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Gowhar Addepalli

@gowharaddepalli

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Data scientist building ML solutions and analytics to drive product growth and reduce churn.

India

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What I'm looking for

I am seeking an entry-level role in data science or analytics where I can apply ML and SQL to drive product impact, work cross-functionally, and continue learning in a collaborative team.

I am a data scientist focused on developing machine learning models and analytics pipelines to solve product and marketing problems.

Through multiple internships I have built churn prediction models and automated reporting workflows using Python, SQL, Pandas, and Power BI. My Random Forest churn model achieved 88% recall and my toxic-comment classifier reached 92% accuracy.

I build end-to-end tools and dashboards with Streamlit and Jupyter, and I deploy NLP and computer-vision solutions using TF-IDF, Tesseract OCR, and OpenCV. I’ve published 10+ projects on GitHub demonstrating recommender systems, resume screening, and invoice extraction.

I seek roles where I can apply ML and analytics to drive measurable business outcomes, collaborate cross-functionally, and continue learning new technologies.

Experience

Work history, roles, and key accomplishments

Current

Data Science & Analytics Intern

Current

Zidio Development

Jun 2025 - Present (2 months)

Automated data analytics workflows and analyzed user behavior to perform segmentation and retention modeling. Delivered actionable insights to support marketing strategies and churn reduction efforts.

Python SQL Pandas SeaBorn Power BI Retention Segmentation

Current

Data Analyst Intern

Current

Infotact Solutions

May 2025 - Present (3 months)

Applied churn analytics and customer segmentation to generate insights for data-driven marketing. Automated reporting workflows using Python and SQL to streamline weekly performance tracking.

Python SQL Pandas SeaBorn Power BI Customer Segmentation

Data Science & Machine Learning Intern

Zaalima

Apr 2025 - Jul 2025 (3 months)

Built a churn prediction model using Random Forest achieving 88% recall and created interactive dashboards to present key business insights. Developed ML pipelines using Scikit-learn, Pandas, and Jupyter.