Top Talent like Demian are on Pangea

Pangea, a YC company, connects companies with fractional talent. Fractional hiring allows companies to move faster and work with more specialized talent, while giving talent more flexibility and independence. If you are talent open to fractional work, apply here. If you’re a company looking for high-quality fractional talent, learn more here.

Demian Pablo

AI & Machine Learning Engineer
MA, AN, ES
Data Science
Elasticsearch
Python
Machine Learning
AI
Natural Language Processing
Apache Spark
Google Cloud Platform
Amazon Web Services
Microsoft Azure
R
Available for hire fromNegotiable
Full-Time Roles
Contracts
Experienced Data Scientist with a demonstrated history of working in the marketing and tech industry. Skilled in Machine Learning, Web Scraping, NLP,
Data Scientist

Work History

E

Data Scientist

EPAM SystemsSep 2021 - Oct 2023 • 2 yrs 2 mosETL pipelines. Feature Engineering. Unit Testing & code reviews. Code refactoring & debugging. Building of R packages. Shiny dashboards. Time Series Analysis & Gating Checks. Stack: R, R Shiny, Scala, GIT, Bitbucket, Azure, Docker. Client: Bridgewater Associates (Finance/Trading).
W

Data Scientist

Weber Shandwick UKNov 2020 - Sep 2021 • 11 mosEnd to end data pipelines. NLP and Sentiment Analysis. Automation of tasks working with different APIs, Xlwings & GCP Cloud Functions. Statistical modeling and machine learning. Segment audiences using algorithms such as K-means or PCA. Development of performant, scalable and reusable production code, working in collaboration with other team members through GitHub.
D

Senior Data Scientist

DigitasNov 2019 - Nov 2020 • 1 yr 1 moData Science projects for GSK (Glaxo Smith Kline) account for US Market. Use of AWS instances for connecting to a set of different data sources (Experian, Comscore, IRI, Epsilon, Google DV360), mostly by using Pyspark to perform data manipulation, feature engineering and several types of modeling approaches (such as Logistic Regression, Random Forests, GBT, MLP, Naive Bayes, Linear Support Vector Machines, etc). Projects included EDA, audience profiling, time lag analysis, look alike modeling, among others. Working in collaboration with Strategy and Media team, providing insights for increasing the effectiveness of content marketing and activation. Development of a deep understanding of target audiences through exploratory analysis to generate hypotheses and identify growth opportunities. Build of scalable code for working with very large data sets; and making it flexible, in order to be leveraged by other members across the team.
B

Head of Data Science

BBDOMar 2019 - Oct 2019 • 8 mosLed Data Science practice in Argentina. Worked on audience data collected via Amazon Redshift from a set of DMPs, and also from clickstream data providers (such as Lotame and Jumpshot). Tableau dashboards for data visualization. Audience profile setting and consumer journey taxonomy definition by working along with the Strategy team. Web scraping from blogs and Youtube comments (by using Python’s Beautiful Soup and Selenium packages) Natural Language Processing of text data for spanish language; which consist in tokenization, use of regular expressions, stopwords, and tailor made functions in Python. Creation of custom sentiment classifier from scratch on Jupyter notebooks by using bag of words and Hamming distance in order to get classes (positive, negative and neutral) for each unlabeled comment scraped, and then refined by the implementation of n-grams and k-nearest neighbors.
I

Senior Analytics Analyst

IPG MediabrandsOct 2016 - Mar 2019 • 2 yrs 6 mosResponsible for delivering marketing insights across media touchpoints and audiences to drive the strategic planning process, evolve measurement and optimize the media mix to improve return on investment. Local project manager for data integration from a variety of digital sources (such as Facebook and Google), which consisted in extracting, transforming and loading data in order to automatize performance reports and provide meaningful insights across all teams and clients. Deployment of agency optimization tools designed to improve marketing insights and operations (mostly for predictive analytics, campaign performance and KPIs visualization). Collaboration across teams for producing strong insights to reporting and client deliveries.
G

Business Intelligence Analyst

GlobadOct 2015 - Oct 2016 • 1 yr 1 moBusiness strategies definition. Set of different scenarios. Revenue, costs and profit forecast for diverse markets. KPIs analysis for each business unit (Branding, Apps, VAS). Trends determination. Integration of data from diverse platforms (Google, Facebook, Appnexus, Double Click, etc) for reporting. Worked in collaboration with IT team in order to implement/improve processes. Klipfolio’s Admin. In charge of building dashboards for data visualization.
P

CRM Analyst

PulpoMay 2014 - Oct 2015 • 1 yr 6 mosSystem users administrator of CRM software. Accounts creation (digital advertising agencies), commercial opportunities/proposals flow management. In charge of user´s training. Revenue and strategic reports (accounts categorization, sales activity measurement, win rates by product, coverage territory, targets by agencies and sales reps, sales achievement). Database manager for Marketing campaigns.
K

Data Scientist

Kairos Digital SolutionsDevelopment of recommender systems.

Education

I

ITBA

Master's Degree, Data ScienceMar 2018 - Dec 2019

How Pangea Works

Effortlessly discover top talent

We've distilled the candidate search from endless hours down to just a few minutes. Using Pangea's AI-powered search tools, you can find top fractional talent able to take on your next project. Our system looks at your company's niche and your needs to find the perfect match faster than any traditional hiring platform.

