Hi, I'm

YAMINI SRIJA KOULURY

Transforming Data into Smarter Solutions

Engineering data into real-world impact across analytics, cloud computing, embedded systems, and research — with a passion for building intelligent, scalable solutions.

About Me

Yamini Srija Koulury

I'm a Master's student in Data Science at Indiana University, passionate about using data to solve real-world challenges. My interests span optimizing supply chains, building ML-driven healthcare solutions, and uncovering insights through advanced analytics.

My background in computer science and hands-on experience with 3D firmware, APIs, and AWS cloud solutions gives me a unique edge in data-driven product engineering. I thrive at the intersection of research and practical implementation.

My Journey

Heartland Community Network

Senior Consultant (Data)

Jun 2026 – Present Bloomington, Indiana · Remote
  • Improved downstream reporting accuracy by 30% by standardizing data definitions and automating SQL validation checks to surface previously undetected anomalies.
  • Transitioned executive reporting from reactive to real-time capabilities by designing and deploying Power BI dashboards utilizing custom DAX measures and Power Query transformations.

Indiana University

Teaching Assistant — Social & Ethical Impacts of Big Data

Jan 2026 – May 2026 Bloomington, Indiana
  • Guided students through critical analysis of data ethics, privacy, algorithmic bias, and the societal implications of large-scale data systems.

Ikabit Inc.

Software Engineer (Data) · Internship

Jun 2025 – Aug 2025 Sacramento, California
  • Contributed to data engineering initiatives, building scalable data pipelines and infrastructure for enterprise data products.

Emirates Steel Arkan (EMSTEEL)

Data Analytics Intern

Mar 2024 – Jul 2024 Abu Dhabi, UAE · Hybrid
  • Delivered data analytics insights across IT Integration, Project Management, and AI domains
  • Worked with SAP ERP systems to support data-driven decision making in steel manufacturing

3rdEyeLabs.io

Data Engineer · Full-time

Dec 2023 – Feb 2024 Abu Dhabi, UAE
  • Engineered data pipelines and firmware solutions using C++ and Autodesk Fusion 360
  • Worked on embedded systems and 3D printing data infrastructure

New York University

Data Science Research Intern

Sep 2023 – Dec 2023 Abu Dhabi, UAE · Hybrid
  • Conducted data science research projects at NYU Abu Dhabi, applying advanced analytics and machine learning techniques to real-world datasets.

My Skillset

Programming Languages

Python SQL R C++ Java JavaScript TypeScript HTML CSS

Data Science & ML

ML Scikit-learn TensorFlow PyTorch Pandas NumPy Data Mining SVM Predictive Models Random Forest

Data Visualization

Tableau Power BI Matplotlib Seaborn Plotly Jupyter Notebook MS Excel Data Storytelling

Cloud & DevOps

AWS EC2 ECR App Runner Docker Linux Cloud Computing SAP Integration

Tools & Technologies

Git APIs Shell Scripting Agile Fusion 360 Data Scraping Python Automation

Embedded Systems

Klipper Marlin 3D Printer Firmware Embedded LED Matrix Sensor Deployment Device Optimization

Featured Projects

01

CourSelect (Course Advising Platform)

Engineered a full-stack AI academic advising platform, achieving sub-3-second semantic search responses across an 8,983-course catalog, by implementing a two-level caching system and vector embeddings on CockroachDB.

Guaranteed zero-downtime AI query resolution and 100% response reliability during external API outages by designing a 4-tier LLM fallback architecture, dynamically routing requests from Google Gemini to local Ollama models and Mistral Cloud.

PythonAWSCockroachDBAgentic workflows
02

Analyzing & Visualizing HRA UI Usage

Processed 120K+ log records (665MB) by architecting a scalable analytics pipeline using AWS EC2 to parse CloudFront logs. Designed interactive dashboards visualizing session data with Matplotlib and Seaborn.

AWSPandasNumPyMatplotlibSeaborn
03

Safer Routes via Accident Analysis

Spatial analysis of 7.7M US accident records using DBSCAN clustering, heatmaps, and custom risk scores to engineer a safety-aware routing system over OpenStreetMap data.

PythonDBSCANOpenStreetMapData Science
04

IPL — Beyond the Numbers

Explored hidden narratives within the Indian Premier League using ball-by-ball data and brand valuation datasets. Visualization with rose charts, violin plots, chord diagrams, and bubble charts.

Data StorytellingAdvanced VizBrand Analysis
05

Alzheimer's Diagnosis Modeling

Advanced predictive modeling on OASIS dataset using ensemble methods with SHAP explainability for medical professionals. Achieved 93% accuracy with clinical validation.

PythonSHAPXGBoostSVMJupyter
06

Personalized Medical Recommendation System with Machine Learning

NLP-powered cloud service on AWS with Dockerized deployment for intelligent pharmaceutical recommendations. Scalable architecture with App Runner.

NLPAWS EC2DockerPythonApp Runner
07

AI-Based Natural Disaster Analysis

IBM Watson-powered AI models for natural disaster event prediction and analysis. Built during IBM externship program for real-time analysis.

IBM WatsonPythonData EngineeringAI/ML

Education & Honors

🎓

Indiana University Bloomington

Master of Science in Data Science

2024 – 2026

Coursework: Applied Database Technologies, Social Media Mining, Information Visualization, Usable AI, Data Mining, Statistics, Cloud Computing, HCI

🎓

Manipal Academy of Higher Education Dubai

Bachelor of Technology in Computer Science and Engineering

2019 – 2023

Coursework: Data Structures, Data Communication, Data Analytics, Computer Vision, Natural Language Processing

🏆

Best Paper Award

7th International Student Research Colloquium on AEIT

May 2022 · Manipal University Dubai

Life Expectancy — Exploratory Data Analysis using Jupyter Notebook and Excel

Certifications

Microsoft Certified: Power BI Data Analyst Associate

Microsoft PL-300: Power BI Data Analyst Associate

Certification

Get In Touch

I am open to data science, data engineering, machine learning, and analytics opportunities where I can help build scalable, thoughtful systems!