Experience

Surprise.com

• United States
• Internet Publishing
• 100 - 200 Employee

• Lead Data Scientist

  • Aug 2022 - Present



Preply

• United States
• Technology, Information and Internet
• 700 & Above Employee

• Data Scientist

  • Jul 2020 - Jun 2022

  Preply is a global online marketplace for language learning. • Collaborated with the Marketing chapter delivering a variety of analytical solutions for CRM, including but not limited to: a new customer segmentation, a churn predictive model and analyzing what were the drivers of customer retention. Stack: Python, R, Amazon Redshift, Snowflake, Apache Airflow • Developed a forecasting model of business metrics. Stack: Python, Prophet, Databricks • Responsible for the development and productionization of different machine learning models using Databricks, which included integrating the Spark jobs into the ETL, and implementing automatic monitoring. Stack: Python, Spark (PySpark), Databricks, Snowflake, Apache Airflow Show less



Cyance, part of Expandi Group

• United Kingdom
• Marketing Services
• 1 - 100 Employee

• Senior Data Scientist

  • Oct 2019 - Jul 2020

  Cyance is a B2B intent data company. • Responsible for maintaining and improving the company’s intent ranking based on a TF-IDF + clustering approach. • Stack: Python, Spark (PySpark), Amazon AWS (EMR & S3). Cyance is a B2B intent data company. • Responsible for maintaining and improving the company’s intent ranking based on a TF-IDF + clustering approach. • Stack: Python, Spark (PySpark), Amazon AWS (EMR & S3).



N-iX

• Malta
• IT Services and IT Consulting
• 700 & Above Employee

• Senior Data Scientist

  • Apr 2017 - Sep 2019

  N-iX is one of the biggest IT outsourcing companies in Eastern Europe. • Carried out analytics and data visualization of a taxi fleet management platform’s demand and supply data, in order to identify opportunities for improving the dispatch algorithm. Stack: R, Shiny, Oracle • Designed and developed the recommendation engine of an app, which included matching the users' preferences to the products' attributes, as well as solving a combinatorial optimization problem (knapsack problem), using a dynamic programming approach. Stack: Python, PostgreSQL • Fine-tuned a demand planning model, in order to optimize employee scheduling in the food service industry. Worked with Facebook's time series forecasting library Prophet. Stack: Python, SQL Server Show less



Mercanto

• United Kingdom
• Software Development
• 1 - 100 Employee

• Lead Data Scientist

  • Dec 2016 - May 2018

  Mercanto is a start-up that develops AI-based personalization solutions for email marketing. • Was responsible for designing and deploying a large-scale recommendation system for an email marketing platform with a focus on the fashion retail industry, combining state-of-the-art algorithms in collaborative filtering and content-based filtering. • Lead a team of two other Data Scientists who collaborated in different components of the solution (NLP, etc.). • Stack of technologies used included Python, Spark (PySpark), Cassandra, PostgreSQL, Amazon AWS (EMR & S3), Supervised Learning, Collaborative Filtering and NLP. Show less



Foris

• Chile
• Information Technology & Services
• 1 - 100 Employee

• Data Scientist

  • Jul 2011 - Jun 2014

  Foris is a start-up that provides AI-based solutions for Higher Education institutions. • My main responsibility was to design and build from the ground a system to predict and explain university drop-out at an individual level (i.e. estimate who would be more likely to drop-out and why), using machine learning and statistical techniques. This software has been implemented in 30+ universities throughout Latin America. In this role I lead a team of 3 other people (data scientist, software developer, consultant). • Delivered an analytical solution for a client in the healthcare sector which increased total revenue by 2%, by predicting non-attendance in booked medical appointments and retargeting call center efforts accordingly on patients more likely to not show up. • Designed and developed a platform which provides employers and individuals information about salaries for different roles in the Chilean market (similar to PayScale). The process included cleaning and transforming millions of raw, unstructured job ads data into structured and statistically reliable information. • Main language used: R. Show less



Scotiabank

• Canada
• Banking
• 700 & Above Employee

• Advanced Analytics

  • Oct 2010 - Mar 2011

  Scotiabank is one of the largest banks in Canada and the Americas. • Worked within the Marketing department in a variety of customer analytics initiatives spanning churn modeling, propensity-to-buy analysis, customer lifetime value (CLV) and customer segmentation, as well as providing additional analytical support to internal business decision. • Strong use of SAS. Scotiabank is one of the largest banks in Canada and the Americas. • Worked within the Marketing department in a variety of customer analytics initiatives spanning churn modeling, propensity-to-buy analysis, customer lifetime value (CLV) and customer segmentation, as well as providing additional analytical support to internal business decision. • Strong use of SAS.