Diego Moreno

Python and Machine Learning Developer

Self-employed•  June 2023 - July 2024•  Mexico City, Mexico

Implemented full-stack solutions for time series forecasting in pharmacy business catalogs, utilizing Python, React, FastAPI, Redshift PostgreSQL, and version control through GitHub. Developed forecasting models and APIs to connect frontend and backend systems, ensuring seamless data flow. Leveraged AWS infrastructure, including EC2 instances, ECS services, Linux, and Redshift PostgreSQL, for scalable and efficient deployment. Collaborated closely with clients to understand business requirements and customize forecasting solutions accordingly. Analyzed sales data, transforming it into actionable insights using Excel, and Power BI.

Data Scientist

Frubana•  December 2020 - June 2022•  Bogotá, Colombia

Applied machine learning algorithms to analyze and interpret complex sales datasets. Developed and deployed predictive models for product segmentation and features engineering, to improve forecast accuracy. Conducted data preprocessing, feature engineering, and model evaluation using Python libraries such as scikit-learn, and TensorFlow. Extracted, cleaned, and transformed data from various sources using SQL, Python, and pandas.

Data Analyst

GHT•  May 2019 - December 2020•  Bogotá, Colombia

Created interactive dashboards and reports using Power BI and Qlikview to visualize order allocation, contributing to a 10% increase in overall order fulfillment. Collaborated with business stakeholders to understand their requirements and translate them into analytical solutions. Conducted exploratory data analysis to identify trends, patterns, and anomalies, informing strategic business decisions. Automated data retrieval and reporting processes, reducing manual effort by 25% and improving efficiency.

Business Analyst

Cencosud•  July 2017 - April 2019•  Bogotá, Colombia

Developed and maintained detailed project documentation, including business requirements, functional specifications, and user stories, ensuring clarity and alignment throughout the project lifecycle. Conducted comprehensive analysis of business processes and ERP systems to identify opportunities for improvement and optimization, resulting in a 15% increase in operational efficiency KPI. Collaborated with cross-functional teams to drive consensus on project scope and objectives, ensuring successful project delivery within budget and timeline constraints. Facilitated workshops and meetings with stakeholders to gather and document business requirements for software development projects, ensuring alignment with stakeholder needs and objectives.