● 7.5 years of experience with Software Development / 2.5 years of experience with Machine Learning
● Great programming skills in: Python, R, Scala.
● Experience on designing and implementing soft real time, data-intensive, event-driven and message-based applications;
● Strong educational background in Business, Bigdata and Statistics;
Tools, libraries and algorithms:
▕ Classification, Regression, Clustering, Regularization, Lasso, Elastic net, Neural Networks, Decision Tree, Nayve Bayes, Kmeans, LDA, Hierarchical Clustering
▕ SciPy (Matplotlib, pandas and numpy), Keras, Tensorflow, XGBoost, H2o, NLTK, gensim, Scikit-Learn, TensorFlow, R, Ml, Mlib, Jupyter Notebook, Pandas, Numpy,
▕ Hadoop, Spark and Hive, Hfds, Apache Spark 1.6 e 2.2 (Pyspark, Scala), Storm, Hadoop, Flume, Sqoop, Docker, SQL, MySQL, MongoDB, Graphs, Neo4j, Redis, ElasticSearch, Python, Scala, R, Pyspark.
▕ Web Scraping: scrapy, beautifulsoup.