● Collaborative Leadership: Partner with Data and Architecture teams to guide project direction, ensuring alignment with business objectives.● Machine Learning Operations: Employ machine learning, Python, FastAPI, and CI/CD tools (Docker, AWS CodePipeline) to improve client data services.● Cloud Infrastructure: Develop AWS cloud infrastructures using serverless technologies (AWS Lambda, DynamoDB) and Infrastructure as Code (Terraform) for scalable, cost-effective solutions.● Data Engineering: Create efficient ETL processes with tools like Airflow, enhancing data management and services.● Third-Party Services Integration: Integrate advanced third-party services like LLMs to enhance data and software solutions.● Analytics Dashboards: Skilled in creating insightful analytical dashboards using PowerBI, improving data visualization and decision-making processes.

● Collaborative Teamwork: Engaged with the Data Team on NLP and analytics projects, managing workflows and leading scrum meetings to complete projects.● NLP Model Development: Developed a topic modeling algorithm for analyzing HR surveys, enhancing understanding of human resource management.● Data Analysis and Visualization: Implemented ETL processes to analyze large datasets, supporting business requirements and visualizing KPIs for strategic decision-making using Power BI and other visualization tools.● Software Development: Developed and deployed microservices with Python and FastAPI, optimizing production operations using Docker and AWS.

● Machine Learning Development: Creation of supervised and unsupervised machine learning models with Python. Proficient in SQL, Airflow, and data cleaning, contributing to developing efficient microservices for improved data processing and analysis.● Real-Time Solution Implementation: Involved in deploying data-driven solutions for real-time applications, emphasizing achieving low latency response times and maintaining optimal performance.● Scalable & Secure Solutions: Contributed to developing scalable and secure solutions, adhering to best coding practices. Effectively employed AWS and Docker to support cloud and production deployments, ensuring robust infrastructure.● Data Analysis and Visualization: Implemented ETL processes to analyze large datasets, supporting business requirements and visualizing KPIs for strategic decision-making using Periscope and other visualization tools.

● Data Extraction and Analysis: Extract and analyze historical advertising investment datafor customers, providing valuable insights into spending trends and effectiveness.● Content Segmentation: Content segmentation with NLP algorithms to improve theprecision of targeted marketing initiatives.

Develop financial and statistical analyses to support the decision-making process across the office, create dashboards to visualize KPIs performance, and make executive summaries of the information related to the office performance.

Support senior researchers on an innovation management project, make statistical analyses with Excel and Stata, and make literature research.