Ritvik Vasikarla
Data Scientist & Builder at Heart
I design and build data-driven systems that turn complex data into meaningful insights. From statistical modeling and machine learning to cloud-based analytics and interactive visualizations, I create solutions driven by curiosity and impact across tech and finance.
Professional Credentials
Intelligence Mix
Featured Lab Work
A collection of technical proofs across ML architecture, visual analytics, and high-performance engineering.
Chatbot Project
Advanced AI chatbot with custom knowledge integration and natural language interface.
- Integrated with GitHub for seamless codebase understanding
- Context-aware response generation using state-of-the-art LLMs
- Reactive UI for real-time human-AI interaction
Spotify Visualizer
Real-time personalization engine with sub-2s recommendation latency.
- Implemented multi-armed bandit logic for dynamic reranking
- Built with Vue.js and CI/CD via GitHub Actions
- Visualizes complex song attributes using radar analytics
NBA Analysis
Data-driven insights and statistical modeling for NBA player performance.
- Analyzed longitudinal performance metrics for top-tier athletes
- Modeled player impact using advanced Bayesian statistics
- Visualized shot charts and player efficiency ratings
Bankruptcy Prediction
Predicting financial distress using high-dimensional accounting ratios.
- Applied SMOTE to handle extreme class imbalance (95/5)
- Compared Random Forest vs Gradient Boosting for stability
- Achieved 91% F1-score on holdout test set
The Chronicle
A selective history of building production-ready intelligence and high-stakes data architectures.
Architecting a 7-phase intelligence pipeline using LangChain agents to quantify PESTEL risks.
Designing the data ingestion layer for 10+ global economic APIs.
Building reactive executive dashboards for real-time strategic monitoring.
Built an NLP framework projecting 30-40% eCommerce sales lift for key retailers.
Engineered cross-retailer inventory logic using sentiment and volume markers.
Presented findings to Molson Coors leadership as the top nationwide project.
Maintained Dean's Honor Roll status while building production-ready ML artifacts.
Conducted Bayesian analysis on economic social issues (ECON 470).
Medaled 2nd place in UW-Madison's Healthcare ML challenge.
Capability Domains
Deep technical expertise across the high-performance data lifecycle.