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Saurabh Vora

@saurabhvora

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Data science intern at Unified Mentor who built an 82%-accurate attrition classifier and AI recommendation systems.

India

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What I'm looking for

I’m targeting fresher roles in Data Science, AI/ML, or Data Analytics.

At Unified Mentor, I built an employee attrition classifier using scikit-learn, reaching 82% accuracy, and identified turnover factors through feature engineering. I also designed Power BI dashboards for exploring model predictions alongside historical sales trends.

I built an AI-powered anime recommendation system that uses Sentence Transformers to match natural-language queries with a dataset of more than 3,000 anime. Its pre-indexed vector search returned recommendations in under 50 milliseconds.

I also built StudySync AI, a personalized learning platform that uses Gemini and Hugging Face Transformers to create learning playlists from more than 10,000 YouTube videos. Its semantic gap analysis identifies missing concepts, and its generative syllabus feature creates topic breakdowns in under two seconds.

I’m a graduate IT engineer targeting fresher roles in Data Science, AI/ML, or Data Analytics. I’m certified as an OCI AI Foundations Associate by Oracle.

Experience

Work history, roles, and key accomplishments

Data Science Intern

Unified Mentor

Jun 2024 - Jul 2024 (1 month)

Built employee attrition classifier using scikit-learn (Random Forest), achieving 82% accuracy; identified key turnover factors via feature engineering with Pandas and NumPy. Designed interactive Power BI dashboards visualizing model predictions against historical sales trends for stakeholder drill-down analysis.

scikit learn Random Forest Pandas NumPy Power BI Feature Engineering