Michele Dallachiesa available

Michele Dallachiesa

Data Scientist, Data Engineer, Research Engineer

available
Profileimage by Michele Dallachiesa Data Scientist, Data Engineer, Research Engineer from Munich
  • 80807 Munich Freelancer in
  • Graduation: Ph.D. in computer science
  • Hourly-/Daily rates:
  • Languages: English (Full Professional) | Italian (Native or Bilingual) | Spanish (Limited professional)
  • Last update: 21.01.2020
KEYWORDS
PROFILE PICTURE
Profileimage by Michele Dallachiesa Data Scientist, Data Engineer, Research Engineer from Munich
SKILLS
  • Data Science and Machine Learning: machine learning and data mining algorithms, experience with Scikit-learn, TensorFlow, Seaborn, Pandas, NumPy, Joblib, Jupyter Lab.
  • Data Engineering: static and streaming data processing, experience with Cassandra, PostgreSQL, Parquet, HDFS, Hadoop, Spark, Apache Airflow, Celery, Fabric, Docker, Flask.
  • Location Intelligence: indoor and outdoor localization methods, cellular network data analytics, urban traffic modeling and optimization, experience with SUMO (Simulation of Urban MObility).
  • AWS services: EMR, S3, Lambda, CloudWatch.
  • Programming languages: Python, Java/Scala, C/C++.
  • Graph Mining: Neo4J, NetworkX.
  • Robotics: experience with ROS (Robot Operating System).
PROJECT HISTORY
  • 01/2019 - 12/2020

    • Technology (EDBT)
  • PC member
  • PC member. Serving in the Program Committee of the International Workshop on Big Mobility
    Data Analytics (BMDA) in conjunction with the International Conference on Extending Database
    Technology (EDBT) 2019, 2020. December 2018 - present

  • 05/2017 - 06/2019

    • Minodes GmbH
  • Lead Data Scientist, Senior Data Engineer
  • Berlin, Germany. Delivering in-store and city-scale behavioral data analytics for use cases in retail.
    May 2017 - June 2019

    List of achievements:

    * Coordinated the development of a GDPR-compliant analytics service for out-of-home advertising
    based on the movements of people at city-scale, using the logs of the Telef´onica cellular
    network, and running on AWS EMR clusters. The service has been successfully tested in the
    Berlin and Munich city areas.
    * Delivered an analytics platform based on a micro-service architecture (Airflow/Celery) to profile
    people and their movements at city-scale using programmatic advertising data sources with
    successful tests in the Berlin city area.
    * Redesigned the existing WiFi analytics pipeline as a series of orchestrated Spark jobs, greatly
    simplifying the complexity of the code base and increasing the quality of the localization
    accuracy by 11% with hyperparameter optimization at no extra model complexity.
    * Implemented a novel method to improve the accuracy of sequences of predictions by combining
    classifiers with Hidden Markov Models (HMMs), improving the localization accuracy of the
    WiFi analytics pipeline by 32%.
    * As team lead, I had the privilege to hire and manage a talented team of four. I implemented
    the best practices of agile development including daily standups, sprint planning, review,
    retrospective, backlog refinement, regular 1:1 meetings, and adopted the OKRs framework.
    Having joined the company right after its acquisition, I built bridges and coordinated the
    collaborations between my team and the other groups within the Telef´onica family.

    The company has ceased its operations due to a reorganization triggered by Telef´onica.

  • 05/2014 - 03/2017

    • Skysense Inc.
  • CTO and Founder
  • List of achievements:

    * Supervised the design, development, and commercialization of a variety of products, including
    indoor and outdoor charge stations for drones, companion miniaturized battery chargers,
    and remote-controlled hangars. These products required the development and integration
    of complementary software services tailored for our specific needs, including the web management
    dashboards, the robotics/IoT communication backbone, the vision-based precision
    landing module, and the web-based mission planner for beyond-visual-line-of-sight (BVLOS)
    operations.
    * Managed our Intellectual Property (IP) assets, including the documentation of the hardware
    production schemes and test processes, the documented source code, and the user manuals. I
    have contributed to several inventions applied to the field of aerial robotics. This work also
    resulted in a US patent.
    * Management of operations, including handling of orders, supply chain, production, testing,
    logistics, worldwide deliveries, technical support.
    * Drafting and reviewing of NDAs, employment contracts, consulting contracts, collaboration
    agreements, and patent applications.
    * Delivered project proposals including executive summary, project overview, technical requirements,
    list of assets, milestones, financial terms, and payment terms.
    * In this position, I hired and managed a group of exceptional employees, contractors, and partner
    companies involved in research, development, production, operations, and IP protection.
    Headcount of five with spikes of up to ten units. With clear documented processes and responsibilities,
    I adopted the best practices in agile project management in an international and
    distributed team setting.
    * My contributions led to contracts with more than thirty international clients, including CIA,
    NASA, NIH, Google X, Parrot, and Stanford University.

    The journey ended due to diverging opinions on integrity and transparency.

  • 10/2011 - 06/2013

    • GraphInsight
  • CTO and Founder
  • to explore large networks with millions of nodes and connections. More than 600 users from the
    academy and industry. October 2011 - June 2013

  • 08/2012 - 11/2012

    • IBM Watson Research Center
  • Research Intern
  • NY, USA. Investigated collective classification algorithms for uncertain network graphs. Supervised
    by Dr. Charu Aggarwal. August 2012 - November 2012

  • 02/2012 - 04/2012

    • Qatar Computing Research Institute at Qatar Foundation
  • Research Associate
  • Designed a general framework to support user-defined data cleaning semantics on large datasets.
    Supervised by Prof. Ihab F. Ilyas. February 2012 - April 2012

  • 09/2011 - 12/2011

    • IBM Watson Research Center
  • Research Intern
  • NY, USA. Introduced methods for uncertainty management in the System S data stream processing
    service. Supervised by Dr. Kun-Lung Wu. September 2011 - December 2011

  • 07/2008 - 09/2010

    • Reactive Search Srl
  • Software Engineer and Founder
  • analytics tool to investigate the internal network dynamics of modern SAT solvers in collaboration
    with Microsoft Research Cambridge. July 2008 - September 2010

  • 09/2008 - 10/2009

    • Machine Learning and Intelligent OptimizatioN (LION) Group, University of Trento
  • Research Fellow
  • Trento, Italy. Implemented a distributed reputation system as part of the BIOlogically inspired
    NETwork and Services (BIONETS) European project. September 2008 - October 2009

  • 10/2006 - 01/2007

    • IT Security Department, Lutech SpA
  • Software Engineering Intern
  • and developed a C/C++ VoIP tapping module for intelligence operations to recognize, reconstruct
    and record H.323, SIP, SCCP, and RTP voice data streams. October 2006 - January 2007

TIME AND SPATIAL FLEXIBILITY
I am based in Munich, available to travel.
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