Satya Teja Yannam | Applied AI & Data Engineer

Selected Work

Production-minded AI and data systems.

Three deeper case studies lead the portfolio. Smaller experiments sit behind them instead of competing for attention.

01 / Public Data Engineering

OpenTheBooks Public Data & Housing Analytics

Built Streamlit analytics for IRS migration and public-data research, then extended the work into housing affordability analysis across all 50 states using FHFA House Price Index and Census ACS income data.

Problem: Public datasets were spread across sources and needed cleaning, validation, reconciliation, and recruiter-readable analysis.
Built: Interactive analytics surfaces for county-level migration, AGI flows, trend comparison, and affordability research workflows.
Technical decisions: Python, Streamlit, Pandas, SQL-style transformations, validation checks, and clear public-policy visualizations.
Result: Supported published OpenTheBooks analysis and made complex migration/housing data easier to inspect.

PythonStreamlitPandasPublic DataETLVisualization

View Case Study GitHub

IRS migration FHFA HPI ACS income

02 / Healthcare Operations Intelligence

MedKick Call Analytics, Automation & AI

Built operational systems around GoTo call data, workforce visibility, Slack/n8n automations, Apollo enrichment, and a MedKick AI assistant for internal knowledge workflows.

Problem: Healthcare operations needed visibility into inbound, outbound, missed-call, duration, and time-gap patterns.
Built: Secure Streamlit dashboards, GoTo OAuth integration, token refresh, nurse-level performance views, exports, and AI Q&A support.
Architecture: GoTo API -> Python ingestion -> KPI engine -> Streamlit dashboard -> n8n/Slack operational workflow.

GoTo APIStreamlitPythonn8nSlackOAuth

View Case Study GitHub

MedKick nurse call analytics dashboard screenshot

03 / Agentic RAG

AutoAgent RAGBot

Agentic RAG system concept focused on belief-state reasoning, retrieval pipelines, and fallback routing for operational knowledge workflows.

Problem: Standard chatbot flows fail when intent is unclear, context is missing, or retrieval confidence is weak.
Built: Architecture for query state tracking, retrieval, vector search, LLM response generation, router decisions, and fallback/tool handoff.
Stack: Mistral 7B, AutoGen, LangChain, Python, and FAISS/Pinecone where applicable.

RAGLangChainAutoGenMistral 7BVector Search

User Query Intent / State Retriever Vector Database LLM Agent Router Fallback / Tool Response

Experiments & Builds

Smaller repositories and prototypes that show range without diluting the flagship work.

CardioCare

Heart disease prediction notebooks with preprocessing, EDA, and supervised ML model comparison.

Repository

Prompt Engineering Lab

FAU Generative Intelligence Lab exercises for prompting techniques, local model calls, and workflow templates.

Repository

MHbot

Python chatbot experiment in the mental-health support category. Kept conservative until more documentation is added.

Repository

ElderGuard

Early fall-detection machine learning project for elderly safety use cases.

Repository

Gemini App

AI application repository. The README currently contains merge-conflict text, so the portfolio keeps the claim minimal.

Repository

SpeechAndText

Speech and text processing repository listed publicly under the GitHub account.

Repository

Experience

Internship work framed around systems shipped.

Recruiters should see applied engineering work quickly: data ingestion, validation, dashboards, APIs, automation, and AI workflows.

OpenTheBooks · Data Analysis Intern

Public Data Engineering + Analytics + Research

Worked with IRS migration data, government spending datasets, county-level data, FHFA House Price Index, Census ACS income data, and housing affordability analysis.

Cleaned, validated, reconciled, and visualized public datasets for research/reporting workflows.
Built Streamlit dashboards and interactive analytics for county-level migration and AGI movement.
Analyzed all 50 states using 2015-2024 growth comparisons and 2024 down-payment affordability framing.

MedKick · Data Science & Analytics Intern

Healthcare Data + AI + Automation + Operations Engineering

Built operational visibility and automation around healthcare call workflows, nurse performance analytics, enrichment, and internal knowledge retrieval.

