Serg Masís

I'm a Data Scientist in agriculture with a background in entrepreneurship and web/app development and the author of the book "Interpretable Machine Learning with Python". Passionate about Machine Learning interpretability, responsible/ethical AI, decision/cognitive sciences, behavioral economics, and causal inference.

I'm pleased that my recently published book has five stars in Goodreads and 4.8 in Amazon, as well as garnered the following accolades: #1 Most Wished For, #2 Best Seller, #1 New Release and Best A.I. Books of All Time by Book Authority. To learn more about my book click here.

What I Do

Analytics & Visualization

I wield statistical tools and methods to derive insights from data. As a web designer in a previous life, I'm a visual communicator by nature. I find the best ways to let the data do the storytelling.

Deployment & Evaluation

As a former webmaster, I put a lot of care into deployment procedures and monitoring performance. For machine learning models, it is critical to adhere to strict procedures and constantly monitor model performance.

Predictive Modelling & Interpretation

I am comfortable with numerous machine learning techniques, including: regression, classification, clustering, causal inference, and dimensionality reduction problems; and model interpretation.

Management, Writing & Speaking

I have managed projects and teams since 2006. This includes defining scopes, executing plans, technical writing, troubleshooting endlessly, mentoring, and engaging with stakeholders. It also includes speaking in board rooms and, more recently, speaking at conferences.

Affiliations

Resume

15+ years experience

Experience

2020-
Packt Publishing

Author

Wrote the book titled Interpretable Machine Learning with Python for Packt, a UK based publisher

2020-
Syngenta

Climate & Agronomic Data Scientist

Syngenta is a leading agriculture company helping to improve global food security by enabling millions of farmers to make better use of available resources.

2019
Formlabs

Data Scientist | Systems Analyst Fellow

Formlabs is a 3D printing technology developer and manufacturer specialized in making desktop stereolithography printers.

• Examined data warehouse for data properties and quality issues as well as missed opportunities.

• Surveyed business stakeholders to deconstruct common business reporting, metrics, and key performance indicators.

• Wrote a “State of Data” report and executive-level presentation which highlights best-performing areas as well as concrete recommendations and prioritized strategy to improve existing processes and metrics. Including best strategy for leveraging behavior data to customer clustering.

• Predicted 3D printer failure with cascaded gradient boosted decision trees for my summer data science practicum.

• Used customer behavior data to improve understanding of life time value for financial planning and analysis office.

• Found discrepancies between different data sources for sales data and reconciled them with a new engineered view.

2015 - 2017
Shuflix

Head of Product Development | Co-Founder

Shuflix is a search engine that combines the power of cloud computing with principles in decision-making science to efficiently expose users to new places and events around them.

• Built entire engine using big data cloud infrastructure and machine learning techniques to assist decision making that managed to become the 2nd largest search engine for places and events offering 4.5 million items/day

• Incubated for 2 terms at Harvard Innovation Lab, and 1 term at Yale Entrepreneurial Institute where acquired many business, startup, project management and design thinking skills

• Finalist at Harvard President's Innovation Challenge 2017, Harvard's most prestigious business competition

2013 - 2016
Winning Poker Network

Webmaster

WPN is a 17-year old company that manages many brands in the online gaming industries including Americas Card Room, now the 4th largest online poker room in the world.

• Installed and monitored a statistics engine to display sales funnel and other data to inform new marketing plans, HR policies, development and business strategies which helped grow company during my tenure.

• Developed automated reporting system that gathered the team’s work progress metrics and website statistics to alert stakeholders about project statuses and priorities reducing up to 2 hours/day in manual work.

• Designed and implemented new software deployment; as a result, testing and monitoring procedures were reduced from hours to minutes despite the introduction of new tiers of approval from management.

• Led a team to expedite all website project requests and correct bug fixes with custom-built tools.

2011 - 2013
SafeT, Inc

Mobile App Developer | Client-Side Architect

SafeT was a personal command center that assists users in any type of emergency through real-time coordination with large datasets of current events, social networks and medical networks.

• Programmed the client side for both Android & iOS.

• Trained and mentored a junior programmer.

2010-2013
T++

Product & Brand Developer | Founder

T++ was the first bubble tea shop in Costa Rica, focused on local innovative flavors, art and community outreach.

• Introduced product successfully to the country where 2 locations opened within first year and was featured on national news media frequently.

• Leveraged customer behavior with sales analytics and loyalty program and social media analytics to increase monthly sales and brand awareness.

• Created a hub for emerging artists to showcase and sell their fine art. Several are now well known in the country.

2009-2011
Global Gaming Labs

Project Manager | Online Marketing Consultant

• Devised production of audiovisual and web marketing materials to improve sales and promote the products.

• Performed digital marketing campaigns management and analytics for partners and clients.

2004-2009
SIDI

Director of Web Development

SIDI was a large call center that operating a dozen sports betting brands including Justbet and Guardian Guarantee.

• Integrated and maintained a fully automated Customer Relationship Management system that was used by all sales and customer service agents that featured sophisticated workflows and VoIP integration with custom-built modules.

