Summary
Overview
Work History
Education
Skills
COURSES
Languages
Timeline
Cynthia García Ybarra

Cynthia García Ybarra

Montreal

Summary

Experienced data scientist with complex data analysis and advanced statistical techniques to uncover actionable insights. Utilizes machine learning models to solve real-world problems and enhance business outcomes. Knowledge of Python, R, and data visualization tools to communicate findings effectively.

Overview

7
7
years of professional experience

Work History

Research Assistant

DataSphere Lab McGill University
11.2023 - 01.2025
  • Architected end-to-end synthetic data pipeline for tabular and NLP data, driving data science initiatives
  • Built a dynamic dashboard, improving data quality assessment efficiency by20%
  • Validated synthetic data on6 ML tasks

Data Scientist

ALGORITHIA, Grupo Salinas
01.2022 - 07.2024

Worked with NLP models to predict the number of complaints from tweets that mentioned verified accounts of Bank Azteca for the area of operation, improving client service by20%

  • Object detection with ResNet for Creative Standard determines if digital content meets the required standards.
  • Pioneered Mexico's first Objective Financial Health Detection system for Mexican credit bureau, analyzing 1M+ credit profiles to generate objective financial wellness scores

Data Analyst

NTT DATA
11.2021 - 01.2022
  • Implementation of Key Risk Indicators (Booking Controls) for Citi Banamex (Global Policy), which creates two new indicators that monitor the correct operation in the process of transactions.

Data Analyst

Elogia México, Data
05.2021 - 11.2021
  • Analyzed advanced Google Analytics tracking to capture user behavior across15 key web pages, resulting in actionable insights that increased visitor retention by25% and improved overall engagement metrics by30%
  • Designed and deployed10+ automated marketing dashboards that increased campaign ROI by25%, organizations and optimization of campaigns (MEATME, FIRA Barcelona Teka)
  • Automated email marketing processes using Mittum, streamlining campaign delivery to100K+ subscribers and improving open rates by35%
  • Implementation of Algorithms to Design Recommendation Systems that boosted opportunities

Finance Analyst

Valmer, Mexican Stock Exchange
04.2019 - 05.2021
  • Developed and innovated mathematical financial models for the valuation of structure notes, improving by10%
  • Calculating higher reliability valuations implementing the volatility process of Dupire and local volatility, increasing efficiency by20%
  • Calculated the value at risk by developing a matrix with a thousand scenarios based on each instrument's risk factors
  • Leader of the project; re-engineering of the file Monte Carlo to improve the control of inputs and outputs of the structured notes and reduce50% the time to generate the price vector

Intern

Central Bank of Mexico
06.2018 - 01.2019
  • Social Service in Office Budget Analysis
  • Support in preparation of a statistical analysis of the budget for the last ten years (2009-2018) of Banco de México
  • Implemented time series models that improved budget forecasting accuracy by85%, contributing to strategic planning initiatives

Education

Master of Science - computer science research

Mila - Quebec AI Institute / Université Laval, 6666 Rue Saint-Urbain, Montréal, QC H2S 3H1
05-2025
  • Graduation with Dissertation, 2018: v Adversarial Random Forest for Synthetic Electronic Health Records generation.

Data Science and Information Internship

INFOTEC CDMX, Av. San Fernando 37, Toriello Guerra, Tlalpan, 140
12.2022

Bachelor of Science - Actuarial Science

Universidad Nacional Autónoma De México, Ciudad Universitaria, CP 04510, México CDMX
06.2018
  • Graduation with Dissertation, 2018: Game Theory: An Application to Housing Credit.

Skills

  • Programming Languages: Advanced: Python, Visual Basic, Matlab; Intermediate: SQL R
  • Frameworks and Tools: Advanced: Scipy, Scikit-learn, Pandas, Numpy, Data Studio; Intermediate: Bertopic, NLP, Keras, Luig, Google Tag Manager, Google Analytics, Compute Canada, Databricks, Confluence Databricks, T; Basic: Tensor, Google Ads, Facebook Ads, BI tools expertise,

COURSES

  • Calcu Québec - Premier pas sur les serveurs de calculs2023.
  • Udemy - Deploying AI & Machine Learning Models for Business2022.
  • WorldQuant University - Applied Data Science II: Machine Learning & Statistical Analysis2021.
  • Ironhack Bootcamp - Data analytics, Mar2021.
  • Stanford University - Machine Learning2020.

Languages

English
Full Professional
French
Professional Working
Spanish
Native or Bilingual

Timeline

Research Assistant - DataSphere Lab McGill University
11.2023 - 01.2025
Data Scientist - ALGORITHIA, Grupo Salinas
01.2022 - 07.2024
Data Analyst - NTT DATA
11.2021 - 01.2022
Data Analyst - Elogia México, Data
05.2021 - 11.2021
Finance Analyst - Valmer, Mexican Stock Exchange
04.2019 - 05.2021
Intern - Central Bank of Mexico
06.2018 - 01.2019
Mila - Quebec AI Institute / Université Laval - Master of Science, computer science research
INFOTEC CDMX - , Data Science and Information Internship
Universidad Nacional Autónoma De México - Bachelor of Science, Actuarial Science
Cynthia García Ybarra