Open to opportunities

Sharan Patil

@sharanpatil

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Data science professional specializing in ML, NLP, and generative AI for business impact.

India

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What I'm looking for

I seek a collaborative, growth-oriented role applying ML, NLP, and generative AI to solve real-world problems, deliver scalable analytics, and work with cross-functional teams.

I am a data science and analytics professional with hands-on experience designing, deploying, and optimizing machine learning and NLP solutions across finance, healthcare, and technology domains.

I have led data migrations, automated complex account mappings, and delivered data-driven financial reports while ensuring data integrity and regulatory compliance.

My technical work includes building LLM and LangChain pipelines for automated document extraction, ensemble models for patient survival prediction using PySpark and Hadoop, and blockchain-based academic credit transfer research.

I am a collaborative communicator who focuses on scalable, production-ready analytics, generative AI solutions, and continuous process improvement to drive measurable business outcomes.

Experience

Work history, roles, and key accomplishments

Junior Data and Systems Analyst

Langham Hall

Jul 2023 - Nov 2024 (1 year 4 months)

Led migration of financial datasets from SUN Systems and automated complex account mappings with T-SQL, Excel and VBA, improving data integrity and accelerating reporting; served as primary support for fund accountants and automated waterfall calculations.

T SQL VBA MS Excel Data Migration ETL Data Quality Financial Reporting

Data Analyst

WorldAssessment Council

Sep 2022 - Jan 2023 (4 months)

Developed Random Forest classification models to enhance decision-making and led data quality investigations to improve data integrity while collaborating with external partners on data-driven initiatives.

Random Forest Python Data Quality Data Visualization SQL

Research Intern

Edorer Inc

May 2022 - Sep 2022 (4 months)

Conducted primary research and NLP analysis on structured and unstructured data, built an association-rule mining framework using Apriori and developed clustering models to improve survey response categorization.