Ridwan Alam

Ridwan Alam is a self-taught software developer with a background in energy engineering who recently completed a Data Science bootcamp. His interests lie in emerging technologies such as Tesla and the Hyperloop.

With a strong foundation in Python, Ridwan's notable skills include Machine Learning encompassing Regression, Classification, Supervised and Unsupervised Learning, NLP, Neural Nets using tools like TensorFlow, Darknet, and YOLO, as well as proficiency in Databases including SQL and PostgreSQL.

Having a history of presenting technical solutions to non-technical audiences, Ridwan worked for 5 years as an Energy Engineer across the US, Mexico, and Canada, focusing on energy efficiency projects in the commercial and industrial sectors. He later transitioned into Business Development, specifically targeting solar PV projects in the New York/New Jersey area.

Ridwan's educational background includes studying at Metis and earning a Bachelors of Science in Industrial and Systems Engineering from Virginia Polytechnic Institute and State University.

Professionally, Ridwan has served in various roles such as Associate Data Scientist at The General®, Contributor for the U.S. Feasibility Studies Team at Hyperloop Transportation Technologies, Inc., Software Engineer at Self-Employed, Account Manager for Affordable Housing at Bright Power, Inc., Commercial Solar Project Developer at Solar Landscape, Energy Manager at Aramark Engineering and Asset Solutions, and Energy Engineer at Ingersoll Rand.