Summary
Overview
Work History
Education
Skills
Key Profiencies
Timeline
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Roberto Ammirata

Berlin

Summary

I’m a tech generalist with experience across backend, machine learning, blockchain, frontend and finance. I’ve built Machine Learning models from scratch, worked as a Quant applying math and code to financial markets, developed SaaS products, and even led blockchain initiatives.I have experience building projects from scratch, scaling them, and delivering them to market — from mobile apps and web apps to whole infrastructures.

Overview

6
6
years of professional experience

Work History

Data Scientist

Accenture
10.2021 - 03.2024
  • Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets.
  • Leveraged mathematical techniques to develop engineering and scientific solutions.
  • Discovered stories told by data to present information to scientists and business managers.
  • Modeled predictions with feature selection algorithms.

Sr. Quantitative Analyst

UBS
06.2020 - 10.2021
  • Single-handedly improved all facets of a data sourcing process used by the bank
  • The new process is such that: The data is available 5 business days faster every month, 1600 FTE hours are saved every year, and the error count has been reduced to 0
  • Coordinated successful migration of a data framework with over 17,000 lines of code from R to Python
  • Created simple statistical algorithms and more complex machine learning based modules in R and Python to enhance, estimate, and check quality of financial data

Sr. Data Scientist

PricewaterhouseCoopers (PwC)
07.2019 - 06.2020
  • Promoted after first year for exceeding goals and expectations
  • Provided mentorship to members of the team and routinely presented development status and plans to senior management
  • Worked with stakeholders to define the scope of projects for the analysts team
  • Developed and delivered a high accuracy machine learning ensemble model that classified hospital related job descriptions

Experienced Data Scientist

PricewaterhouseCoopers (PwC)
03.2018 - 07.2019
  • Achieved promotion after four months based on project successes
  • Helped create NLP deep learning models with Python and TensorFlow that automate classifications of company descriptions and inter-company agreements
  • These models saved the company an estimate of $7.4M million over three years
  • Saved a total estimate of 20,000 FTE hours by developing an unsupervised learning algorithm to classify and understand unstructured text data
  • Assisted in the development of a SQL database architecture for the financial flows of a traveling company

Associate Data Scientist

PricewaterhouseCoopers (PwC)
03.2018 - 07.2018
  • Increased team efficiency by writing Python and SQL scripts to automate everyday tasks such as visualizing, cleaning, and analyzing unfamiliar data sets
  • Leveraged Python and SQL to extract useful information from large unstructured and structured data sets

Education

Bachelor - Mathematics

University of California, Santa Barbara (UCSB)
06.2019

CFA - undefined

CFA Institute

Skills

  • Python
  • R
  • SQL
  • Statistical analysis
  • Deep learning
  • Javascript
  • React & React native
  • Nodejs

Key Profiencies

  • Python
  • R
  • SQL
  • Machine learning
  • Statistical analysis
  • Bilingual - English and Spanish

Timeline

Data Scientist

Accenture
10.2021 - 03.2024

Sr. Quantitative Analyst

UBS
06.2020 - 10.2021

Sr. Data Scientist

PricewaterhouseCoopers (PwC)
07.2019 - 06.2020

Experienced Data Scientist

PricewaterhouseCoopers (PwC)
03.2018 - 07.2019

Associate Data Scientist

PricewaterhouseCoopers (PwC)
03.2018 - 07.2018

CFA - undefined

CFA Institute

Bachelor - Mathematics

University of California, Santa Barbara (UCSB)

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Roberto Ammirata