Edward Erley Guzman Gonzalez
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Data Scientists
Bogotá, Bogota, Colombia
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- TAdvance Statistics and Data Analyst FreelanceTeaching INJan 2014 - Current (12 years 10 months)Private instructor for differential, integral, vector calculus, econometrics, microeconomics, mathematical
statistics, inferential and descriptive statistics, prescriptive statistics using SPSS, Minitab, R, STATA, UNO, and
various branches of physics at the university level. Consultant for research projects related to statistical analysis
(inferential-hypothesis testing), development of stochastic and dynamic models for knowledge generation from
data, and prediction models (ARIMA, ARMA, RL, MV). Freelance Data Analyst – Data Scientist – BI - ML-Chatbot. - AAdvance Statistics and Data Analytics ProfessorJan 2012 - Current (14 years 10 months)As an Advance Statistics and Data Analytics Professor, I am responsible for delivering high-quality instruction in advanced statistical methods and data analysis techniques. I develop course materials and assessments that align with industry standards, ensuring students gain practical and theoretical knowledge. Additionally, I engage in research activities that contribute to the academic community and enhance the learning experience. My role also involves collaborating with colleagues on various projects, where I serve as an analyst for project requirements and research processes, ensuring that all initiatives meet the necessary criteria for approval and success. Furthermore, my extensive freelance experience as a data analyst over the past
Physics Teacher verified_user Verified experienceNgcMar 2008 - Jul 2012 (4 years 5 months)
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- NNovartis DatathonNov 2023Participants are tasked with predicting the daily phasing for each brand in each country for each of the months of 2022 (test set). To facilitate this challenge, historical daily phasing data for Novartis brands from 2013 to 2021 is provided (train set). The dataset encompasses millions of observations, capturing daily-level details across various brands, countries, and years. This wealth of data offers a rich source for extracting valuable insights. the predictions will be assessed based on their accuracy and effectiveness. The top 5 performers, as determined by specific metrics (will be later discussed), will advance to the next stage—the business challenge.