Marcus Reaiche

Marcus Reaiche

ABOUT ME
Passionate about solving problems and learning
Passionate about solving problems and learning

Hi! I am an experienced Data Scientist and Python programmer that works with Pandas, Numpy, Scipy, Matplotlib, Pydeck, SQLAlchemy, Snowflake, and Selenium, among other libraries, on a daily basis. I also have experience with AWS through the console and interacting with it using boto3 and awswrangler. I have a Ph.D. in Mathematical Optimization and love to solve challenging problems. Let me know how I can help you!

()
Joined August 2020
EXPERTISE
7 years experience | 6 endorsements
I work with Python on a daily basis to develop solutions to risk management and data science problems in a financial institution.
I work with Python on a daily basis to develop solutions to risk management and data science problems in a financial institution.
4 years experience | 2 endorsements
I've been developing mathematical programming models to solve real-world financial problems in a financial institution since 2017.
I've been developing mathematical programming models to solve real-world financial problems in a financial institution since 2017.
6 years experience
3 years experience
SOCIAL PRESENCE
GitHub
data_structures_and_algorithms_in_js
Data Structures and Algorithms in JavaScript Course by Beau Carnes - FreeCodeCamp
JavaScript
0
0
api-ms-project2-header-parser
HTML
0
0
Stack Overflow
21 Reputation
0
0
2
EMPLOYMENTS
Data Scientist
FreightFlows
2021-10-01-Present

Port Polygons Project: Built port polygons by applying advanced clustering algorithms to AIS data binning. Created port anchorages and...

Port Polygons Project: Built port polygons by applying advanced clustering algorithms to AIS data binning. Created port anchorages and berths allowing a complete understanding of a port call. Main tools: Python, pandas, SciPy, NumPy, scikit-learn, DBSCAN, GeoPandas, h3, NetworkX, JupyterLab, awswrangler, Snowflake, PostgreSQL.

Visualizations: Created interactive visualizations of port polygons, port activity, and vessel activity. Visualizations were often used to support business decisions and sales requests. Main tools: pandas, PyDeck, Plotly, Matplotlib, JupyterLab.

Jobs Speed-Ups and AWS ECS Cost Reduction: Sped up analytics jobs by identifying their bottlenecks. Used multiprocessing to speed up parts of the code that were nonvectorizable. Significantly reduced AWS ECS costs by cutting running time.

Scraper Project: Developed web scraper to fetch metadata for vessels, ports, berths, anchorages, and berth calls. Main tools: Selenium, BeautifulSoup4, lxml, asyncio, aiohttp, awswrangler, Snowflake, Airflow, Docker.

Ballast and Laden Cutoffs Project: Applied unsupervised machine learning algorithms to calculate the vessel’s ballast and laden cutoffs. Applied KDE and Gaussian Mixture to reported draft measurements to estimate its probability distribution when the vessel is in ballast vs holding cargo. Apply Kolmogorov-Smirnov test to select the ”best” pairs of distributions. Main tools: pandas, scikit-learn, GaussianMixture, KernelDensity, SciPy.

Python
SQL
PostgreSQL
View more
Python
SQL
PostgreSQL
Selenium
NumPy
Pandas
Machine learning
Statistics
Scipy
Docker
Data Science
Startups
Apache Spark
Snowflake
AWS
View more
Lead Teacher
Le Wagon
2020-10-01-Present
I am one of the lead teachers of the Data Science Bootcamp of Le Wagon in Rio de Janeiro.
I am one of the lead teachers of the Data Science Bootcamp of Le Wagon in Rio de Janeiro.
Python
SQL
NumPy
View more
Python
SQL
NumPy
Matplotlib
Pandas
Scipy
Web Scraping
TensorFlow
View more
Data Scientist / Risk Management
BNDES
2006-04-01-2022-01-01

I worked as a Data Scientist / Risk Analyst in the Brazilian Development Bank where I developed quantitative solutions to solve proble...

I worked as a Data Scientist / Risk Analyst in the Brazilian Development Bank where I developed quantitative solutions to solve problems in risk management.

Python
NumPy
Matplotlib
View more
Python
NumPy
Matplotlib
Pandas
Scipy
Julia
View more