Charankumarreddy Bukkana
Data Scientist | Machine Learning Engineer | Real-Time ML Systems | AWS | Azure | MLOps
- Role
- Data Analyst at PNC
- Location
- Enfield, CT, US
- LinkedIn followers
- 500 followers
About Charankumarreddy Bukkana
Rivier University graduate student in Computer Software Engineering with hands-on experience as a Data Analyst. specializing in data wrangling, transformation, and exploratory analysis. Successfully contributed to optimizing data workflows by automating reporting tasks, reducing manual effort, and improving pipeline efficiency. Developed dashboards and KPIs in Power BI to monitor key metrics, enabling data-driven decision-making for occupancy and revenue trends. Certified in Google Data Analytics and skilled in SQL, Python, and visualization tools, aiming to leverage data expertise in solving complex business challenges.
Experience
Data Analyst
Apr 2025 — Present · US
Developed real-time fraud detection models using Isolation Forest and SVM in Python (scikit-learn) on 5M daily transactions achieving 92% precision, deployed via Flask API on Kubernetes with Redis caching preventing $350K quarterly losses.• Built credit scoring pipeline engineering 45 risk features from PostgreSQL data, trained LightGBM classifier improving approval accuracy by 18%, deployed RESTful API on Azure ML enabling real-time underwriting for 10K monthly applications.• Developed RAG-powered compliance assistant using LangChain with GPT-4 and Pinecone vector database, built FastAPI service on Azure, automated 40% of regulatory query workload reducing analyst response time by 65%.• Engineered customer segmentation pipeline processing 2M transactions via PySpark Streaming on Azure Databricks, used K-Means with 25 RFM features, exposed REST APIs enabling marketing campaigns achieving 28% conversion lift and $2.3M revenue.• Established MLOps infrastructure containerizing 6 production models with Docker and Kubernetes, implemented CI/CD via Jenkins, built monitoring dashboards with Prometheus and Grafana tracking model drift and latency reducing deployment time.
Education
Vasireddy Venkatadri International Technological University
Bachelor of Technology - BTech, Electrical and Electronics Engineering
Rivier University
Master's degree, Computer Information Systems
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