Alessandro Gianfelici

About

I would define myself as outgoing and creative thinker, concrete and results-driven.

Experience

• Sr Actuarial Analyst - Pricing Models and Analytics at REVO Insurance
  Oct 2024 - Present · 1 yr 9 mos

  1. Developement of actuarial pricing models and their implementation using python (fastAPI) 2. Geographical data science using python (geopandas, shapely) and postgis 3. Development of dashboards using python (quarto)

• Lead Data Scientist at msg global solutions
  Nov 2023 - Oct 2024 · 1 yr

  I have worked on two topics: 1. geographical data analysis for mobility (route matching, speed & acceleration time series, algorithms for detecting traffic sign violations and bad driving behaviours) using both open source (openstreetmap) and proprietary (HERE) data 2. GenAI solutions based on LLMs API, using langchain

• Senior Data Scientist at Swiss Re
  Feb 2022 - Nov 2023 · 1 yr 10 mos

  The team I am part of provides internal R&D services for Swiss RE AMS (Automotive and Mobility Solutions) business unit. Since Oct 2022 I have the role of tech responsible of the Vehicle Testing project.

• Data Scientist at Edison SpA
  Jul 2017 - Jan 2022 · 4 yrs 7 mos

  Design, developement and deployment of machine learning solutions for several corporate areas of Edison SPA. - Design and develop ML models in a corporate environment, using Python and cloud technologies - Design and run controlled experiments to estimate the economic benefit generated by the adoption of the machine learning model - Experience in facing stakeholders of any technical background - Building and maintaining relationships with innovative startups (within PoliHub incubator) and with the academia (Politecnico di Milano) - Experience with project management tools and techniques, expecially with the agile framework (SCRUM) Tech Stack: - Python (pytorch, tensorflow, keras, pyspark, scikit-learn) - Spark - Docker - Kubernetes - Git - MongoDB - Relational database (PostgreSQL, mySQL, Oracle, SQL server) - AWS tools (s3, ec2, eks, auroraDB)

• Quant (Pricing & Option Structuring) at Eni
  Jun 2015 - Jun 2017 · 2 yrs 1 mo

  Quantitative support for the gas portfolio activities. During the last year of my work I carried on, with an high degree of autonomy, an in depth analysis of the P&L of reseller customers (which were underperforming the rest of the portfolio). The results of this analysis lead to a change in the company pricing algorithm for these customers ($XXM€/year portfolio impact). Tech stack: 1. Python 2. Matlab 3. VBA