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Sneha Priya Dintyala

@snehapriyadintyala

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Data Scientist with 3 years of experience in machine learning.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my skills in machine learning and AI to drive impactful projects.

I am a Data Scientist with over 8 years of industry experience, specializing in designing and deploying scalable Machine Learning, Deep Learning, and Generative AI solutions. My journey has taken me through various domains, including enterprise and banking, where I have honed my skills across the full ML lifecycle—from data collection to model deployment and monitoring.

Throughout my career, I have developed a strong foundation in both supervised and unsupervised learning. I have hands-on experience with a variety of algorithms, including linear regression, decision trees, and ensemble models. My expertise extends to deep learning architectures such as ANN, CNN, and LSTM, utilizing frameworks like TensorFlow and PyTorch. I am passionate about leveraging technology to create impactful solutions, as evidenced by my work on fraud detection systems and internal chatbots that enhance operational efficiency. Proficient in developing and deploying LLM-powered applications using OpenAI, Hugging Face Transformers, LangChain, and LlamaIndex, leveraging Retrieval-Augmented Generation (RAG), prompt engineering, and agentic workflows. Experienced in building vector-based retrieval systems using FAISS, Pinecone, and LlamaIndex to support scalable RAG, semantic search, and real-time LLM applications.

Experience

Work history, roles, and key accomplishments

Data Scientist

State Bank of India (SBI)

Mar 2021 - Sep 2023 (2 years 6 months)

Built end-to-end ML pipelines for fraud detection in personal loans using XGBoost and Random Forest. Designed a branch risk classification system using unsupervised clustering (K-Means) on transactional behavior and audit alerts. • Built and deployed an internal HR GenAI chatbot using OpenAI's GPT-3.5, LangChain, and LlamaIndex with a RAG architecture.

Python scikit learn Lang Chain AWS EC2 XGBoost Random Forest K Means AWS Sagemaker Flask AWS Lambda Cloudwatch LlamaIndex Faiss IAM

Associate Consultant – Data Analyst

Virtusa

Nov 2017 - Oct 2019 (1 year 11 months)

Developed modular Python pipelines to parse scanned trade documents using Tesseract OCR, PyPDF2, and pdf2image, extracting structured fields from noisy image/text inputs. Designed post-OCR processing workflows using pandas, regex, and custom parsers to clean, normalize, and transform raw text into schema-aligned tabular formats.

Tesseract Python SQL Pandas NumPy PyPDF2 Oracle Regex

Programmer Analyst

Cognizant

Sep 2014 - Nov 2017 (3 years 2 months)

Developed and maintained RESTful web services using Java and Spring MVC, improving backend response times by 25% and supporting 500K+ users. Refactored monolithic services into microservices architecture using Spring Boot. Optimized API response times by 25% through SQL query tuning, connection pooling, and asynchronous request handling.

Java 8 Spring MVC Spring Boot REST APIs SQL Pl SQL Maven Jenkins Git Swagger Junit Mockito Log4j JSON Postman Tomcat Splunk New Relic

Education

Degrees, certifications, and relevant coursework

The University of Texas at Arlington

Master of Science, Data Science

2024 - 2025

Grade: 4.0/4.0

Pursued a Master of Science in Data Science, focusing on advanced topics in machine learning, deep learning, and data analysis. Achieved a perfect GPA of 4.0/4.0, demonstrating strong academic performance and dedication to the field.

Jawaharlal Nehru Technological University

Bachelor of Technology, Information Technology

2010 - 2014

Grade: 3.6/4.0

Completed a Bachelor of Technology in Information Technology, gaining foundational knowledge in computer science and information systems. Maintained a strong academic record with a GPA of 3.6/4.0.