Agustín Jofré Millet

Hello, I'm Agustin, a computer science engineer specialized in Big Data & AI. My work consists of designing and developing efficient and scalable data management systems, as well as ensuring that data is accurate, complete, and available in real-time to end-users.

Resume

Key Skills

Here are a few technologies I've been working with recently.

BigData

Advanced knowledge of programming languages such as Python, Scala and Java.

Experience in Big Data tools like Hadoop, Spark, Databricks, Snowflake and Azure Data Factory.

Knowledge of data querying languages like SQL and NoSQL.

Ability to design and manage large and complex databases.

Knowledge of data mining techniques and data analysis.

Experience working with cloud storage services like Amazon S3 and Azure Blob Storage.

Ability to design and manage complex data pipelines using tools such as Apache Airflow and ADF.

AI

Advanced knowledge of programming languages such as Python, R, and C++

Experience in designing and training machine learning models using techniques like neural networks, SVM, and decision trees.

Knowledge of natural language processing (NLP) with Transformer and speech recognition techniques

Ability to work with data analysis tools like Pandas and NumPy.

Experience in designing and developing chatbots and virtual assistants, using TensorFlow.

Interpersonal Skills

Collaborating with diverse groups to achieve shared goals is something I excel at.

Strong leadership skills have enabled me to lead teams to successful project completion within deadline and budget constraints.

With experience in project management, I can effectively manage tasks, resources, and timelines.

Adaptability is one of my strengths, as I can quickly learn new skills and technologies to stay current in a rapidly changing industry.

Objective evaluation of information to make informed decisions is a strength of mine as a critical thinker.

Highly organized, I can manage multiple priorities and projects simultaneously.

Data visualizations

Power BI

Tableau

Matplotlib

Plotly

Chart.js

Excel (charts and pivot tables)

Where I've Worked

Data Engineer Treelogic

Jul 2020 - Present

Prepare the big data infrastructure to be analyzed by Data Scientists. Design, build, integrate data from various resources, and manage big data.

Big Data & Analytics Consultant Tokiota

Jul 2019 - Mar 2020

Develop, build, and test architectures (such as databases and large-scale processing systems). Data acquisition and development of dataset processes for data modeling and mining. Recommend ways to improve data efficiency and quality.

Some Things I've Built.

Featured Projects

C library for RTC time measurement (Linux).

Directory synchronization in C using inotify (Linux).

Daemon in C that periodically checks if the directories are synchronized and synchronous if necessary (Linux).

Home automation system with FPGA Spartan 3. Using VHDL and C.

Supermarket queue with S3C44B0X microcontroller under RTOS.

Firmware layer development (RS-232, IIC,IIS, RTC multitasking application under µC / OS-II.).

Activity recognition in the elderly (Bachelor thesis), with beagleBone Green microcontroller and H3LIS331DL acceleration sensor. Project carried out with MQTT, Python, JavaScript, React and mySQL.

Design and implementation of an online gaming system in C using sockets (client-server) in Linux.

Filtering images in a distributed system using MPI. Developed in C on Linux.

Creation of topologies with DHCP protocol using virtual machines of the User-Mode-Linux (UML) type.

DNS server configuration in Linux.

IP routing and socket programming for IPv4 and IPv6 compatibility (UDP and TCP protocol). Developed in C.

Deployment of a perimeter firewall and address translation mechanism (PNAT).

Digit recognition. Applied models (Neural Networks, SVM and Logistic Regression.(Python)

Azure Data Factory, data copy pipeline from an on-premise SQL to a cloud storage.

Integrate Databricks architecture with RStudio with Databricks-connect.

Automation of VM power on/off with Azure Data Factory.

Cosmos DB RU autoscaling, with Azure Function and Azure Data Factory.

Development of ETL framework in Python with Databricks notebook, Delta Lake and AWS S3.

Study on the relationship of world plastic production with education, in R.