I am a freelance full-stack Data Scientist based in Berlin, Germany. With over five years of experience in the industry and a solid background in research, I can help you through the entire process of building AI and Data products.

 

Michele Dallachiesa

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I am a freelancer based in Berlin, 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 will join a series of Data Series Management seminars at the Schloss Dagstuhl institute.

 

Consulting Services

 
 

DATA SCIENCE

Approach your problems with the tools of machine learning, formalize solutions and derive actionable insights linked to a Return on Investment (ROI) analysis.

DATA ENGINEERING

Design, deployment and operationalization of ETLs, development of microservice and serveless architectures, automation of data-driven products.

PROTOTYPING

Desig of innovative AI and data-intensive applications, development of complete prototypes from research to deployed service instances.

Professional Experience

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:

 

Project Management

Kanban and scrum, version control, issue trackers, wiki/documentation platforms, CI/CD, Atlassian services


Data Science

Machine learning and data mining algorithms, experience with Scikit-learn, TensorFlow, Seaborn, Pandas, NumPy, Joblib, JupyterLab


Data Engineering

Batch and streaming data processing, experience with Cassandra, PostgreSQL, Parquet, HDFS, Hadoop, Spark, Airflow, Celery, Fabric, Docker, Amazon EMR, S3, Lambda, CloudWatch


Programming Languages

Python, C/C++, Java, Scala, SQL