Résumé

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Employment

Feb 2022 - Now : Machine Learning Scientist @ Sky (Comcast Group)

• I'm contributing to the development, improvement and management of machine learning solutions (through optimization engines and Bayesian supervised and unsupervised analysis) for cybersecurity and anti-piracy related systems. I am involved in the following tasks:
  • Machine Learning side:
    • improving the accuracy of an object detection tool (actual: +10%);
    • developing speech recognition system with Transformers architecture and OCR for Video analysis;
    • developing knowledge graphs and clustering models for fraudulent activity monitoring over OTT network.
  • Engineering side:
    • Implementing a cloud migration strategy to automate internal processes and facilitate cross-functional collaboration among teams, leveraging microservices architecture with Docker containers and APIs (from VMs). Achieved a 30% reduction in execution time while improving logging management capabilities.
    • Code review and debug activity for my team.

June 2018 - Feb 2022 : Data Scientist @ Wealthype

• I'm contributing to the development and management of several machine learning solutions delivered either as services (via API), as products (via Docker), or as consulting projects, following CRISP-DM process in an MLOps infrastructure. Main tasks:
  • Supervised & Unsupervised analysis on structured mixed data
  • Bayesian programming
  • Dataset Enrichment and Simulation
  • Network analysis
  • Master thesis projects tutoring
  • Webapp prototyping

Feb 2016 - June 2018 : Quantitative Analyst @ AdviseOnly

• Managed a wealth management digital platform on every field of the management flow (Engagement tools, profiling, asset allocation, risk analytics and CRM). Main tasks:

  • Portfolio construction & simulation
  • Forecasting scenarios
  • Risk metrics

• Prepared report, analysis and wrote news about economics and financial thematic for financial blogs and banking institution.

Professional Certifications

Microsoft

• Microsoft Professional Program in Data Science

Hot topics: Querying and processing data, deploying supervised and unsupervised machine learning model, visualizing results and creating storytelling for data communication.

Software: Power BI, Azure ML, T-SQL, Python

Final project: Developed supervised machine learning model for predicting county-level rents in US, given socio-economic/demographic information.

• Microsoft Professional Program in Artificial Intelligence

Hot topics: Processing data, deploying deep learning and reinforcement learning model for imagine recognition and classification tasks.

Software: Azure ML, Python

Final project: Developed deep learning model (CNN) for classifying 11 types of appliances from their spectrogram, quantified by current and voltage measurements.

Deeplearning.ai

• Deep Learning

Hot topics: Deep Learning, Optimization, CNN, RNN, Structuring ML Projects

Google Cloud

• Smart Analytics, Machine Learning and AI on Google Cloud Platform

Hot topics: Google Cloud Platform, Google App Engine, Machine Learning, Big Query

Education

Fourth Brain Machine Learning Engineer Curriculum

Hot topics: Data-centric AI, AI application, MLOps, Artifical Intelligence, Machine Learning

Software: Python, Docker, GCP, Airflow, Databricks

Università degli studi di Milano - Bicocca

• 2013 -2016 : Master degree in Quantitative Finance

Hot topics: Econometrics, Investment strategies & asset allocation, Investment banking

Software: Matlab, R, Eviews, Stata, VBA, C++

Thesis: Developed a risk-based investment strategies for my master’s degree thesis, using a Bayesian statistics model strengthen by an orthogonal GARCH model for risk estimation.

• 2009 - 2013 : Bachelor degree in Economics, marketing & market analysis

Hot topics: Market-driven management, Macroeconomics, Statistics for marketing and customer clustering tecnique

Software: VBA, C++, SQL

Thesis: Synthetic ETF between financial innovation and regulatory constraints.

Technical Experience

Below is a list of the main projects i took part in.

• 2021: Developing a transactional data software solution, based on quantiative analysis, clustering and network analysis tecnique. Software: Python

• 2020: Developed a customer clustering and classification software, useful for data enrichment, artificial markets solutions and for addressing better solutions to final retail customers. Software: Python

• 2019: Developed a customer data analysis tool, integrated with machine learning algorithms, for wealth management institutions. Software: Python

• 2018: Developed digital reporting tools and risk based investment solutions. Software: Python, Matlab, Tableau

• 2017: Developed the framework of a profiling questionnaire. Software: Python, Matlab

• 2016: Developed a Web App for evaluating bond emission (yield and price) of the Italian landscape’ small cap (e.g. minibond). Software: Python, VBA

In my Github profile you'll find some of my hobby projects:

• Decision Intelligence Application: application for delivering fraud detection and clustering customers. Frontend in Streamlit, Backend with Fast API, deployed on GCP.

• Meteo Adverse Classifier: classification algorithm for predicting climate averse future conditions.

• Network Analysis Pipeline: Analysis of submarine telecommunication network via graph theory.

• Stock Market Data: tool for downloading stock market performance of the main worldwide indices.

• Accumulation Plan: tool for simulating a financial accumulation plan over the years, with performance and some other stats.

• Churn Prediction: classification algorithm for predicting churn risk for customers of an insurance company (this solution was built for a public challenge that reach 7th place on around 400 participants).

• Auto Traffic Prediction: regression algorithm for predicting hourly traffic on an interstate in the US.

Skills

I developed an agile working methodology using the following tools:

• Proficient: Python, SQL, GIT, Markdown, Google Cloud Product (Cloud Storage, Artifact, Vertex AI), Docker

• Familiar: C++, Matlab, VBA, R, Tableau, AWS, Power BI, Pelican, HTML, CSS, Bloomberg

Contact

🏡: Domodossola/Milano - Italy

📱: +393474375275

📧 : daniele.davino@live.it

Click here for a pdf version of my CV!