Information Technology Project Management

Vinay Polisetty

McKinney, TX(Open to Relocation) 214-***-**** U.S Citizen *****************@*****.*** linkedin.com/in/vinay-polisetty

EXPERIENCE

FERROGLOBE INC. - Data & ML Engineer February 2025 - Present

Engineered and deployed a production-grade ETL pipeline using Python on a Linux server, automated via cron to run every 5 minutes, enabling near real-time data processing and significantly reducing manual reporting delays.

Built and trained an LSTM model to forecast furnace power output and silicon yield, which improved production planning and contributed to a measurable reduction in downtime and material waste.

Deployed a user-facing Streamlit app on Azure, empowering business users with instant access to predictive insights, enhancing operational visibility and data-driven decision-making.

Collaborated cross-functionally to align machine learning solutions with business needs and operational constraints.

QUALITEST GROUP – Software Developer May 2023-December 2024

Built a technical defect analysis chatbot using RAG, integrating ChromaDB for vector storage and Ollama as the LLM, enhancing support response efficiency.

Developed a site navigation assistant chatbot using FastAPI and React, enabling intuitive user interactions through natural language understanding.

Designed RESTful APIs and ensured seamless frontend-backend integration for a smooth user experience.

PROJECTS

Parent Portal Website– Academic Project January 2025 – May 2025

I collaborated with a team to develop a parent portal web application aimed at enhancing school-parent communication.

Built the frontend using React, enabling an intuitive interface for viewing grades, attendance, and announcements.

Implemented backend logic in JavaScript and integrated with a MongoDB database for secure and efficient data storage.

Predictive Analysis Model for Conagra Foods – Academic Project August 2024 – December 2024

Performed EDA and data cleaning using Python to uncover insights from sales data and prepare it for modeling.

Conducted statistical tests to evaluate the relationship between All Commodity Volume (ACV) and Dollar Sales.

Built a Linear Regression model with an R of 0.7, demonstrating how increased ACV could lead to higher sales.

TECHNICAL SKILLS

Generative AI: Langchain, Ollama, RAG, OpenAI

Programming Languages: Python, JavaScript, HTML, Angular, ReactJS

Statistical Skills: Python, R/Rstudio, SAS

Data Analytical/Engineering : SQL, NoSQL, Advanced Excel, PowerBI, Databricks, Tableau, Pyspark, Hadoop,

Cloud: GCP, Azure, DBT Cloud, AWS Cloud Architect

EDUCATION

The University of Texas at Dallas Jan 2024 – May 2025

Master of Science: Information Technology Management

The University of Texas at Dallas May 2019 – May 2023

Bachelor of Science: Mechanical Engineering

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