Identifies relevant data sources and sets to mine for client business needs.

Uses algorithms and models to mine big data, perform data and error analysis to improve models; analyzes and interprets data for trends and patterns.

Collaborates with engineering and product development teams to propose solutions and strategies.

Acted as a part of the Data & Insights team at this 300M+ funded hyper-growth scale-up, building out the AI system on the platform. Created a satisfaction model from scratch to identify unsatisfied users on the platform. The model was deployed to AWS and both Looker and Streamlit dashboards were used to communicate the output to various stakeholders.

Developed a Grafana dashboard with RedShift data source was used to visualize the AB tests on the productionalized model.

Created a model that significantly improved the company's capacity to enhance user experience while saving costs. Using Hugging Face, I built out an NLP model in record time to identify the Language, Sentiment and Topic of user feedback despite limited amount of data.

Built, using Django and TensorFlow, a machine-learning grading system which automatically evaluates open-ended questions in schools.

Acquired data, through qualitative and quantitative analysis, as well as unbiased user interviews, to guide the engineering process.

Built scalable full stack Deep Learning system applied to qualitative data (text); lead the experimentation and development of scalable NLP models to deliver production-ready solutions.

Developed machine learning models for cancer detection, based on a novel cancer detection approach to improve model performance; the models showed improved sensitivity by 34%, 21% and 15% for breast, colorectal and pancreas cancers respectively.

Collaborated with engineers, designers and developers to build Web platforms for a range of a clients.

Mentored junior engineers as an Educator in the Data Science and Data Analytics programs; guided his trainees through the industry's best practices by translating concepts and terminology from data science, machine learning and data analytics into easy-to-digest curriculum.

Strategically planned and delivered assigned projects and the curriculum learning progressions.

Effectively trained students which have managed to take on Director positions at start-ups, join top 3 world ranked Universities and work for the financial institutions of Wall Street.

Collected and analyzed 2.5 million social media posts to identify key public opinion trends and patterns, while providing valuable analytical insight to help stakeholder’s decisions.

Conducted behavioral segmentation with quantitative and qualitative data using clustering techniques, by applying Unsupervised Machine Learning techniques; automated the data mining processes with Python for faster and more accurate results.

The present findings were published in several national Spanish newspapers.

Built a machine-learning based solution to streamline the company's consumer payments.

Built custom Deep Learning OCR models which read the information stored on physical receipts; achieved 96% in character recognition accuracy.

Worked in an interdisciplinary team with strong engineering practices, which continuously tested the analytical models for error proof results.