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Hemank Patwal

@hemankpatwal

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Data Analytics Associate at ZS Associates analyzing 900K+ patient reviews and building LLM-assisted NLP workflows.

India

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At ZS Associates, I analyzed 900K+ patient social-listening reviews using Python, SQL, and Excel. I transformed unstructured data into analytical outputs for reporting and insight generation.

I built LLM-assisted NLP workflows using prompt engineering and rule-based tagging across 5+ analytical dimensions. I also performed data cleaning, classification, and analytical QA to support reliable downstream reporting.

For Roche Genentech’s ES-SCLC ATU Pulse Tracker, I analyzed 100+ physician survey responses and prepared structured KPI reporting views. In projects, I compared ARIMA and Prophet for sales forecasting and developed a credit-card fraud classification pipeline.

Experience

Work history, roles, and key accomplishments

Current

Data Analytics Associate

Current

ZS Associates

Aug 2025 - Present (1 year 2 months)

Processed and analyzed 900K+ patient social-listening reviews using Python, SQL, Excel, Amazon S3, and Jupyter Notebook. Built LLM-assisted NLP workflows and performed analytical QA to improve reliability of downstream reports.

Python SQL Excel S3 Jupyter Notebooks NLP Prompt Engineering Data Cleaning Data Validation KPI Reporting Dashboarding Stakeholder Communication

Software Engineering Intern

M+V Altios

Jun 2025 - Aug 2025 (2 months)

Automated repetitive data-processing and operational workflows using Python and UiPath Studio, resulting in approximately 30% improvement in operational efficiency. Built resume-shortlisting workflows and developed backend utility modules using VB.NET, C, and Visual Studio.

Python UiPath Studio VB.NET C Visual Studio Process Automation data preprocessing

Education

Degrees, certifications, and relevant coursework

Maharaja Agrasen Institute of Technology

B.Tech, Artificial and Data Science

2021 - 2025

Grade: 8.1 CGPA

Pursued a B.Tech in Artificial and Data Science, achieving a CGPA of 8.1.

Acmegrade

Machine Learning Certification, Machine Learning

2024 - 2024

Completed a Machine Learning Certification covering supervised and unsupervised learning, regression, classification, clustering, and tools like Scikit-learn, TensorFlow, and Keras.