Matías Vásquez Orrego Email & Phone Number

Santiago, Cl

Santiago, Santiago Metropolitan Region, Chile

Santiago, Región Metropolitana De Santiago, Chile

Santiago, Región Metropolitana De Santiago, Chile

The role involved working with labelers, data analysts and sales personnel to extract, process, and sold traditional markets transactional data per category to important supplier companies.● Achived an 80% reduction in labeling total time from 2 years to 4.8 months of labeling by scaling up the labeling process▹Developed a classification model with recurrent neural networks and deep learning to classify untagged products for each category using tensorflow▹Reduced the number of products required to train the classification model using Pareto analysis and K-means algorithms▹Implemented the algorithms and the model using AWS Sagemaker, ECS, Lambda, EventBridge, and python● Improved the labeling tool based on Google Sheets with AppScript. Fixed the data losses that the tool had and optimized loading times from hours to minutes▹Implemented periodic meetings with the labeling team in order to explain doubts about the tool and to raise errors▹Created historical tables in the MySQL database to record each change made in the production tables through triggers▹Optimized queries and created indexes in the MySQL database to reduce loading times● Created on my own initiative a mail alert system for data extraction failures. This reduced delays in client deliveries by identifying issues in advance.▹Developed configurable t-test automation using Scikit-learn and email alert service using the Google Gmail API in Python. ▹Deployed the system using Docker, AWS ECS and AWS Lambda.

Santiago, Región Metropolitana De Santiago, Chile

The role involved collaborating with different areas to identify opportunities for using data-driven decision-making to improve team performance.● Created business intelligence PostgreSQL database and dashboards that provided stakeholders with valuable insights and enabled informed decision-making across the organization▹Conducted interviews with operations, sales, and finance teams to understand their data needs▹Designed datamarts to address the identified questions▹Developed ETL processes to load data into the database using python packages pandas, pymongo, sqlalchemy, and airflow▹Deployed the ETL processes with Docker, CircleCI, AWS ECS, AWS Batch and AWS Eventbridge▹Created dashboards using Data Studio to visualize the data and provide daily insights● Achieved a 6% increase in sales margin by creating a simple pricing application. This application simplified the pricing process, resulting in a more efficient workflow and improved profitability ▹Developed a process for reading prices from purchase invoices, and utilized multiple price scrappers to compare our purchase prices with our selling prices in a structured manner, using Python packages pandas and requests▹Deployed the system using Docker, CircleCI, AWS ECS, AWS Batch, and AWS Eventbridge. A prototype front-end was implemented in Google Sheets● Achieved a reduction in losses due to expired products and fulfillment issues by forecasting demand for each product and maintaining a constant stock rotation▹Developed a demand forecasting model using ARIMA, including a loop for reducing stock based on current inventory levels. Automated purchases from suppliers were also implemented using Python requests through suppliers' web API● Conducted a thorough analysis of operational metrics and their correlation with customer churn rates to determine areas of focus for improvement. Based on the findings, we were able to implement targeted strategies to increase client retention

Santiago, Región Metropolitana De Santiago, Chile

The role involved collaborating with different areas to identify opportunities to improve the operational process.● Achieved the automation of multiple recurring tasks requested by customers via email▹Developed an Extreme Gradient Boosting (XGBoost) model to classify the requested tasks▹Automated tasks such as creating backup databases, generating new AWS EC2 instances, etc ● Assisted in identifying opportunities for optimizing server applications by implementing a low-cost server monitoring platform based on open-source tools▹Implemented the platform using Prometheus, Grafana, and Loki in Docker containers within an AWS EC2 instance

Santiago, Región Metropolitana De Santiago, Chile

The role involved collaborating with various teams to develop innovative products aimed at enhancing Komatsu's operations.● Developed algorithms that detected stationary conditions in the electrical signals of operating electrical motors. These algorithms were crucial in the detecting prominent faults system of the mining truck● led the purchase of a real-time emulator for the control system of the 930 mining truck series, and collaborated on the development of system simulations. This system was critical for improvement research and maintenance of control cards

The role focused on studying the inverter card for the electrical motors of the 930-E4 mining truck, which formed the basis of my university thesis.

The role involved programming PLCs to replace the relay circuit on an electrical motor test bench developed by the innovation team.

Electrical Engineering

Basic And Secondary Education