Integrated GoTo call APIs with OAuth/token refresh and Streamlit dashboards for call monitoring.
Implemented nurse-level inbound, outbound, missed-call, duration, and time-gap analytics.
Developed Slack/n8n/Apollo automation workflows and RAG chatbot components using Mistral/LangChain concepts.

Currently Building

SuprGig

Founder / product build in progress.

Managed software and AI delivery platform

SuprGig helps companies build software, AI tools, websites, applications, and automations without maintaining a full internal technical team.

Company posts project Validated developers Managed milestones Moderated communication Coordinated delivery

Now

Building SuprGig.
Exploring agentic AI workflows.
Developing AI/data products.
Seeking Applied AI & Data Engineering opportunities.

Research & Writing

Published ML research, kept separate from internship work.

International Journal of Enhanced Research in Science, Technology & Engineering · 2023

Heart Disease Prediction Using Machine Learning

Studied cardiovascular risk prediction using structured patient attributes, preprocessing, exploratory analysis, and supervised machine learning models.

Problem: Estimate heart-disease risk from clinical variables in a classification setting.
Approach: Compared Decision Trees, Random Forest, SVM, and Logistic Regression with model evaluation.
Result: The linked CardioCare repository documents Logistic Regression as the strongest reported model at 92.10% accuracy.
Methods: Python, Jupyter Notebook, preprocessing, EDA, supervised classification.

Project Repository Request Paper Link

Writing

Technical notes and articles will be added here when they are published. No placeholders are presented as existing work.

Technical Arsenal

Focused tools, not a keyword dump.

Core

Python, SQL, JavaScript

AI / ML

PyTorch, TensorFlow, LangChain, RAG, Mistral, AutoGen, Hugging Face, FAISS, Pinecone

Data

Pandas, NumPy, PostgreSQL, data modeling, ETL, validation, analytics workflows

Systems

FastAPI, REST APIs, OAuth integrations, Docker, Git, n8n, Slack workflows

Analytics

Streamlit, Tableau, Power BI, Matplotlib, dashboards, reporting interfaces

About

I like building the full path from data to product.

My work sits at the intersection of AI, data, automation, and real-world operations. I have built public-sector analytics, healthcare dashboards, RAG systems, and product experiments with an engineering mindset: ingest the data, validate it, model it, connect the API, and make the output useful.

Satya Teja Yannam at Florida Atlantic University graduation — M.S. Data Science & Analytics, Florida Atlantic University.

Path So Far

A compact timeline, moved below the core recruiter content.

2020Computer Science

B.Tech in CSE with AI/ML specialization at Malla Reddy University.

2023Published ML Research

Heart disease prediction using supervised machine learning.

2024Graduate Study

M.S. Data Science & Analytics at Florida Atlantic University.

2026Applied Systems

OpenTheBooks, MedKick, RAG systems, dashboards, automation, and SuprGig.

Education

Academic foundation.

2026 · Boca Raton, Florida

Florida Atlantic University

M.S. Data Science & Analytics

GPA: 3.9 / 4.0

2020-2024 · Hyderabad, India

Malla Reddy University

Bachelor of Technology, Computer Science & Engineering

AI/ML Specialization

Selected Credentials

Secondary proof, behind shipped work.

AWS Academy

Data Analytics, Cloud Foundations, Machine Learning Foundations

DeepLearning.AI

TensorFlow / AI and Machine Learning coursework

Anthropic

MCP introduction and advanced credential work

IBM / Google / Microsoft

SQL, data foundations, and AI classroom credentials

View all credentials on LinkedIn

Resume

Resume ready for recruiters and hiring teams.

Download the current PDF resume for a concise overview of my Applied AI, data engineering, automation, and analytics work.

Open Resume PDF

Contact

Let's build something useful.

Best for Applied AI, data engineering, ML engineering, analytics engineering, AI automation, and technical startup roles.

syannam2024@fau.edu LinkedIn GitHub