Rahul Kulkarni

Rahul Kulkarni is a Data Scientist at Microsoft, currently based in Bellevue, Washington. He has over 12 years of experience in data science and analytics, specializing in areas such as predictive analytics, data engineering, and machine learning.

Professional Experience

• Data Scientist at Microsoft (January 2018 - Present)

  • Works within the Bing Ads Market Science team, utilizing data science and AI to enhance demand generation strategies for advertisers in the Bing Ads marketplace.

• Data Scientist - Consultant at Microsoft (April 2017 - January 2018)

  • Focused on customer growth and analytics within the Azure platform.

• Algorithm Developer at Unilectric (June 2016 - March 2017)

  • Developed analytics for energy management systems, incorporating IoT and predictive analytics.

• Senior Data Scientist at Mu Sigma Inc. (February 2015 - June 2016)

  • Engaged with major retail clients to analyze sales data and implement machine learning algorithms for predictive analytics.

• Program Analyst at Cognizant (January 2012 - June 2014)

  • Worked on operating system engineering and AI solutions for clients.

Education

• Master of Science in Computer Science from the University of Illinois at Urbana-Champaign (2019 - 2020).

Skills and Techniques

Kulkarni is proficient in various data science techniques including Random Forest, XGBoost, Support Vector Machines (SVM), neural networks, and deep learning frameworks like TensorFlow. His work often involves statistical analysis, optimization techniques, and the application of machine learning algorithms to real-world problems.1