• Performed ETL regularly on purchased datasets for mass mailing and other marketing initiatives.

• Analyzed web stats in relation to CRM metrics and financials on a regular basis to derive business insights.

• Led a team to transition in record time from one costly and ineffective software platform, whose license was about to expire, to another platform allowing the company to save millions of dollars and to continue operations.

2002-2004
Outcoding Inc.

C# Software Developer

Outcoding is a nearshore outsourcing company.

• Developed in-house reporting, customer service and game importing systems for a back-office system in use for several sportsbooks

• Designed and implemented an interface module that tied different components designed by other team members.

2002, Winter
Artech Digital Entertainment

3D Modeling, Intern

Artech Studios is a video game developer based out of Ottawa, Canada.

• Modeled three dimensional characters and props for an in-house PC / PlayStation / X-box game in development called Raze's Hell (working title: Schnozz).

2001-2003
Nomatik

Web Developer | Project Manager

The, now-defunct, Nomatik.com began operations in October, 2001. It was an events collaboration site. Members would use built-in email, chat, forum and event listing functionality to share and comment about electronic music events (raves) worldwide. It was innovated because was built entirely in Flash – which was a huge challenge back then – and was one of the first user-generated sites in the event space.

• Developed the web-mail interface and events collaboration modules from scratch

• Integrated pre-existing forum and chat components.

• Designed and Implemented a large scale web-scraping operation to gather content from events from other sites using automated cronjobs and ETL.

Although the startup got hundreds of thousands of signups, it failed to monetize in time and had to shut down. However, due to the innovated nature of this project, we were invited to speak in a small conference in Prague in August, 2003.

Education

2019
Illinois Institute of Technology

Master’s in Data Science

Relevant coursework: Deep Learning, Statistical Learning, Computer Vision, Big Data Technologies, Applied Statistics, Data Preparation and Analysis, Machine Learning in Finance

2009
Latin American University for Science And Technology

BS in Computer Science Engineering

Relevant Coursework: Probability and Statistics, Discrete Mathematics, Calculus for Engineering, Data Structures, Numerical Methods, Quality and Risk Assesment, Analysis and Design of Systems I & II, Databases, Programming I-VI, Financial Engineering, Operations Research I & II, Industrial Accounting, Teleinformatics I & II

Personal

Languages

• Native English and Spanish

• Intermediate proficiency in French

Additional Skills

• 3D modeler/animator

• Graphic designer

Hobbies

• Gourmet cook with a love for coffee & tea beverages.

• Movie and music knowledge guru.

Data Wrangling & Statistical Analysis

Python (Pandas, Numpy, SciPy, StatsModel, NLTK, Gensim,...)

95%

R (Tidyverse, Caret, purrr...)

90%

SQL (most variations)

95%

Excel (Pivot tables, vlookup, VBA)

90%

Tableau Prep

85%

Machine Learning

TF/Keras

85%

Scikit-learn

85%

Interpretability (SHAP, LIME,...)

95%

R (randomForest, lme4, glmnet,...)

90%

PyTorch

75%

XGBoost, Catboost, LightGBM

80%

Tuning & Experimentation (Hyperopt, Weights & Biases..)

75%

Distributed Training (Elephas, Horovod)

55%

Computer Vision

OpenCV

80%

DLib

65%

PIL

75%

Data Visualization

Python (Matplotlib, Seaborn)

85%

R (Ggplot, Plotly, Leaflet)

90%

Tableau Desktop

90%

D3.js

70%

Big Data & Distributed Systems

MongoDB

90%

Elasticsearch

65%

Apache Spark

75%

MapReduce

75%

Neo4j

65%

Hive

60%

Pig

65%

Web & Mobile Development

PHP

95%

Flask

90%

NodeJS

75%

.NET

75%

HTML + CSS + Javascript

100%

jQuery

90%

nginx

90%

Java

80%

Objective C

80%

Swift

65%

Computer Graphics

Adobe Photoshop

95%

Adobe Illustrator

85%

Adobe After Effects

80%

Autodesk 3d Studio Max

85%

Rhino 3D

75%

Project Management

Agile Methodologies

90%

Team Leadership

90%

Public Speaking

80%

Git (also Github/Bitbucket)

85%

Trello

90%

Asana

70%

Operating Systems & Server Config

MacOS (inc. Terminal)

95%

Ubuntu / CentOS (inc. Command Line)

90%

Windows

95%

Shell Scripts (and Crontab)

75%

Python Virtualenv

85%

Docker

80%

Writing

Interpretable Machine Learning with Python

Understand the key aspects and challenges of machine learning interpretability, learn how to overcome them with interpretation methods, and leverage them to build fairer, safer, and more reliable models. For more details, the following short video can explain the contents:

Where to purchase?

