Massimiliano Perletti

Machine Learning:
Python, TensorFlow (Keras), Sklearn, Scipy, Statsmodels
(Gensim, OpenCV)
Data Viz:
Seaborn, Matplotlib, Plotly, Tableau, GGPlot
Data Science: Numpy, Pandas, Scrapy
Others: R, / , cypher
Reporting: $\LaTeX$, Rmd, Md, and HTML.

Data Science Background:
ML & DL, Decision Models (Optimization), Data Analysis, Data Semantics (Ontologies/LinkedData/KG), Text Mining (NLP), Time Series (Linear, Arima, UCM, KF, ML), Computer Vision

buona capcità di concentrazione e propensione ad affrontare sfide complesse (grazie a pratica Arti Marziali)
buone capacità di comunicazione e ascolto (sviluppate tramite progetti svolti in team)
problem solving (sviluppato grazie ad esperienze lavorative)

A Data Management project:
a scalable pipeline for storing meetup.com rsvp streaming data in Arango-db,
analyzing the social network, extracting statistics and visualizing (on a cool folium map!)

The sequel of the "ArMeetup" project with a Data Semantics focus:
a pipeline consisting of online json-ld Ontology population, data enrichment via various APIs, NLP processing for topic extraction, and conversion in RDF graphs for allowing further queries

Optimization, Hybrid algorithms implementation:
boosting Ant-Colony with Reinforcement Learning,
scaling Genetic Algorithm with k-means clustering.
Benchmarked on the Traveling Salesman Problem (TSP)

Predicting energy supply function for the electricity Italian market:
Functional time-series forecasting with both a statistical (Reduced Rank Regression)
and a machine learning (LSTM based) approach.

Coming Soon...

Coming Soon...