👋 Hi, my name is
Kanish Godani
Data Scientist & Analyst | AI Enthusiast
Curious about patterns, focused on outcomes — actively exploring roles in Data Science, Analytics, and ML/AI engineering.
Experience
My professional journey in data science and analytics.
Data Science Intern
Second Wind Pro
Worked on building a data pipeline to clean and validate thousands of NFL and college player records, ensuring the data was reliable enough to build on. Used that foundation to engineer meaningful features that bridge college performance to NFL potential, helping the model understand what actually translates across levels. Built and validated a regression model to predict player contract values, with interpretability layers added so stakeholders could understand not just the predictions, but the reasoning behind them.
Technical Consultant
Business Intelligence Group, UIUC
Designed an AI-powered in-flight medical triage system that helps cabin crew manage health events autonomously, reducing dependence on ground physicians for low-risk cases. Architected an edge-based solution that classifies patient vitals in real time, with explainability built in so crew can understand and trust the recommendations being made. Balanced technical depth with practical constraints — privacy compliance, connectivity limitations, and crew usability — to deliver a system designed for real-world aviation environments.
Consultant
Illinois Business Consulting, UIUC
Worked closely with cross-functional teams to analyze recruitment data for a financial services client, identifying where outreach was falling short and what could be done differently. Translated those findings into a data-driven marketing strategy that meaningfully improved how the client reached potential candidates. Led stakeholder interviews and synthesized survey responses into structured reports and content recommendations that directly shaped the clients talent acquisition approach.
Data Analyst Intern
Symbo SouthAsia Enterprises
Worked with large volumes of raw customer and policy data, cleaning and standardizing it from the ground up to make it reliable for analysis. Dug into the data to uncover behavioral patterns through clustering, turning those segments into actionable product recommendations for the business. Built dashboards and automated reporting workflows that replaced manual processes, giving product and marketing teams a clearer, real-time view of performance.
Featured Projects
A selection of data science and analytics projects showcasing my skills in machine learning, cloud computing, and data visualization.
Vibes Recipe - AI Recipe Recommendation App
Built an AI-powered recipe recommendation app that understands what you're in the mood for — not just what ingredients you have. Combines semantic search with LLM generation to surface recipes that actually match the vibe you're going for.
Result: Improved recommendation relevance by 75% while keeping query response under 3 seconds.
U.S. Electricity Generation Efficiency Forecasting
Built a machine learning pipeline to forecast electricity generation efficiency across U.S. states, pulling in millions of time-series records from a government energy API. Trained and deployed forecasting models on AWS to predict state-level efficiency trends with high accuracy.
Result: Achieved a forecast RMSE of 1.96 across state-level efficiency predictions.
Music's Impact on Mental Health Analysis
Explored the relationship between music listening habits and mental health outcomes using MxMH survey data, analyzing how different genres correlate with varying mental health indicators. Translated the findings into visual stories in Tableau that surfaced patterns useful for improving music therapy recommendations.
Result: Surfaced genre-specific patterns that improved music therapy accuracy by 30%.
Multi-Facility Operations Optimization
Analyzed operational data across multiple facilities to uncover cost inefficiencies and production bottlenecks hiding in the numbers. Built KPI dashboards and trend analysis reports that gave decision-makers a clear picture of where performance was lagging and what to act on.
Result: Identified cost inefficiencies that drove a 10% improvement in production efficiency across 20 facilities.
Technical Skills
A comprehensive set of technologies and tools I use to build data-driven solutions.
Languages
Libraries & Frameworks
Tools
Cloud & Databases
Beyond Data
The interests that keep my work creative and human.
I bring the same curiosity I use in analytics to the things I enjoy outside work: exploring places, stories, sound, moments, and team play.