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Luis M.
Vetted by YouTeam
Colombia
UTC -05:00
America/Bogota
English:
Advanced
Python-R Developer with good background in data science.
Data scientist with 4 years of experience in the area, being a native data profile. I have 6 years of experience with Python and R, 3 years of experience with SQL and 2 with SAS. I am currently working as a Data Scientist Leader. Academic experience working with Hadoop, MongoDB, Hive, Cloudera, Cassandra. I really like working in a team. I am a communicative person and very persevering in the fulfillment of my goals. My biggest achivement was Designed a model system conforming to 5 no supervised machine learning models to identify anomalies in the cyber world. We managed to automate the alerting of anomalies using AI, allowing us to detect anomalies that weren't possible with strict security rules previously, differentiating ourselves from the competition.
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Check if Luis is availableExpertise
Years of commercial development experience
6 years of experience
Core technologies
Project Highlights
UEBA
Dec `21 - Oct `22
10 months
A3sec
Designed a model system conforming to 5 no supervised machine learning models to identify anomalies in the cyber world. We managed to automate the alerting of anomalies using AI, allowing us to detect anomalies that weren't possible with strict security rules previously, differentiating ourselves from the competition.
Responsibilities & achievements
Lead my team to achieve the company's goals. Support them in the construction of models and mentoring in the construction of their models. Following the scrum master methodology.
Commercial fraud detection
Dec `20 - Dec `21
1 year
Davivienda
Developed a fraud model to identify compromise points, developing the input ABT and the modeling process under the CRISP-DM and Scrum methodology.
Responsibilities & achievements
Follow the crips-dm methodology to achive the objective of developing and implementing the fraud model
Commercial fraud detection
Apr `20 - Nov `20
7 months
Incocrédito
Reduced fraud for the company's clients by developing and implementing fraud models for new and old businesses, under the scrum and crisp-dm methodology.
Responsibilities & achievements
Follow the crips-dm methodology to achive the objective of developing and implementing the fraud model
Digitalization of credit models using SAS
Feb `20 - Dec `20
10 months
Banco Popular
Digitalized 100% of model predictions and accelerated the process by implementing models in the Intelligent Decisioning and Model Manager tools for the repository of models for the commercial segment, payroll, and credit card.
Responsibilities & achievements
Use SAS tools to create the ABT of the models (SAS Studio), store the models as objects (SAS model manager), and the production pipeline (SAS intelligent decisioning).
Credit risk model
Jul `19 - Sep `19
2 months
Datatex
Create a credit risk model for short loans.
Responsibilities & achievements
Follow the crips-dm methodology to achive the objective of developing and implementing the credit risk model
Unbank credit risk model
Mar `19 - Feb `20
11 months
Datascoring
The creation of a unbank credit risk model that identifies a good customer with an 83% of precision and a 88% of sensibility.
Responsibilities & achievements
Applied statistical models based on machine learning (Random Forest, SVM, Naive Bayes, Neural Networks, KNN, K-means, PAM, among others) and classic statistical models (logistic regression, linear regression, generalized linear regression, among other techniques)
Education
Higher education in Computer Science
Agency
10-50
GMT-5
Medellin/Colombia
Core Expertise
Industries
Information services & Technologies, Electronics & Equipment, Cybersecurity & Data Protection, Data Science & Machine Learning, Energy
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Check if Luis is available