Juan Diego Gutierrez Cortez Economics'Degree l Machine Learning Enginner l Data

Data Engineer

Explorandes

May 2024 - Current (2 years 6 months)

• Orchestrated the development of a comprehensive suite of machine learning enhanced ETL pipelines utilizing AWS services such as S3, EC2, Lambda, and Glue. These pipelines significantly improved the efficiency of data processing workflows, increasing processing speeds by 30% and enabling real time data insights that drove key decision making across various departments. • Designed and deployed advanced machine learning models using TensorFlow, PyTorch, and Scikit Learn to optimize customer segmentation and marketing strategies. This initiative reduced manual data processing tasks by 40%, while simultaneously improving the accuracy of predictions regarding customer behavior and future market trends, allowing for more targeted and successfu

Data Scientist

Upwork

May 2024 - Current (2 years 6 months)

• Developed and optimized machine learning models for financial institutions, leading to a 35% increase in customer retention and cross-selling by analyzing key behavioral and transactional data, enabling targeted marketing strategies and personalized recommendations. • Designed and implemented AI-driven Forex trading algorithms with a 2.5 risk/reward ratio, significantly boosting trading profitability by applying advanced machine learning techniques for predictive analysis and market trend adaptation. • Built and managed scalable ML pipelines on AWS, reducing model deployment time by 50% while ensuring efficient, high-volume data processing through end-to-end automation, including training, testing, and monitoring of models. • Engineer

Machine Learning Engineer

G2i Inc

Mar 2024 - Current (2 years 8 months)

• Spearheaded the design and implementation of deep learning models to optimize developer team pairing processes, using PyTorch to create models that improved matching accuracy by 30%. This led to a significant boost in client satisfaction and reduced team turnover rates, fostering long term business relationships and improved project outcomes. • Automated developer evaluation processes through the application of Natural Language Processing (NLP) techniques, leveraging Python to analyze developer resumes and code repositories. This automation reduced manual assessment time by 40%, ensuring that technical and soft skill evaluations were both efficient and highly accurate. • Developed and deployed AIdriven solutions for monitoring develope

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Data Scientist

BancoPichincha

Mar 2023 - Apr 2024 (1 year 2 months)

• Led the transformation of the bank's financial data processing infrastructure by introducing machine learning models that improved customer segmentation and behavior prediction. These models, built with Scikit Learn, boosted the effectiveness of targeted marketing campaigns and resulted in a 55% increase in conversion rates. • Designed and deployed predictive models to forecast loan default risks, allowing the bank to better manage credit risk and reduce the rate of nonperforming loans. These models leveraged historical customer data, improving the accuracy of risk assessments and enhancing the bank's overall financial stability. • Automated real time financial market data collection using Python Based web scraping tools such as Seleni

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Data Scientist Intern

GreenTree Capital

Feb 2022 - Apr 2023 (1 year 3 months)

• Developed machine learning models to identify and evaluate real estate investment opportunities, focusing on asset repositioning strategies. By analyzing property data and market trends using Scikit Learn, these models increased the profitability of investment decisions by 15%, helping the company capitalize on optimal investment opportunities in a highly competitive market. • Automated large scale data analysis workflows, utilizing Python to streamline the processing of extensive real estate portfolios. This automation reduced the reliance on manual processes by 50%, freeing up analysts to focus on high level strategic initiatives and improving overall operational efficiency. • Conducted detailed macroeconomic analysis of global real

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Data Scientist Intern

MOSSI

Jan 2021 - Feb 2022 (1 year 2 months)

• Automated the extraction, transformation, and loading (ETL) of sustainability and sales data using Python and SQL, which increased the reporting speed by 40%. This automation allowed for faster and more accurate tracking of key sustainability metrics, contributing to the company's long term environmental goals. • Developed predictive analytics models to analyze customer purchasing behavior and product preferences, leveraging these insights to tailor marketing strategies for sustainable beauty products. As a result, the company saw a 25% increase in customer retention, particularly among consumers with a preference for eco-friendly products. • Designed and implemented Power BI dashboards that tracked the performance of MOSSI's sustainab

Juan Diego Gutierrez Cortez

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Juan Diego Gutierrez Cortez

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