Data scientist


I am an experienced data scientist with a diverse professional background in designing and developing end-to-end ML and data science solutions. I have worked with companies such as Microsoft and Uber, where I have implemented deep learning forecasting tools for time series analysis, performed MLops to deploy and serve models, and collaborated with other data scientists to design user segmentation and recommendation systems.

One of my major achievements was successfully designing, developing, and deploying a feature that generated automatic insights digests for customers with personalized recommendations and key metric changes, reaching over 300,000 users while working with the Clarity Insights Team at Microsoft Vancouver. I have also handled Big Data queries on HPCs and Spark, using Python and C#, generating reports and visualizations to internal stakeholders while analyzing user retention and behavior.

My academic experience as a Visiting Researcher at Dalhousie University focused on researching automatic summarization of online news discussions using a transformer architecture. This work culminated in a paper accepted to Intellysis 2021.

In addition, I have taught and provided instructional support in courses such as Deep Learning, User Interface Design, Non-Relational Databases, and Data Structures. I hold an M.Sc. equivalent in Computer Science Engineering from Universidad Técnica Federico Santa María, where I ranked 1st out of 20 graduates, and a B.Sc. in Computer Science and Engineering from the same institution.

I am the recipient of several honors and awards, including the 2022 School of Engineers Best Graduated Student in Chile, the 2021 Universidad Técnica Federico Santa María Best Computer Science Graduated Student in Chile, the 2019 Emerging Leaders in the Americas Program EduCanada Research Scholarship and the 2019 Seeds for the Future Huawei Scholarhip. I am passionate about data science and always seeking new opportunities to innovate and make a meaningful impact in the field.


As a Data Scientist, I am looking for a challenging role in a dynamic and innovative organization that values creativity, critical thinking, and problem-solving skills. My ideal job would provide opportunities for me to continue developing my technical skills and expertise while also allowing me to make meaningful contributions to the organization's goals.

Specifically, I hope to work with a team of experienced and motivated professionals who are passionate about using data-driven approaches to solve complex problems. I expect my new job to offer opportunities to work on a variety of projects, including designing and developing end-to-end machine learning solutions, handling big data queries, and implementing deep learning forecasting tools.

I would also like to have the chance to collaborate with other data scientists and stakeholders across the organization to develop and deploy effective data-driven strategies. I am excited about the prospect of working in an environment that encourages innovation and experimentation, where I can utilize the latest tools and technologies to drive impactful results.

Overall, I am seeking a role that offers challenging and engaging work, opportunities for growth and development, and a supportive and collaborative team environment. I believe that with my skills, experience, and passion for data science, I can make a valuable contribution to any organization, and I am excited to take on new challenges and achieve meaningful results in my next role.

Employment Preferences
Expected Base Salary

**0,000 CAD

Expected Hourly Rate

** CAD/hr

Academic Degree

Total Professional Experience

4 years

Startup Experience

no experience

Big-Tech Companies

3 years

Enterprise Experience

3 years
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