Michele Dallachiesa, Ph.D.

My name is Michele Dallachiesa, and I am a freelancer specializing in Data Products and AI. I am based in Munich, Germany. [🥨](https://www.dictionary.com/e/emoji/pretzel-emoji/#:~:text=The pretzel emoji 🥨 depicts,twisted%2C” like a pretzel.)

How can I help you? I have a strong track record in starting and overseeing projects, forming and heading teams, collaborating with partners, building impactful solutions, and supporting open-source. 🍏

Why me? Experience with over a dozen clients and partnering agencies in the US, EU, and UK. 💫

<aside> 📨 Need help? Let’s talk: Book a call | LinkedIn | Email

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🚀 Services

I can assist you in identifying opportunities, generating ideas, creating prototypes, and implementing solutions with Data Engineering, Business Intelligence, and AI.

<aside> 🧑‍🚀 I rely on a network of top-notch experts in Data Engineering, Business Intelligence, Data Science, and Machine Learning for large projects. As a team, we have a history of working together efficiently to deliver exceptional quality to our clients.

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Services

👨‍🔬 Short bio

Michele has been a consultant since 2019, implementing solutions for service recommendation, contact centre forecasting, marketing attribution, out-of-home advertising, text classification, robots autonomous charging, urban traffic optimization, and other AI services for the governments of the United Kingdom and Hong Kong, and private clients including Google, NASA, Stanford University, Huawei, Taxfix, Wayfair, Telefónica, and others.

Previously, he served as a lead data scientist and senior data engineer at Minodes, a Telefónica retail location intelligence company, since 2017. He was the founder and CTO of a robotics startup between 2014 and 2017, with more than 30 international clients. He earned his Ph.D. between 2009 and 2014 in computer science at the University of Trento, Italy. He visited the IBM T.J. Watson Research Center and the Qatar Computing Research Institute as a research associate. He co-authored ten papers in top-tier publications on data management, including SIGMOD, VLDB, and EDBT.

🛠️ Technology stack

• Data science, ML, AI: Time series processing, machine learning, deep learning, AI, Spacy, Hugging Face Transformers, Scikit-learn, PyTorch, Pandas, NumPy, JupyterLab, Apache Zeppelin, Matplotlib, Seaborn, AWS Forecast.
• Data engineering, BI: Static and streaming data processing, Cassandra, PostgreSQL, PostGIS, Parquet, HDFS, Hadoop, Spark, Snowflake, Dask, Joblib, NetworkX, Neo4J, Kafka, Elasticsearch, Apache Airflow, Celery, Fabric, Docker, Flask, Alembic, AWS (EC2, EMR, S3, Lambda, Cloud Watch), GCP (AI Platform, Compute Engine, Storage, Dataform), Looker, Metabase.
• Programming, query languages: Python, Java, Scala, C/C++, SQL, Cypher, Typescript, Node.js, Vue, yFiles (diagramming).
• Project management, documentation: Jira, Confluence, Bitbucket, GitLab, GitHub, Git, Latex.

🫐 Trusted by

I have a proven record of delivering high-quality analytical and data-driven services, as evidenced by my previous customers. Selected clients: