Services (AWS), Azure fundamentals

DevOps & CI/CD: GitHub Actions, Containerization, Automated Testing & Deployment Pipelines.

Databases & Data visualization tools: MySQL, SQL Server, Power BI, MS Excel

Version Control Systems: GIT, GitHub

Machine Learning & AI: Predictive Modeling, RAG Agents, Generative AI, XGBoost, Random Forest, K-Means

EXPERIENCE

Schnucks’ Intelligent Dairy Inventory – Master’s Research Project (Jan 2025– May2025)

Built predictive models using Python (Random Forest, XGBoost, K-Means) to forecast 10-day dairy sales.

Designed an interactive Power BI dashboard with KPIs, trend charts, role-based access, and automated updates.

Implemented RAG-based AI assistants to query dairy sales history, promotions, and supplier data in natural language, enabling stakeholders to get instant insights and recommendations.

Created an AI agent that pushes daily/weekly insights, anomaly alerts, and supply chain optimization recommendations directly into dashboards and email reports.

Built REST APIs using FastAPI and Django to deliver forecasting outputs, anomaly alerts, and inventory insights to dashboards and internal systems.

Designed the solution using a microservices architecture, separating model inference, data ingestion, and alerting modules for scalable performance.

Implemented CI/CD pipelines (GitHub Actions) to automate testing, container builds, and deployment for all API and ML services.

Created a detailed Project Charter (scope, risks, timelines) and managed development using Agile methodology with sprints tracked on a Jira board.

Automated data pipelines for real-time accuracy and ensured measurable business impact by reducing spoilage, minimizing stockouts, and improving decision-making.

Data Analyst Associate – Virtual Internship (Excelerate) (Jan 2024 - Feb2024)

Analysed user data, conducted trend analysis, performed data preprocessing, and created dashboards to support data driven decisions using Power BI.

Collaborated with project heads and independently managed projects, showcasing strong time management, communication, and leadership skills.

Mediapole Technologies Pvt Ltd, CHENNAI (Nov 2022 - May 2023)

Led backend automation efforts by developing Python scripts that reduced manual work and improved daily team operations.

Designed and supported AWS-based workflows using EC2, S3, and Lambda to handle data processing and scheduled automation tasks.

Ensured smooth execution of automation jobs and improved system reliability across the project.

Ran jobs, checked logs, and resolved basic issues using Linux commands for troubleshooting and job monitoring.

Managed version control in GitHub with structured branching, pull requests, and clean commit practices.

Performed SQL queries for data validation, quality checks, and internal reporting needs.

Used PyCharm and Eclipse to debug code, refactor scripts, and enhance development workflow

American Software Resources / Shalom Solutions, HYDERABAD (Jan 2021 - Oct 2022)

Built and maintained internal tools using Python and SQL to support daily team operations and reduce manual work.

Developed scripts for data cleaning, validation checks, and automating repeated tasks to improve workflow efficiency.

Managed GitHub repositories through structured commits, branch handling, and issue tracking to maintain clean version control.

Executed scripts and monitored job activity using Linux commands, resolving basic errors and ensuring smooth task execution.

Participated in Agile processes, including sprint planning, stand-up meetings, and task tracking through Jira and Trello.

Education:

Master’s in computer and information sciences (2023-2025)

Saint Louis University

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