Uppala Venkata Satya Srinivas (Srinu Uppala), Data Scientist & AI/ML Engineer in Hyderabad
Open to all AI/ML & Data roles

U.V.S.SRINIVASUppala Venkata Satya Srinivas · Srinu Uppala

Data Scientist & AI/ML Engineer

Generative AI ·RAG ·Agentic AI ·Machine Learning

M.Tech CSE student at Anurag University and former Data Science Intern at RamanaSoft. I build end-to-end machine learning and Generative AI applications — from predictive models and BI dashboards to RAG pipelines and multi-agent LLM systems.

End-to-end AI/ML projects
5
Live demo apps
5
Industry internship
11 mo
Certifications
8

About Me

Data Scientist & AI/ML Engineer based in Hyderabad, India

I'm Uppala Venkata Satya Srinivas (Srinu), a Data Scientist and AI/ML engineer from Hyderabad. I'm pursuing an M.Tech in Computer Science and Engineering at Anurag University, after a B.Tech in CSE and an 11-month Data Science internship at RamanaSoft Consulting Services, where I cleaned and analysed real-world datasets, built XGBoost models, and shipped Streamlit apps and Power BI dashboards.

Most of my recent work is in Generative AI: MediRAG, a multi-agent RAG system built with LangGraph, Groq LLaMA models and ChromaDB that reads medical reports, and a multi-agent programming assistant whose Developer, QA and Reviewer agents write and review Python code. Every project on this page is deployed as a live app, from a churn model with 0.82 ROC-AUC to an LSTM stock-price forecaster.

At a Glance

Generative AI & LLM Apps

RAG pipelines, multi-agent systems and LLM-powered tools built with LangChain, Groq / LLaMA and vector databases.

Machine Learning

Predictive models with solid feature engineering, class-imbalance handling and rigorous evaluation.

Data Analytics & BI

EDA, SQL and Power BI / Tableau dashboards that turn raw data into business decisions.

Deployment

Turning models into live Streamlit and Flask apps and APIs — every project below has a live demo.

Open to work

Available now for roles such as:

  • Data Scientist
  • Machine Learning Engineer
  • AI Engineer
  • Generative AI / LLM Engineer
  • Data Analyst
  • Python Developer
Hire me

Professional Experience

Industry internship and virtual job simulations

Data Science Intern

Completed

RamanaSoft Consulting Services · Internship

Aug 2025 – Jul 2026 · 11 months Hyderabad, Telangana · On-site

Completed an 11-month industry internship in Data Science, gaining hands-on experience in data analysis, machine learning and real-world project development.

  • Performed data cleaning, preprocessing and exploratory data analysis (EDA) on real-world datasets to extract actionable insights
  • Built and evaluated ML models (XGBoost and other classifiers) using feature engineering, SMOTE for class imbalance and cross-validation
  • Deployed Streamlit applications for real-time predictions and created Power BI dashboards for business reporting
  • Collaborated with developers, testers and project managers to deliver data-driven solutions and automate analysis workflows
  • Appreciated by the software development team for willingness to learn, adaptability and ownership of assigned tasks
PythonSQLPandasScikit-learnXGBoostSMOTEStreamlitPower BI
Experience Letter Offer LetterCertification ID: RS25D0812

Forage

Virtual Job Simulations · 2 months

Remote

Data Analytics Virtual Intern (Job Simulation)

Deloitte Australia · Apr 2025 · 1 month

Completed a virtual job simulation with Deloitte Australia, gaining practical experience in data analytics and forensic technology within a consulting framework.

Data AnalysisDashboard BuildingForensic AnalysisTableauExcel
View Certificate

Data Visualization Virtual Experience

Tata Group · Mar 2025 · 1 month

Completed a virtual job simulation focused on data visualization and business analytics, creating interactive charts, dashboards and reports to support data-driven decision-making.

Data VisualizationPower BISQLDashboard Design
View Certificate

AI & Data Science Projects

Generative AI, machine learning and deep learning projects, each deployed as a live app

Multi-Agent Programming Assistant app built with PhiData and Groq: a box to describe a programming problem and a Generate Code button
Generative AI Featured

Multi-Agent Programming Assistant using Agentic AI

Developed a multi-agent AI system that simulates a real-world software development workflow using collaborative AI agents.

  • Designed Developer, QA, and Reviewer agents using Agentic AI architecture
  • Integrated PhiData and Groq (LLaMA 3) to generate, debug, and validate Python code
  • Implemented iterative collaboration between agents for automated code improvement
  • Built a Flask-based web application with an interactive UI
  • Added automated PDF documentation generation for produced code outputs
  • Simulated real-world development pipeline using multi-agent communication
PythonAgentic AIPhiDataGroqLLaMA 3FlaskMulti-Agent System
MediRAG medical report analyzer app: upload a PDF or image report, or retrieve a past report by its Report ID
Generative AI Featured

MediRAG – Multi-Agent AI Medical Report Analyzer

Built an AI-powered medical report analysis system using Retrieval-Augmented Generation (RAG), multi-agent workflows, and LLM reasoning.