Online Sellers

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Amazon

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Amazon.com (e-book & paperback)
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Packt Publishing

Global

Packtpub.com (e-book only)

🇺🇸
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United States

BarnesAndNoble.com (e-book & paperback)
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Portugal

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Belgium & Netherlands

Bol.com/be (e-book & paperback) • Bol.com/nl (e-book & paperback)

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Netherlands

Donner.nl (paperback only)

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Sweden, Norway, & Finland

Adlibris.com/se (paperback only)
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Norway

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Denmark

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Estonia, Latvia, & Lithuania

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Brazil

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Taiwan

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Pricena

United Arab Emirates

ae.pricena.com (paperback only)

Brick & Mortar Sellers

Testimonials

BookAuthority Best AI Models Books of All Time

Speaking

Upcoming

Oct. 13, 2021

AIExpo 2021 🇺🇸

ValleyML

"Path to Artificial General Intelligence" (panel)

Oct. 12, 2021

ML Summit Berlin 2021 🇩🇪

ML Summit

"Making Machine Learning Models Attack-Proof with Adversarial Robustness" (workshop)

Sep. 30, 2021

Strangeloop 2021 🇺🇸

Strangeloop

"Mitigating Bias in ML Models with Constraints" (workshop)

Past Events

July 8, 2021

A.I. Access Series 🇯🇵🇺🇸

DeepLearning.ai (in collaboration with Machine Learning Tokyo & KPMG Ignition Tokyo)

"XAI: Learning Fairness with Interpretable Machine" (keynote)
[VIDEO]

April 19, 2021

ML Summit Berlin 2021 🇩🇪

ML Summit

"Interpretable Multivariate Forecasting with Deep Learning" (workshop)

April 10, 2021

DataScienceGO Virtual April 2021 🇺🇸

DSGO

"Fairness with Interpretable Machine Learning" (workshop)

April 8, 2021

Python for ML and AI Global Summit 2021 🇺🇸🇪🇺

Geekle

"The Importance of Interpretable Machine Learning"
[VIDEO]

March 24, 2021

Aggregate Intellect ML Interpretability Stream 🇨🇦

AISC

"XAI with Monotonic Constraints & Interaction Constraints" (keynote)
[VIDEO]

Feb. 27, 2021

Machine Learning Prague 2021 🇨🇿

ML Prague

"Ensuring Machine Learning Fairness with Monotonic Constraints" (workshop)

Feb. 20, 2021

DSGO Connect February 2021 🇺🇸

DSGO

"The Importance of Incorporating Interpretation in Machine Learning Workflows" (keynote)
[VIDEO]

Oct. 30, 2020

Open Data Science Conference West 2020 🇺🇸

ODSC

"Interpretable Machine Learning with Python: Interpreting & Improving Fairness for Recidivism Risk Assessments" (workshop)

Sep. 13, 2019

Strangeloop 2019 🇺🇸

Strangeloop

"Assistive Augmentation: Lip Reading with AI"
[VIDEO]

Sep. 6, 2019

8th Light University 🇺🇸

8LU

"Assistive Augmentation: Lip Reading with AI" (keynote)

Portfolio

My Projects
Smart Grid Short Term Load Forecasting with RNNs

Smart Grid Short Term Load Forecasting with RNNs

Deep Learning, Time Series
Audio-Assisted Lip-Reading System Using LSTM Artificial Neural Network

Audio-Assisted Lip-Reading System Using LSTM Artificial Neural Network

Computer Vision, Deep Learning, NLP, Transfer Learning
Haiku Generation with the GPT-2 language model

Haiku Generation with the GPT-2 language model

NLP, Transfer Learning
Predicting 3D Printer Failure

Predicting 3D Printer Failure

ETL, Interpretable ML, Machine Learning
3D Scanning Via Photogrammetry with Automated Stage

3D Scanning Via Photogrammetry with Automated Stage

Computer Vision
Data Quality Assessment on a Data Warehouse and KPI Assessment on Its Users

Data Quality Assessment on a Data Warehouse and KPI Assessment on Its Users

Descriptive Analytics, ETL
Interpretable Personal Loan Default Predictions

Interpretable Personal Loan Default Predictions

Deep Learning, Interpretable ML, Machine Learning
Chicago Hospital Ranking System

Chicago Hospital Ranking System

Descriptive Analytics, Geospatial / GIS
Predicting Rugby 7s Positions with Match-Play Statistics

Predicting Rugby 7s Positions with Match-Play Statistics

Geospatial / GIS, Statistical Learning
Estimating Driver Drowsiness & Distraction with Deep Learning & Computer Vision

Estimating Driver Drowsiness & Distraction with Deep Learning & Computer Vision

Big Data, Computer Vision, Decision Science, Deep Learning
A Regression-based Cross-Sectional Analysis of the Effects of Resources on Math Proficiency

A Regression-based Cross-Sectional Analysis of the Effects of Resources on Math Proficiency

Descriptive Analytics, Geospatial / GIS, Statistical Learning
Search Engine for Spontaneous and Serendipitous Decision Making

Search Engine for Spontaneous and Serendipitous Decision Making

Big Data, Decision Science, ETL, Geospatial / GIS, Machine Learning
Online Poker Analytics

Online Poker Analytics

Descriptive Analytics, ETL, Time Series

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