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  • University of California, Davis
  • San Francisco, CA
  • 00:21 (UTC -08:00)
  • LinkedIn in/kunchakuri-hitesh

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khiteshk/README.md

Hitesh Kunchakuri

📍 San Francisco, CA 📞 (510) 998-8159 ✉️ [email protected]

About me 👨‍💻

I am a dedicated Data Scientist with a Master of Science in Business Analytics from the University of California, Davis, and over 4 years of experience in data analytics, machine learning, and technology integration. I have a strong foundation in leveraging statistical modeling, predictive analytics, and customer segmentation to drive business insights and process improvements.

  • Recently focused on enhancing marketing strategies through data-driven insights, improving customer engagement, and boosting revenue growth.
  • Actively seeking opportunities to collaborate on Machine Learning, AI innovations, Business Analytics solutions, and data-driven decision-making projects.
  • Skills: Python, R, SQL, Tableau, AWS, Bash, Git, and Agile Methodologies.

Education 🎓

  • M.S in Business Analytics, University of California Davis (Graduated in Sep 2024)
  • B.Tech in Electrical Engineering, Indian Institute of Technology Dhanbad (Jul 2015 - May 2019)

Experience 💼

  • Data Scientist at Standard Insights (San Francisco, USA): Collaborated with the C-suite team to optimize targeted digital marketing campaigns, analyzing over 2500+ sales data points using customer segmentation techniques like RFM and K-means. Achieved a 20% increase in user engagement and a 15% boost in revenue through algorithmic recommendations.

  • Associate Consultant at Oracle (Capgemini India): Engineered data-driven solutions using SQL, PL/SQL, and NoSQL to automate reports and streamline business processes, saving 500+ man-hours per month. Delivered strategic insights by designing business and financial dashboards for senior leadership.

  • Senior Analyst at Tabcorp (Capgemini India): Led the development of Oracle BI reports, reducing manual processes through automation and data modeling. Recognized for creating efficient, customized solutions for complex client data needs.

Key Projects 🚀

  • Customer Lifetime Value Prediction: Modeled CLTV using historical data to optimize marketing spend.
  • Customer Segmentation: Applied K-means clustering to identify actionable customer segments like VIPs and high churn risks, developing a Tableau dashboard for performance tracking.
  • Marketing Mix Effectiveness: Analyzed marketing spend effectiveness using Kalman filters and State Space Models.

Certifications 📜

  • Oracle Cloud Infrastructure 2024 Generative AI Certified Professional
  • Lean Six Sigma Green Belt
  • The Associate Certified Analytics Professional (aCAP®)

Popular repositories Loading

  1. khiteshk khiteshk Public

    Config files for my GitHub profile.