  • Implemented Retrieval-Augmented Generation (RAG) pipeline for medical document analysis
  • Developed multi-agent workflow to process and analyze medical reports step-by-step
  • Built document parsing and OCR pipeline for PDF and scanned medical reports
  • Integrated Groq LLaMA models for medical reasoning and simplified health explanations
  • Created vector database using ChromaDB for semantic search and report retrieval
  • Implemented unique Report ID system for efficient medical record tracking
PythonRAGLangGraphLLMChromaDBGroqMulti-Agent AIOCRStreamlit
Telco customer churn prediction app with an interactive form for a single customer's tenure, charges and services
Machine Learning

Telco Customer Churn Prediction

Built a complete ML pipeline using Python, XGBoost, Streamlit, and Power BI.

  • Data cleaning and preprocessing
  • Exploratory Data Analysis
  • Handling class imbalance using SMOTE
  • Achieved 0.82 ROC-AUC score
  • Built Streamlit web app for predictions
  • Created Power BI dashboard to visualize churn drivers
PythonXGBoostStreamlitPower BISMOTE
Movie recommendation app showing Toy Story (1995) and the recommended movies with their posters
Machine Learning

Movie Recommendation System

Developed a content-based recommendation system using TF-IDF and cosine similarity.

  • User rating and genre pattern analysis
  • Built recommendation engine
  • Integrated TMDB API
  • Deployed Streamlit web application
PythonTF-IDFCosine SimilarityTMDB APIStreamlit
Tesla stock price prediction app showing the TSLA dataset and a one-day LSTM price forecast
Deep Learning

Tesla Stock Price Prediction using LSTM

Built deep learning model for time-series forecasting using LSTM.

  • Data preprocessing and scaling
  • Created 60-day sequence windows
  • Predicted stock prices for 1, 5, and 10 days
  • Evaluated using Mean Squared Error
  • Built Streamlit application with CSV upload
PythonLSTMDeep LearningStreamlitTime Series

Live demos run on Streamlit Community Cloud's free tier. If one shows a sleep screen, click “Yes, get this app back up!” and it loads in about 30 seconds.

Technical Skills

Generative AI, machine learning, data analytics and deployment tools I work with

Generative AI & LLMs

LLM ApplicationsRetrieval Augmented Generation (RAG)Agentic AIMulti-Agent SystemsPrompt EngineeringEmbeddingsVector Databases (ChromaDB)LangChainLangGraphHuggingFace TransformersGroq / LLaMA 3PhiData

Machine Learning

Scikit-learnXGBoostRegressionClassificationClusteringFeature EngineeringModel EvaluationHyperparameter TuningSMOTEDimensionality Reduction (PCA)

Deep Learning, NLP & CV

PyTorchNeural NetworksCNNRNN / LSTMTransformersNLPComputer VisionOpenCVOCRTime-Series Forecasting

Data Analysis & BI

PythonPandasNumPyExploratory Data Analysis (EDA)Data CleaningData VisualizationPower BITableauMicrosoft ExcelMatplotlibSeabornDashboard Design

MLOps & Deployment

StreamlitFlask APIsFastAPIDockerMLflowModel Deployment

Databases & Tools

SQL (MySQL)SQL JoinsWindow FunctionsQuery OptimizationGitGitHubJupyter NotebookVS CodeKaggle

Soft Skills

Problem SolvingCommunicationTeam CollaborationCritical ThinkingTime ManagementAdaptabilityAttention to Detail

Education

M.Tech in Computer Science and Engineering

Pursuing

Anurag University, Hyderabad

Aug 2026 – Present

B.Tech in Computer Science and Engineering

Mother Theresa College of Engineering & Technology

2021 – 2025

Intermediate (MPC)

Sri Gayatri Junior College

2019 – 2021

SSC

T.M.Z.P High School

2018 – 2019

Certifications

Verified credentials in data science, AI and analytics

Certified Data Science with AI

Quality Thought Infosystems

Feb – Sep 2025

Credential ID: QID/24-25/7753

Data ScienceGen AIAgentic AI
View Credential

AWS Educate Introduction to Generative AI

Amazon Web Services (AWS)

