Sriniketh Balmuri
East Newark,USA
Summary
Dynamic data engineering professional with experience at Delta Dental of Missouri, where I designed Azure Data Factory pipelines that enhanced invoice reconciliation accuracy. Proficient in Python and SQL, I thrive in collaborative environments, leveraging my problem-solving skills to optimize processes and drive efficiency improvements.
Overview
1
1
year of professional experience
Work History
Data Engineering Intern
Delta Dental of Missouri
06.2024 - 08.2024
- Designed Azure Data Factory pipelines to automate invoice and payment reconciliation, improving accuracy.
- Optimized SQL queries, reducing reconciliation turnaround time by ~30%.
- Integrated SkyGen database into Azure environment.
Junior Software Engineer
PALS Global Solutions
02.2023 - 11.2023
- Developed Python and SQL components to improve system efficiency.
- Debugged and resolved application issues in Agile environments.
Education
MS - Information Systems
New Jersey Institute of Technology
Newark, NJ12.2025
BE - Information Technology
MVSR Engineering College
Hyderabad, TG06.2023
Skills
- Programming languages: Python, SQL, C/C, R
- Data engineering and cloud services: Azure Data Factory, AWS (EC2, S3, RDS), ETL, automation
- Machine learning frameworks: TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy
- Generative AI techniques: Prompt engineering, LLM experimentation, OpenAI and ChatGPT APIs, RAG concepts
- Data visualization tools: Tableau, Power BI, Matplotlib, Plotly
- Development tools: GitHub, Docker, Agile/Scrum
Projects
Generative AI Resume & Document Analyzer - Built LLM-based system to summarize documents and extract skills., Smart Parking System: License plate recognition using TensorFlow and OpenCV., MNIST Deep Learning Models: Implemented CNN and LeNet-5 achieving ~99% accuracy.
Smart Parking System (TensorFlow, OpenCV , Python) - Built a license plate recognition system for real-time
parking management, reducing wait times by 20%.,
Mobile-Based Dwell Time Management System (IoT, Python, SQL) - Developed for Airport Authorities,
improving passenger flow and security monitoring. Finalist in Smart India Hackathon
COVID-19 Hospital Capacity Visualization (Python, Plotly, Pandas) - Created interactive dashboards
analyzing ICU and ventilator trends across U.S. states.
MNIST Deep Learning Models (PyTorch) - Implemented MLP, CNN, and LeNet-5 models, achieving 99%
accuracy on handwritten digit classification.
Timeline
Data Engineering Intern
Delta Dental of Missouri
06.2024 - 08.2024
Junior Software Engineer
PALS Global Solutions
02.2023 - 11.2023
MS - Information Systems
New Jersey Institute of Technology
BE - Information Technology
MVSR Engineering College