Derek Howard Leckner, M.S
About Derek Howard Leckner, M.S
Derek Howard Leckner, M.S, is a Data Scientist specializing in Customer Success and Implementation at Turing Labs Inc. in New York, where he has worked since 2022, following a diverse career in data science and sales roles across various companies.
Work at Turing Labs Inc.
Derek Howard Leckner serves as a Data Scientist in the Customer Success & Implementation team at Turing Labs Inc. since 2022. His role involves leveraging data science techniques to enhance customer experiences and streamline implementation processes. Based in New York, New York, he has contributed to various projects aimed at improving product insights and client goods development through advanced data analysis.
Education and Expertise
Derek holds a Master's degree in Data Science from NJIT Ying Wu College Of Computing, which he completed from 2021 to 2023. He also earned a Certificate in Data Science from Rutgers University in 2020. Additionally, he has a Bachelor of Science in Environmental Policy, Institutions, & Behavior and Economics from Rutgers University, obtained from 2014 to 2018. His educational background equips him with a strong foundation in data analysis and machine learning methodologies.
Professional Background
Derek has a diverse professional background, having worked in various roles related to data science and customer success. Prior to his current position, he was a Senior Sales Development Representative at Cognism from 2020 to 2021 and later served as an Account Executive at the same company from 2021 to 2022. He also gained experience as a Data Scientist at Comtura in 2022 and as a Financial Intern for Josh Gottheimer for Congress in 2017.
Technical Skills and Projects
Derek has demonstrated technical proficiency through various projects. He constructed and managed an ETL pipeline using Python, which significantly reduced data transformation times by over 99%. He also conducts exploratory data analysis on client datasets with tools such as Pandas and Jupyter Notebook, preparing data for modeling. Additionally, he has experience in running Bayesian network machine learning models to provide product insights.
Achievements in Data Analysis
In his role as a Data Scientist, Derek has conducted root cause analysis on 48 product and algorithm bugs, enabling the prediction and circumvention of future issues. His analytical skills contribute to the overall success of the projects he undertakes, ensuring that data-driven decisions are made effectively to enhance client outcomes.