Reinforcement Learning Cart Pole
Built RL agent optimizing real-time decision-making for cart-pole balance control using optimal action strategies.
View Codeecho "Welcome to my portfolio"
VIGNESH TALLAM
Data Scientist specializing in healthcare & environmental intelligence
Expertise in ML & NLP with proven track record in leading go-to-market launch of award-winning predictive solutions preventing falls in vulnerable populations.
623.261.9580 |
vigsach@gmail.com |
Tempe, AZ
Meet the Data Scientist
2022 Gold Medalist for academic excellence and recipient of the Best Outgoing Student award, currently pursuing MS in Data Science at Arizona State University (GPA: 3.78/4.0). Three years of hands-on experience transforming complex data into compelling stories and high-impact implementations.
Technical Expertise
Languages
- Python
- SQL
ML & Analytics
- Supervised/Unsupervised Learning
- Deep Learning
- NLP
- Time Series
Visualization
- Tableau
- AWS QuickSight
- Streamlit
Cloud & Big Data
- AWS Lambda, S3, Redshift
- Kinesis
- GCP
- Spark
When not deep in analysis, you'll find me draining three-pointers on the basketball court, cheering on Formula One, or drafting blog posts.
Connect on LinkedIn$ cat professional_journey.log
> Data_Scientist.exe
@ThriveWell_Tech
[Jan 2024 - June 2025]
Led predictive analytics solution using Gradient Boosting and Random Forest, analyzing 10+ years of EHR data. Achieved 70% reduction in resident falls across healthcare facilities through AWS-deployed ML models and QuickSight dashboards.
> AI_Engineer.py
@HealthPresso
[Mar - Aug 2024]
Created health article generation system using Llama 3.1 & RAG, reducing drafting time from hours to minutes with TaiPy-based UI.
> Cloud_Engineer.sh
@Persistent_Systems
[Nov 2022 - Dec 2023]
Migrated VMware infrastructure to AWS, developed scalable pipeline processing 500K+ daily social media posts using Kinesis, S3, Lambda.
> Data_Science_Intern.js
@Ambee
[Jan - Sept 2022]
Automated QA process for real-time air quality benchmarking, improved production pipeline data quality.
Applied Data Projects
CDC Diabetes Prediction
Implemented LightGBM & Mixture of Experts on CDC datasets predicting diabetes onset with 83% recall. Visualized insights using SHAP/LIME for early intervention scenarios.
Explore ProjectHealthcare Fall Prevention System
Award-winning predictive solution analyzing EHR data with Gradient Boosting, deployed via AWS infrastructure, achieving 70% reduction in patient falls.
View DetailsLet's Connect
Phone
623.261.9580
Location
Based in Tempe, Arizona
Always open to discussing data science opportunities and innovative projects.