I lead the Personalization team at Microsoft working on Reco Systems, NLP, Computer Vision, and other ML solutions.

In addition, I help people understand and apply AI. Whether you want to switch your career to Data Science, land a job in a big tech company, grow your Data Science career, or apply AI to your business, I can help you.

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Blog: https://bit.ly/miguelgfierro
GitHub: https://github.com/miguelgfierro
Microsoft Recommenders: https://github.com/microsoft/recommenders
Publications and conferences: https://github.com/miguelgfierro/publications

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Miguel Fierro

Window Finance

Building solutions for the Decentralized Finance market.

Applied Data Scientist

Sami

- First Data Scientist at Sami, with the mission of mapping business problems and impactful solutions. 
- Responsible for managing, organizing and developing the Data Science projects, building the full pipelines from data extraction to delivery of results.
- Built models in Growth Marketing (Lead scoring, Social media source conversion forecasting), and other areas (churn prediction, OCR, RFM analysis, etc).
- Some impacts and results: with Lead scoring, version 1 increased conversion in 3x in the first month.
- Stretch-role as a Tech Manager of the Data Science team.
- Mentoring of a Jr Data Scientist.
- Tech stack: Python, SQL, DataBricks, AWS bucket S3, etc.

Senior Data Scientist

Hospital Israelita Albert Einstein

- Project: Model for predicting employee absenteeism caused by mental or behavioral disorders.
- Imbalanced Classification model.
- Tech stack: R, SQL, Docker, Azure, Python, etc.

Data Scientist

Safra

- Projects from multiple areas: Anti-money laundering data analysis, Investigation technology, Juridic, Broker, etc.
- Some solutions: 
  - Risk group identification model (with name similarity analysis)
  - Data correction model (for corrupted files, or typos, using NLP)
  - Scoring system for account opening: backtests
  - Broker alerts with SAS
  - Database creation, with webscraping
- Tech stack: Python, R, SQL, SAS, etc.

Anti-Money Laundering Analyst / Software Engineer

Estalajadeiro

AI Integration Lead

Weduu - Top Line Mining

- Built predictive models for retail 
- Projects: Sales prediction models, recommendation systems, etc.
- Impact: Sales prediction model increased the forecasting performance for most of the products.
- Tech stack: Python, SQL, GCP BigQuery

Data Scientist, Jr

Dom Bosco High School BIlingual Program

Assistant Professor of Mathematics and Physics

Oficina do Aluno

Como professor de Química, Física e Matemática, devia transpor o conhecimento do conteúdo para alunos de Ensino Fundamental e Ensino Médio, aplicando exercícios, aulas, plantões e, por vezes, aulas particulares.

Teacher

Data Scientist and Applied Mathematician | Python, R | Mathematics | Machine Learning | Deep Learning | MLOPs | GCP | Increased lead conversion up to 3x in 1 month

Applied Mathematician | Data Scientist with years of experience in building AI solutions for various areas, such as Startups, Hospitals, Banks.

Experienced with :
- various applications: financial indicators forecasting and estimation, lead conversion prediction, churn analysis, sales prediction, risk group identification, sentiment analysis, etc.
- various Machine Learning and AI fields and areas: Imbalanced Classification, Regression, Deep Learning, Clustering, NLP, Computer Vision, Time Series Forecasting, etc.
- teaching and mentoring: mentoring of Jr Data Scientists, tech talks, teaching Math and Physics in schools, etc.

Example of impact: I've built a lead scoring model that increased a startup conversion rate up to 3x in the first month.

Currently, I'm doing my Masters of Science in Computational and Applied Mathematics, at the Friedrich-Alexander Universität, in Erlangen, Germany.
Also, I hold a Bachelor of Applied Sciences in Applied and Computational Mathematics, with a minor in Statistical Economics. Thesis: "Support Vector Machines: Classification, Kernels, Regression and Optimization" (full remarks).

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Miguel Fierro

Pedro Blöß Braga

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