
Teja Sanagala
@tejasanagala
I build predictive analytics, machine learning pipelines, and dashboards that improve operational decisions.
What I'm looking for
I've built predictive analytics and data engineering solutions across healthcare inventory, IT service operations, e-commerce logistics, wildfire prediction, and traffic analysis. At 360 DigiTMG, I improved medical inventory forecasting accuracy by 14% and helped reduce inventory wastage by 11%.
In a University of Delaware and Diamond Technologies collaboration, I developed an AI-powered IT ticket assignment platform using NLP, BM25, Sentence Transformers, Python, PostgreSQL, and Streamlit. I also build interactive dashboards and machine learning systems using Python, SQL, Power BI, Scikit-learn, PyTorch, and cloud-ready tools.
Experience
Work history, roles, and key accomplishments
Student AI Research Intern
Diamond Technologies
Jan 2026 - May 2026 (4 months)
Developed an AI-powered IT ticket assignment platform using NLP and machine learning, and built scalable pipelines and dashboards for business intelligence.
Data Analyst Intern
360 DigiTMG
Mar 2024 - Jun 2024 (3 months)
Built predictive analytics pipelines for medical inventory optimization, improving forecasting accuracy and reducing wastage. Performed data preprocessing and created dashboards for stakeholders.
Education
Degrees, certifications, and relevant coursework
University of Delaware
Master of Science, Data Science
Master's degree in Data Science from the University of Delaware, expected to complete in May 2026.
Vasireddy Venkatadri International Technological University
Bachelor of Science, Computer Science
Bachelor's degree in Computer Science from Vasireddy Venkatadri International Technological University, completed in August 2024.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
tejasanagala.github.io/tejasanagalaJob categories
Skills
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