Sai Nihith Immaneni

About Sai Nihith Immaneni

I am a Master’s graduate in Data Science from Texas A&M University with over 4 years of experience in Data Analytics, Machine Learning, and Business Intelligence across supply chain, manufacturing, automotive and research domains.My journey includes:1) Schneider Electric - Built forecasting and BI solutions that enhanced workforce productivity, optimized inventory planning, and streamlined ETL pipelines for supply chain operations.2) Bosch Global Software Technologies - Developed ML pipelines for predictive maintenance and EV battery health monitoring, while also engineering automotive software solutions in areas such as selective wake-up, load management, and diagnostics, strengthening performance and reliability for next-generation vehicles.3) Texas A&M University - Contributed to research in student success analytics and agentic AI, applying statistical methods, NLP, and LLM-based knowledge graphs for policy and innovation, while also working on student metrics, budget planning, and resource allocation to drive data-informed decisions.I specialize in Time Series Forecasting, Predictive Modeling, Statistical Analytics, ETL Development, and Generative AI, leveraging tools like Python, SQL, Tableau, Power BI, PySpark, Databricks, AWS, and Azure.I enjoy bridging the gap between complex data science solutions and actionable business insights, having collaborated with professors, managers, and cross-functional teams in both academic and industry settings.I am passionate about Data and AI and I’m actively seeking full-time opportunities in Data Analytics, Business Intelligence, and Data Science where I can apply my skills to solve real-world challenges and deliver measurable impact.

Experience

1. Data Analytics Intern

   Schneider Electric

   Feb 2025 — Present · Athens, TX, US

Education

• Texas A&M University

  Master of Science - MS, Data science

• Amrita Vishwa Vidyapeetham

  Bachelor of Technology - BTech, Electronics and Instrumentation

  2017 — 2021