Data Scientist

• May 2021 - Present

Data Scientist

• Jul 2019 - Apr 2021

• Python and R programming• Data science consulting, business approach• Predictive modelling, clustering analysis, data exploration, analytics dashboards𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀:* Automation of CO2e reports and elaboration of a regional carbon reduction program (Tier 1): travel emissions data processing in python and dashboards generation in Tableau, draft carbon reduction planning at local level as part of the 2030 net-zero pledge* Automation of office survey reports (Tier 1): data processing in Alteryx and dashboards generation in Tableau* Optimization of mine operations (Industrial Goods): flotation recovery optimization with linearized models and gradient boosting techniques in python* Customer clustering analysis (Consumer Goods): customer journey analysis with unsupervised ML in R for value proposition in shopping malls* Optimization of mine operations (Industrial Goods): throughput prediction with gradient boosting techniques for optimizing SAG mills Ops. Deployment in Airflow, python programming𝗔𝗳𝗳𝗶𝗹𝗶𝗮𝘁𝗶𝗼𝗻𝘀:* Social Impact: coaching local entrepreneurs in improving their value proposition and elevator pitch under the Yunus Social Business-BCG Annual Award for Entrepreneurs * Green Team: local node logitics and recycling material (Bogotá), regional carbon emission program and newsletter (South America)

Data Scientist

• Mar 2018 - Jul 2019

• Python and R programming• Data Science consulting, advanced analytics• Machine learning (supervised learning, clustering), exploratory data analysis• SQL Databases𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀:* Tool to prioritize deployment of radio infrastructure (Telecom)Development of a tool to help the decision making in the strategy of investment in networkinfrastructure. Prioritization of radio cells deployment to maximize the return of investment.* Customer clustering analysis (Consumer Goods)Analysis of wholesale-customer-journey clusters, with the aim of identifying patterns and developing personalized campaigns.* Default risk models in banking products (Telecom)Designed a predictive model for default risk in banking products for telecom customers withsubsidized handsets.

Freelancer

• Jun 2017 - Jan 2018

Machine Learning, Programming, Mathematics

Graduate Research Assistant

• Apr 2015 - Dec 2017

• Python programming• Machine learning, data mining• Remote sensing applications𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀:* Master's Thesis on cloud-filling Sentinel-2 multispectral imagery with machine learning methodsRegression models for predicting pixel information at ground level lost due to clouds* Spectral interpolation on multispectral satellite imagesMachine learning techniques for the homogenization of satellite images from varying sensorsin terms of their spectral resolution* Rainfall interpolation and hydraulic responses to earthquakesRegression models for predicting missing rainfall data and later classification of the type ofresponse of hydraulic reservoirs to earthquakes * Cloud classification in Sentinel-2 multispectral imagery𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻:• Hollstein, A.; Segl, K.; Guanter, L.; Brell, M.; Enesco, M., Ready-to-Use Methods for the Detection of Clouds, Cirrus, Snow, Shadow, Water and Clear Sky Pixel in Sentinel-2 MSI Images., Remote Sensing, 2016

Software Developer

• Sep 2011 - Nov 2013

• Java programming• 3D Geometric tools development for drive simulation platform• Software development in the automotive industry