Swanand Barsawade

I am a data and AI practitioner focused on process intelligence and intelligent automation. I design and ship enterprise solutions using Celonis, UiPath and machine learning to improve process performance and unlock measurable business value. I also build production grade ML and GenAI applications, including LLM, RAG and agentic workflows, with close attention to reliability and maintainability. I lead programs end to end, from data pipeline design and architecture to rollout, adoption and value tracking. I am known for clear execution, thoughtful technical judgment and outcomes that teams can trust. I bring a product mindset that aligns technical execution with customer value and business priorities.

Experience

I have led enterprise programs across process mining, UiPath aligned automation, machine learning, experimentation and BI delivery. I build scalable data and AI systems on strong engineering foundations, with reliable pipelines and architecture patterns that hold up in production. I translate complex business questions into production ready systems with measurable impact.

Projects

These projects reflect my approach as a practitioner: start with business outcomes, build the right analytical or AI solution and engineer for scale. I communicate clear decision ready results.

Finding Ideal Location for a New Restaurant

Analyzed Yelp data to identify high potential expansion zones for restaurants. Built clustering, sentiment analysis and classification workflows, then mapped recommendations using Google Maps APIs.

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Micro Credit Loan Defaulter

Built a credit risk classification pipeline using Logistic Regression, SVM and tree based models to identify likely defaulters from repayment history and financial indicators.

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Sales Data Analysis of Walmart Stores

Developed a PySpark based forecasting workflow for Walmart department sales, combining feature analysis and regression modeling for more reliable planning.

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EDA of Avocado Dataset

Performed end to end EDA and price prediction on avocado market data using SVR, Decision Tree and Random Forest regressors.

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Predicting Customer Retention

Built churn prediction models on telecom customer data to identify at risk users and support targeted retention strategies.

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Implementing Genetic Algorithm for Feature Optimization

Implemented a genetic algorithm for knapsack style optimization and evaluated convergence and solution quality across configurations.

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Skills, Architecture & Leadership

I combine deep technical capability with delivery leadership. My toolkit spans data science, process mining, intelligent automation, AI engineering, data engineering and analytics architecture. I operate with high standards for technical rigor, reliability and measurable outcomes.

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