I am a freelancer based in Munich, Germany. I serve as Start-Up Chile and Ampair Mentor advising on technology and strategy. Until June 2019, I was Lead Data Scientist at Minodes, a Telefónica NEXT company operating in the retail and transport analytics space. I founded Skysense in 2014 as CTO, a pioneering startup in the field of autonomous charging stations for aerial robots. I hold a Ph.D. in Computer Science earned at the University of Trento for my research on processing data with uncertainty. I interned at IBM T.J. Watson Research Center and the Qatar Computing Research Institute, working on data stream processing and data cleaning. I have co-authored eight publications in major data mining conferences including SIGMOD, VLDB, and EDBT.
Recently, I served in the Program Committee of the 2nd International Workshop on Big Mobility Data Analytics (BMDA), EDBT 2019. I am an active reviewer of the Data Mining and Knowledge Discovery journal. In July 2019, I joined the series of Data Series Management seminars at the Schloss Dagstuhl institute.
Approach your problems with the tools of machine learning, formalize solutions and derive actionable insights linked to a Return on Investment (ROI) analysis.
Design, deployment and operationalization of ETLs, development of microservice and serveless architectures, automation of data-driven products.
Desig of innovative AI and data-intensive applications, development of complete prototypes from research to deployed service instances.
My areas of expertise are location-based services, mobile cellular network analytics, big data processing, spatiotemporal data mining, software architectures for IoT and robotics. Ability to manage teams and projects thanks to my prior roles as CTO and Team Lead. I have experience with these tools and technologies:
Kanban and scrum, version control, issue trackers, wiki/documentation platforms, CI/CD, Atlassian services
Machine learning and data mining algorithms, experience with Scikit-learn, TensorFlow, Seaborn, Pandas, NumPy, Joblib, JupyterLab
Batch and streaming data processing, experience with Cassandra, PostgreSQL, Parquet, HDFS, Hadoop, Spark, Airflow, Celery, Fabric, Docker, Amazon EMR, S3, Lambda, CloudWatch
Python, C/C++, Java, Scala, SQL