English:
Proficient
Colombia
UTC -05:00
America/Bogota
Senior data scientist with strong data engineering and software development background. Electronics engineer with a Masters in IT
I'm experienced in data data scientist with a strong experience in software development and data engineering. I've have a strong experience applying data engineering and ML techniques to detection of security incidents, fraud, scam and evaluating risk. In addition to my data science experience I have more than 5 years of experience in cyber security world where I have to evaluate risk, detect and manage fraud and cyber incidents. I've created communities in Facebook to teach programming and datascience and IT aiming to help people to transition a carer in Dev or data. I love creating products and buildings I love learning about diverse topics, this gives me and edge when understanding data coming from different domains. My qualifications are: Electronics engineer and Masters of IT.
Want to hire this engineer?
Check if David is availableExpertise
Years of commercial development experience
10 years of experience
Core technologies
Other technologies
Project Highlights
Creation of dashboards to visualize
Jan `22 - Mar `23
1 year
Internal product Adintelo
Creating of dashboads in data studio to visualize data of pedestrians accessing a physical space. I created dashboards to visualize gender, time, age. The dashboard included filters
Responsibilities & achievements
Build dashboards, understand and clean the data
Fertilizer prediction system using ML
Sep `21 - May `22
8 months
Agrosavia (The research and tech arm of the Colombian ministry of Agriculture )
This project involved creating a prediction system to process soil lab samples from farms. The system currently helps the Agricultural engineers to manage the process of providing an adequate set of fertilizers and their quantity for a specific crop for thousands of farms in Colombia every month. The system reduced the engineer's manual work by using AI to make a prediction of the result which had to be reviewed before approval. Data: Soil lab analysis for the nutrients (levels of Nitrogen, calcium, magnesium ) and the set of fertilizers recommended by an agricultural engineer. The model: A gradient boosted regressor, it was deployed in docker (as a micro-service) using Kubernetes I coded and trained a machine learning model to predict and deployed it as a micro service in the Kubernetes cluster
Responsibilities & achievements
Analise the data Lead the team of developers, fix bugs, design and train machine learning models. Deploy microservices using fastAPI. Test model performance and accuracy
Monitoring system for power lines in remote areas in Colombia
Aug `21 - Jun `22
10 months
Isa - transelca
This project involved building an Artificial intelligence system capable of detecting smoke, fire and intrusions 2km around the power line. This work required integrating 2 PTZ cameras with a 30x zoom, a weather station, solar panels, batteries and mobile network . In addition, the system also uploads the data to a database and makes it accessible from a web interface and a mobile application.
Responsibilities & achievements
Test accuracy of the model, data collection, integration of APIs,develop python code and automate daily activities
cyber Data anlyser to detect risky vulnerabilities
May `19 - May `21
2 years
Australian Postal corporation
A designed from the scratch a data analyzer for vulnerability. Data ingestion and parsing of the data Code of the business logic to detect anomalies, ML algorithms to detect anomalies
Responsibilities & achievements
Data model design, code data ingestion, develop complex SQL queries and view, develop data visualization dashboards. Requirement gathering and testing. Data cleaning
Insident detector using customer data
Mar `18 - Apr `19
1 year
Telstra
Development of ML Models, rules and statistical models to detect anomalies in the data.
Responsibilities & achievements
develop code python, test, use a specific language to develop rules and detection algorithms, test of pipelines and track bugs
Data modeling for to detect to properly feed malicious event detector
Jan `18 - Nov `18
10 months
Telstra
Telstra has SOC service used which collects data from different customers and analyses it to detect security incidents. This project required the exploration and analysis of more than 20 data sources, Feature engineering and understanding the best set of data to capture parse and store.
Responsibilities & achievements
understand the different data sources, Code parsing algorithms Test and understand the full data pipeline Meet with the different stakeholders to understand the requirements
Analysis of cyber security, scam and fraud incidents
Oct `16 - Nov `17
1 year
Chemist warehouse Australia
Analysis of cyber security, scam and fraud incidents, risk evaluation and management though closure.
Responsibilities & achievements
Analysis of cyber security, scam and fraud incidents, risk evaluation and management though closure.
Data analysis of smart meter data using unsupervised machine learning
Jan `16 - Jul `16
6 months
Monash Australia
Exploration of the data, Using different clustering techniques like k-means and techniques and feature engineering Visualization of the data.
Responsibilities & achievements
Code data cleaning algorithms Code unsupervised machine learning clustering algorithms Write reports
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
Want to hire this engineer?
Check if David is available