Le' Sean Roberts

Orchestrated climatology research with extensive data wrangling, statistical modeling, feature engineering, machine learning techniques and stochastic models. Extensive application of general purpose and statistical computing programming languages.

Contributed to the optimization of the agency’s learning strategy by leveraging productivity software and cloud services to streamline workflows and enhance collaboration. Conducted research and development using diverse datasets. Data wrangling, statistical programming, and exploratory data analysis. Applied various types of machine learning such as supervised learning, unsupervised learning, and ensemble learning. Implemented time series analysis on various occasions.

Developed acumen for effective collaboration among New York City government agencies. Professional development and experience in communication, coordination, and data analytics. Mayoral Service Recognition 2024 Award. Certificate of Achievement with CUNY Service Corps.

Acquired stipends through the Collegiate Science & Technology Entry Program (CSTEP) at CUNY City Tech for engagement in professional growth opportunities that enhance communication and research skills in STEM.

https://www.parchment.com/u/award/c50eccd5efef8571518ac5b61e2ea6b2