Hi, I'm Florents!
Friends call me Flo, while foes don't call me at all.
I was born years ago at a very young age. After living the first 5 years of my life in Albania in this house, me and my family moved to Greece and have been living here ever since.
I use mathematics and machine learning to analyze & explain data. When the machine doesn't learn, I do it the old-fashioned way: I use my brain and do my own learning instead.
I have research, working and leadership experience across the entire data supply chain: from modeling and applying machine learning algorithms to engineering and managing production deployments of big data pipelines. I have consulted many international companies in the areas of predictive analytics, market analysis and general data strategy; mainly in the telecoms, retail and advertising industry. Occasionally, I also teach corporate courses & seminars on software engineering, data analysis and big data systems engineering.
Currently, I am an instructor at O’Reilly Media, teaching the SQLite for Data Scientists Online Live Training.
In case you think you have an interesting data science project we could collaborate on, feel free to send me an e-mail to discuss.
My skillset and broad experience make me comfortable both with the command line and in business meetings. In technical terms, I work mainly with the Python web (Flask/Django) and data ecosystem (NumPy, Pandas, Scikit-Learn, Keras, TensorFlow) and with the Java/Scala one when it comes to working with Spark. As for databases I have deployed and managed most of the popular ones: MySQL, PostgreSQL, MongoDB, Redis, ElasticSearch (the complete ELK stack) and Spark.
I am also a strong supporter of the concept of active citizenship; I am actively involved in voluntary initiatives whenever my effort and skills can be valuable to my fellow citizens.
In my free time I try to eliminate free time. In particular, I try to read as many books as possible; I'm mostly interested in strategy, history, philosophy and politics.
Feel free to contact me:Mail, Facebook, LinkedIn, Twitter, or Github