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, 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
✔️ 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 on Saturdays from 8 am to 4 pm GMT -5.