Cristian Pachacama
- cristian.pachacama01@gmail.com
- Quito - Ecuador
My main area of study is Statistics and Data Science, my goal is to establish myself as an Product Data Scientist expert, for this I have tried to complement my studies of Mathematics (specialized in Statistics and operational research) with those of the use of different software tools and programming languages. Initially I focused my efforts on learning programming languages such as R and Python, there I acquired various skills for data treatment, modeling, analysis and visualization. In addition, I acquired skills in tools for Analytics such as Power BI, Tableau, as well as tools designed for Big Data such as Spark (Databricks). I am currently developing research on new imputation techniques in the area of Space-Temporal Statistics, Satisfaction Analysis with GLMM's, as well as Routing and Logistic models, and its applications in the continuous improvement of processes in all types of business.
Work Experience
Senior Data Scientist
Leading Advanced Analytics projects (ML, AI, Graph Theory, etc.) oriented to digital transformation.
Data Scientist
Leading artificial intelligence projects related to Image Recognition, NLP, text classification, etc.
Consultant
- Putting into production projects related to Statistics, Machine Learning and Artificial Intelligence.
- Academic tutor and Research assistant in topics related to Statistics and Mathematics.
Business Intelligence Analyst
In charge of carrying out projects related to Machine Learning with the aim of improving processes making them more efficient, as well as generating statistical models for decision-making in operations management.
- Creation of Scoring models for segmentation of clients.
- Implementation of a conversational chatbot, for customer service.
Project Manager
Carry out a correct development of activities and projects related to scientific research in the area of Economics, Statistics (and related).
External Consultant
Course instructor of: Dynamic and Reproducible Reporting with Rmarkdown - Free Software School, tools for all Data Scientists. (link)
Projects
Research Project
Research Assistant in project: Forecast and Impact of extreme low levels of streamflow in hydropower plants. (https://cristianpachacama.shinyapps.io/plataformatscluster/)
Project
Machine Learning model for forecasting the risk of failure of students of the EPN University.
Academic Project
Tutor in: Calculus, Vector Calculus and Linear Algebra
Information
Papers
- 2019 · Breves consideraciones respecto al plan ‘Casa para todos’ o la Política Social con fomento Productivo - Apuntes Técnicos, Instituto de Investigaciones Económicas, Pontificia Universidad Católica del Ecuador. (link)
- 2020 · Cluster Analysis of Seasonal Time Series, Modeling streamflows of rivers in Brazil - Escuela Politécnica Nacional. (link)
- 2020 · imputeSTS, an R package for imputation of missing data in Seasonal Time Series. (link)
Interests
- Research: Geostatistics, Mixed Models, CUB models, Multidimensional Scaling methods, Time Series models, Cluster Analysis.
- Work: Application of AI & ML techniques, Big Data and Data Science projects related.