Summary
Jeffrey Nicolich is a data analyst and former physical scientist with eight years of experience translating domain expertise in materials science and finance into practical data science solutions. He has led analytics strategy and teams at Ascensus, delivering multimillion-dollar retention and growth outcomes through predictive modeling, and now applies his skills at Doximity to support healthcare professionals. Technically fluent in Python, SQL, machine learning, NLP, and cloud analytics tools, he combines rigorous experimental thinking from a PhD in Materials Science with Lean Six Sigma Black Belt process discipline. Jeffrey is as comfortable building feature-rich models and production data pipelines as he is presenting insights to senior leadership and mentoring analysts. Outside work he co-founded and administers the Boston Pianist Community, showing a knack for building and scaling technical and cultural communities alike.
9 years of coding experience
10 years of employment as a software developer
Technischen Universität Darmstadt
Diplom (equivalent to M.S.) Mineralogy/Crystallography, Diplom (equivalent to M.S.) Mineralogy/Crystallography at Goethe University Frankfurt
Vordiplom (equivalent to B.S.) Mineralogy/Crystallography, Vordiplom (equivalent to B.S.) Mineralogy/Crystallography at The Julius Maximilians University of Würzburg
English, German