In my first steps as a freelancer, I worked on projects related to automatic control, embedded systems, IoT, and intelligent systems. From the beginning of 2021, I decided to focus on Data Science. This subfield of artificial intelligence allows me to learn a lot about other fields that are not related to engineering. I'm glad to know that all my analytical skills, statistical knowledge, and programming skills are really helpful in achieving my goal of becoming an expert data scientist.
As a data scientist, I have experience in tasks such as:
✔️ Exploratory data analysis (EDA) and visualization (Dash/Plotly, Shiny, Tableau)
✔️ Getting and cleaning data
✔️ Clustering (k-means, DBSCAN, hierarchical, spectral clustering)
✔️ Neural Networks (ADALINE, perceptron, feed-forward NN, deep NN, convolutional NN, recurrent NN, Hopfield NN)
✔️ Classification algorithms (desition trees, logistic regression, gradient boosting, SVC, random forest, k-nearest neighbors, and so on)
✔️ Regression algorithms (DT, LR, GB, SVR, RF, k-NN, and so on)
✔️ Dimensionality reduction (PCA, SVD)
✔️ A/B testing
✔️ Time series forecasting (ML, DL)
✔️ SQL and NoSQL databases (MySQL, PostgreSQL, Cassandra, Neo4j)
✔️ Statistical inference
✔️ Reproducible research
I can work in other fields that are not directly related to data science such as:
✔️ Fuzzy Logic (Mandani, Sugeno models)
✔️ Bioinspired optimization (PSO, Ant Colony Optimization, Artificial Bee Colony, Firefly Optimization, Dragonfly Optimization, Grey Wolf Optimizer) and Linear Programming
✔️ Autopilots for Unmanned Aerial Vehicles
✔️ C/C++ programming for Arduino and Microcontrollers
✔️ Python, R, MATLAB, Java, and Bash programming languages
I prefer to use open-source tools like R or python to work. These programming languages remain on the cutting edge thanks to their active and supportive communities. I also use MATLAB a lot due to its power in math.
Mostly available from 14:00 to 20:00 GMT-5 from Monday to Friday.
La comunicación con Andrés fue excelente. Al final entregó satisfactoriamente el trabajo con todos los requisitos solicitados y de manera autónoma resolvió los conflictos que iban surgiendo al momento del desarrollo.
Lo recomiendo para trabajar con él, esta muy atento a responder a las inquietudes aun después de finalizar el trabajo.
- Measurement, storage, and analysis of atmospheric pollutant concentrations, to track the sources of air pollutants
- Develop an environmental monitoring platform based on 2 UAVs (quadcopters)
- Teach courses on tools for data analysis and dimensionality reduction
Master in Sciences of Engineering
Tecnológico de Monterrey, Mexico 2017 - 2019
Electronics and Telecommunications Engineering (Bachelor's degree)
Universidad de Cuenca, Ecuador 2011 - 2017
Certified LabVIEW Associate Developer
Equidistributed Search+Probability Based Tracking Strategy to Locate an Air Pollutant Source
A probability-based tracking strategy is proposed for guiding two cooperative unmanned aerial vehicles (UAVs) within a quest area to find an atmospheric pollutant source. This implies deploying algorithmically two phases: exploration and exploitation. During the exploration phase, each vehicle follows a trajectory based on plane coordinates generated from a Hammersley sequence. The navigation trajectories are smoothed by an TSP solver and a cubic spline planning algorithm.
Evaluating the Mindwave Head-set for Automatic Upper Body Motion Classification