Simon C.

Deployment of a Data Science project on GCP

Monitoring and Maintenance of ML pipelines

Automation of CI and CD pipelines

Aquila is a consulting firm specializing in Computer Vision, NLP, and Machine Learning.

Missions for various clients in data science and data engineering.

- Analysis of financial news in English to detect controversies

- Construction of indicators using NLP techniques (word2vec) to detect ineligible professional training

- Smart City Project: integration of a feature to calculate the coverage rate of a geographical area by surveillance cameras

Internal Project:

- Implementation of a CI pipeline with pytest, gitlab CI, flake8

Python, Pyspark, Gitlab, unit tests, docker, AWS

Python training for data science:

- Quick review of Python (variable types, logical conditions, for and while loops, function definition, lambda functions)

- Importing libraries and basic class concepts (instances & methods)

- Presentation of different concepts around data science (AI, Machine Learning, Big Data, ...)

- Introduction to numpy, scipy, matplotlib packages

- Introduction to the pandas package for time series data manipulation

- Time series analysis (decomposition into trend and seasonality; usual stationarity tests) using the statsmodels package

- Presentation of unsupervised Machine Learning + quick implementation using the scikit-learn package (K-means/Hierarchical Clustering/DBSCAN algorithm)

- Presentation of supervised Machine Learning and different concepts (train/test split, cross-validation, gradient descent, predictive performance measurement)

- Implementation of supervised algorithms (KNN, linear regression, logistic regression) using scikit-learn

- Introduction to ensemble learning methods with random forests and/or boosting