Apr 2025 View Credential

Programming for Data Science

University of Leeds

Apr 2025

Credential ID: D5WR6KUM6HIS

View Credential

Certificate of Completion | 30 Days DSA Bootcamp

Unstop

Apr 2025

Credential ID: cc493590-9f9b-4b74-a9b2-1285df032e62

Python (Programming Language)Problem Solving
View Credential

Deloitte Australia - Data Analytics Job Simulation

Forage

Apr 2025

Credential ID: m2NZuN7Xx6R6oqGbm

Microsoft ExcelData ModelingTableauData Analysis
View Credential

TCS iON Career Edge - Young Professional

TCS iON

Apr 2025

Credential ID: 240640-28063282-1016

AccountingCommunicationSoft Skills
View Credential

Tata Group - Data Visualisation: Empowering Business with Effective Insights Job Simulation

Forage

Mar 2025

Credential ID: MAL8HcDkdwMmi9Teo

SQLData VisualizationPower BIDashboard Design
View Credential

Generative AI for Data Science

Microsoft

Mar 2025

Credential ID: VQH70BGRAS3Q

Generative AIAI Model Fine-TuningJupyter Notebooks
View Credential

My Journey

From Class 10 to building Generative AI systems, the milestones that shaped me

Chapter 1Foundations2018 – 2021
2018 – 2019

Class 10 (SSC)

T.M.Z.P High School

Completed secondary school, building a strong base in mathematics and science.

2019 – 2021

Intermediate (MPC)

Sri Gayatri Junior College

Studied Mathematics, Physics and Chemistry, sharpening the analytical and problem-solving skills I use every day.

Chapter 2Engineering & First Steps in Data Science2021 – 2025
2021

Started B.Tech in Computer Science and Engineering

Mother Theresa College of Engineering & Technology

Built my core in programming, data structures, databases and computer science fundamentals.

Feb 2025

Joined the Data Science with AI program

Quality Thought Infosystems

Started a 7-month program in data science, machine learning, Generative AI and Agentic AI.

Data ScienceMachine LearningGen AIAgentic AI
Mar 2025

First industry job simulation

Tata Group (Forage) · Microsoft (Coursera)

Completed Tata Group's Data Visualisation job simulation and Microsoft's Generative AI for Data Science course.

Power BIData VisualizationGenerative AI
Apr 2025

5 certifications in one month

Deloitte · AWS · University of Leeds · Unstop · TCS iON

Completed Deloitte Australia's data analytics job simulation and earned credentials in Generative AI (AWS), Programming for Data Science (University of Leeds), a 30-day DSA bootcamp (Unstop) and TCS iON Career Edge.

TableauExcelGenerative AIDSA
2025

Graduated with a B.Tech in CSE

Mother Theresa College of Engineering & Technology

Completed my engineering degree alongside data science training and industry simulations.

Chapter 3Industry Internship & AI ProjectsAug 2025 – Jul 2026
Aug 2025

Joined RamanaSoft as a Data Science Intern

RamanaSoft Consulting Services, Hyderabad

Started an on-site internship working on real-world datasets, ML models, Streamlit apps and Power BI dashboards.

PythonSQLXGBoostPower BI
Offer Letter
Sep 2025

Earned the Certified Data Science with AI credential

Quality Thought Infosystems

Completed the 7-month program (Certification ID QID/24-25/7753).

View Certificate
Nov 2025

Shipped my first end-to-end ML apps

Telco Customer Churn Prediction (XGBoost + SMOTE, 0.82 ROC-AUC) with a Streamlit app and Power BI dashboard, plus a content-based Movie Recommendation System using TF-IDF and the TMDB API.

XGBoostSMOTEStreamlitTF-IDF
View projects
Jan 2026

Stepped into Agentic AI

Built a Multi-Agent Programming Assistant where Developer, QA and Reviewer agents (PhiData + Groq LLaMA 3) write, debug and review Python code together.

Agentic AIPhiDataGroqLLaMA 3
GitHub
Mar 2026

Built MediRAG and an LSTM forecaster

Created MediRAG, a multi-agent RAG system that analyses medical reports using OCR, ChromaDB and LLaMA models, and an LSTM model forecasting Tesla stock prices 1, 5 and 10 days ahead.

RAGChromaDBOCRLSTM
GitHub
Jul 2026

Completed the RamanaSoft internship

RamanaSoft Consulting Services, Hyderabad

Wrapped up 11 months of industry experience, appreciated by the software development team for adaptability and ownership.

Experience Letter
Chapter 4Master's & What's NextAug 2026 – Present
Aug 2026

Started M.Tech in Computer Science and Engineering

Anurag University, Hyderabad

Joined the postgraduate program on 22 August 2026 to go deeper into AI and computer science.

Now

Learning, building and ready for the next challenge

Pursuing my M.Tech while building new Generative AI and Agentic AI projects, and open to AI/ML & Data Science roles.

Let's talk

Get In Touch

Have a role, project or collaboration in mind? Let's talk.

Whether it's a job opportunity, a project idea or a question about my work, my inbox is open. Send a message using the form and it lands straight in my email.

Location

Hyderabad, Telangana, India