**** ******* **. #****, ** Jolla, CA *****

858-***-****

adw4h3@r.postjobfree.com

github: jorgerag8

JORGE ACEDO

SUMMARY 4 years of experience as a data scientist and data analyst roles in multiple industries, generating solutions leveraging statistical and machine learning models. In-depth knowledge of research methodologies; data extraction and cleaning; applied quantitative modeling; and insights presentation. Skilled implementing supervised and semi-supervised models ranging from linear and non-linear regressions, support vector machines, random forests, feed forward neural networks, convolutional neural networks, and transformers.

COMPUTATIONAL

SKILLS

Certifications

Azure Data Scientist Associate

AWS Certified Cloud Practitioner

Python - PyTorch, Pandas, SciPy, Selenium, NumPy, Nltk, Matplotlib, Scikit-learn. R -dplyr, ggplot2, glmnet, Matchit.

SQL

PROFESSIONAL

EXPERIENCE

Banorte July 2021 – July 2022

Data Scientist / Behavioral Scientist

- Conducted causal regression analyses on behavioral experiments to identify business opportunities and potential treatment effects for customers, attracting over 5,000 new accounts each month.

- Research and implementation of scalable machine learning models to detect customers with high potential treatment effects.

- Prepared comprehensive reports and cost-benefit analyses of experiment results to provide actionable insights for the business. Deep Dive September 2019 – July 2021

Data Scientist

- Developed a semantic textual similarity tool using transformer architecture to analyze over 10 years of anthropologic interviews in rural Mexico. This enabled the identification of common patterns and insights in the data.

- Implemented neural networks using spatial, socioeconomic, and business data to predict churn probability in point-of-sales systems. Resulting in improved customer retention strategies for our clients.

- Conducted regression analysis to predict house prices, leveraging both house attributes and market trends alongside spatial information for greater accuracy.

- Designed and implemented integrated cloud-based architectures to collect, transform, and synthesize performance indicators of bank tellers, enabling real-time insights for management decision-making.

- Created automated interactive dashboards that displayed real-time analysis of client information, improving efficiency and providing actionable insights. SAI Law & Economics April 2018 – August 2019

Data Analyst

- Utilized time series forecasting techniques to analyze car sales trends based on market fluctuations, commercial policies, and economic activities.

- Efficiently collected, integrated, and cleansed both structured and unstructured data for comprehensive analysis.

- Contributed to the creation and editing of 'The SAI Report', a specialized monthly report that provided insights into key topics affecting North American businesses.

- Elaborated presentations synthesizing key results and analysis insights utilizing visual representations.

- Created high-quality presentations highlighting critical analytical results and key takeaways.

Centro de Investigación Económica, ITAM September 2017 – March 2018 Research Assistant - Dr. Shaun McRae

- Utilized NLP techniques to identify fraudulent gas stations with a 0.76 AUROC using random forest modeling.

- Conducted data mining on user-generated reviews for over 10,000 gasoline stations in Mexico.

- Created publication-quality graphical representations of data and analysis results including maps, Sankey diagrams, radar charts, and area charts.

- Collected and refined datasets to address research questions and provide insights.

ACADEMIC

BACKGROUND

University of California San Diego July 2022 – June 2023 Master of Science in Computational Social Science

GPA: 3.96/4 Rank: 1st in class.

CSS Inaugural Excellence Fellowship Award

- Offered to one student per class by the Admissions Committee based on the student’s background and application.

Relevant courses:

- Advanced Machine Learning Methods

- Neural Networks and Deep Learning

- Deep Learning for Natural Language Understanding

- Scientific Data Analysis and Statistical Learning Instituto Tecnológico Autónomo de México August 2013 – May 2018 Bachelor of Arts in Economics

GPA: 3.36/4

EXTRACURRICULAR

ACTIVITIES

Vice President, Student Representation January 2016 – December 2016

- Organized a student’s trip to Washington D.C. to visit and speak with Mexican representatives of international organizations such as the World Bank, the IADB, and the OECD.

- Assembled periodic to discuss real-world economic news and their relationship with the theoric concepts learned in class.

Cooking, running, tennis, soccer, and soccer analytics.

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