Rohan Khairnar is a data scientist with nine years of experience, currently applying advanced analytics at Meta after driving SMB ad-strategy and revenue optimization at Fractal Analytics. He blends statistical modeling, production-ready Python engineering, and product-focused experimentation to improve ad performance and targeting across large-scale campaigns. His background includes hands-on data pipeline work, migrating legacy Python codebases, and contributing technical review to Mining the Social Web, reflecting strong applied research skills in social network and graph analytics. Rohan has a Master’s in Information Technology with a focus on Advanced Data and Knowledge Discovery and a track record of reducing process times and automating QC in enterprise settings. Based in San Francisco, he combines a results-oriented, revenue-minded mindset with a “Data Ninja” curiosity for extracting practical insights from noisy digital signals.
9 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Information Technology (Software and Info. Systems dept.), Advanced Data and Knowledge Discovery, 3.8, Master of Science - MS, Information Technology (Software and Info. Systems dept.), Advanced Data and Knowledge Discovery, 3.8 at University of North Carolina at Charlotte
Bachelor's degree, Computer Engineering, First Class, Bachelor's degree, Computer Engineering, First Class at University of Mumbai
Contributions:1 commit, 16 pushes, 1 branch in 1 day
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