Ajay Saini is a Data Science Associate Manager with 11 years of experience applying machine learning, big data engineering, and statistical methods to drive measurable business outcomes. He has led projects at Accenture and Equifax Canada, delivering high-accuracy NLP classifiers, robust cohort and segmentation analyses on multi-terabyte datasets, and models that surfaced key marketing drivers with strong predictive performance. Comfortable translating technical findings for non-technical stakeholders, he grew new admissions by 18% in a prior business-analyst-facing role and routinely builds Tableau dashboards to communicate impact. His background includes academic research work—leading a NASA-sponsored climate project at UC Irvine where he developed an open-source Python tool (JAWS) and achieved ~90% accuracy detecting winter melt events—demonstrating both production mindset and research rigor. Skilled across Python, R, SQL, Spark/Hadoop, and graph/datastore technologies, he thrives in fast-paced, cross-functional environments where hidden signals in large datasets unlock strategic advantage.
11 years of coding experience
6 years of employment as a software developer
Master’s Degree Data Science, Master’s Degree Data Science at Indiana University Bloomington
Bachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at Kurukshetra University
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