Marcus Reaiche

Marcus Reaiche

Mentor
5.0
(28 reviews)
US$25.00
For every 15 mins
53
Sessions/Jobs
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!

Portuguese, English
Eastern Time (US & Canada) (-05:00)
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

REVIEWS FROM CLIENTS

5.0
(28 reviews)
John Wue
John Wue
August 2021
Marcus always does his best to help me. And he always keeps time promises. He's a very good tutor, and I'm always happy with his work.
John Wue
John Wue
July 2021
Marcus and I have more than five sessions. He understands exactly what the professor wants and he delivers it to the students really well. He is the best tutor I have ever met. Follow Him!
John Wue
John Wue
July 2021
I feel good every time I have a session with Marcus. He is very delicate and caring. Furthermore, he refined and delivered the knowledge he knows and the results were always good.
John Wue
John Wue
July 2021
He's the real best tutor what I have met. I got 4 time sessions with Marcus. Trust him :)
John Wue
John Wue
June 2021
He's the best tutor I've ever met. He is kind and conveys the concept in great detail.
Kiya Love
Kiya Love
May 2021
Marcus is really good tutor and he make sure you understand everything about the topic and he is an expert on data science!!
Sav Parks
Sav Parks
April 2021
Marcus was super helpful and listened to all of my requirements! Good communication and quick to help. He helped modify and review my code and got it to work entirely
Kiya Love
Kiya Love
April 2021
He is the best tutor and I like how explain things in detail. He is the best in Data Science.
Kiya Love
Kiya Love
April 2021
Marcus is great tutor and he explains everything in detail. I really like how he break down everything with clear explanation!!
Kyle Wucik
Kyle Wucik
April 2021
Good explanations, fair price. Very knowledgeable and if a concept is new, it doesn't take long for him to understand how to move forward.
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
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Python
SQL
PostgreSQL
Selenium
NumPy
Pandas
Machine learning
Statistics
Scipy
Docker
Data Science
Startups
Apache Spark
Snowflake
AWS
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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.
SQL
NumPy
Matplotlib
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SQL
NumPy
Matplotlib
Pandas
Scipy
Web Scraping
Python 3
TensorFlow
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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.

NumPy
Matplotlib
Pandas
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NumPy
Matplotlib
Pandas
Scipy
Python 3
Julia
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