Start working with talent today

The top talent on Pangea is ready to get started with you right now. You can message or hire a candidate right from their profile page and start assigning work as soon as they respond. And the best part? Pangea's fractional contract structure lets you start small and ramp up as your needs change, keeping your costs manageable and your team's capabliities flexible.

Track work and invoices in one place

Assign tasks, track progress, and complete invoices all on Pangea. We've combined every part of the hiring process into one platform to eliminate the miscommunication that's unavoidable on other freelance platforms. We even send out 1099s to your contractors at the end of the year!

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call
Experienced Data Scientist with a demonstrated history of working in the marketing and tech industry. Skilled in Machine Learning, Web Scraping, NLP,
Data Scientist

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call

Top Talent like Demian are on Pangea

Pangea, a YC company, connects companies with fractional talent. Fractional hiring allows companies to move faster and work with more specialized talent, while giving talent more flexibility and independence. If you are talent open to fractional work, apply here. If you’re a company looking for high-quality fractional talent, learn more here.

Demian Pablo

AI & Machine Learning Engineer
MA, AN, ES
Data Science
Elasticsearch
Python
Machine Learning
AI
Natural Language Processing
Apache Spark
Google Cloud Platform
Amazon Web Services
Microsoft Azure
R
Available for hire fromNegotiable
Full-Time Roles
Contracts

Work History

E

Data Scientist

EPAM SystemsSep 2021 - Oct 2023 • 2 yrs 2 mosETL pipelines. Feature Engineering. Unit Testing & code reviews. Code refactoring & debugging. Building of R packages. Shiny dashboards. Time Series Analysis & Gating Checks. Stack: R, R Shiny, Scala, GIT, Bitbucket, Azure, Docker. Client: Bridgewater Associates (Finance/Trading).
W

Data Scientist

Weber Shandwick UKNov 2020 - Sep 2021 • 11 mosEnd to end data pipelines. NLP and Sentiment Analysis. Automation of tasks working with different APIs, Xlwings & GCP Cloud Functions. Statistical modeling and machine learning. Segment audiences using algorithms such as K-means or PCA. Development of performant, scalable and reusable production code, working in collaboration with other team members through GitHub.
D

Senior Data Scientist

DigitasNov 2019 - Nov 2020 • 1 yr 1 moData Science projects for GSK (Glaxo Smith Kline) account for US Market. Use of AWS instances for connecting to a set of different data sources (Experian, Comscore, IRI, Epsilon, Google DV360), mostly by using Pyspark to perform data manipulation, feature engineering and several types of modeling approaches (such as Logistic Regression, Random Forests, GBT, MLP, Naive Bayes, Linear Support Vector Machines, etc). Projects included EDA, audience profiling, time lag analysis, look alike modeling, among others. Working in collaboration with Strategy and Media team, providing insights for increasing the effectiveness of content marketing and activation. Development of a deep understanding of target audiences through exploratory analysis to generate hypotheses and identify growth opportunities. Build of scalable code for working with very large data sets; and making it flexible, in order to be leveraged by other members across the team.
B

Head of Data Science

BBDOMar 2019 - Oct 2019 • 8 mosLed Data Science practice in Argentina. Worked on audience data collected via Amazon Redshift from a set of DMPs, and also from clickstream data providers (such as Lotame and Jumpshot). Tableau dashboards for data visualization. Audience profile setting and consumer journey taxonomy definition by working along with the Strategy team. Web scraping from blogs and Youtube comments (by using Python’s Beautiful Soup and Selenium packages) Natural Language Processing of text data for spanish language; which consist in tokenization, use of regular expressions, stopwords, and tailor made functions in Python. Creation of custom sentiment classifier from scratch on Jupyter notebooks by using bag of words and Hamming distance in order to get classes (positive, negative and neutral) for each unlabeled comment scraped, and then refined by the implementation of n-grams and k-nearest neighbors.
I

Senior Analytics Analyst

IPG MediabrandsOct 2016 - Mar 2019 • 2 yrs 6 mosResponsible for delivering marketing insights across media touchpoints and audiences to drive the strategic planning process, evolve measurement and optimize the media mix to improve return on investment. Local project manager for data integration from a variety of digital sources (such as Facebook and Google), which consisted in extracting, transforming and loading data in order to automatize performance reports and provide meaningful insights across all teams and clients. Deployment of agency optimization tools designed to improve marketing insights and operations (mostly for predictive analytics, campaign performance and KPIs visualization). Collaboration across teams for producing strong insights to reporting and client deliveries.
G

Business Intelligence Analyst

GlobadOct 2015 - Oct 2016 • 1 yr 1 moBusiness strategies definition. Set of different scenarios. Revenue, costs and profit forecast for diverse markets. KPIs analysis for each business unit (Branding, Apps, VAS). Trends determination. Integration of data from diverse platforms (Google, Facebook, Appnexus, Double Click, etc) for reporting. Worked in collaboration with IT team in order to implement/improve processes. Klipfolio’s Admin. In charge of building dashboards for data visualization.
P

CRM Analyst

PulpoMay 2014 - Oct 2015 • 1 yr 6 mosSystem users administrator of CRM software. Accounts creation (digital advertising agencies), commercial opportunities/proposals flow management. In charge of user´s training. Revenue and strategic reports (accounts categorization, sales activity measurement, win rates by product, coverage territory, targets by agencies and sales reps, sales achievement). Database manager for Marketing campaigns.
K

Data Scientist

Kairos Digital SolutionsDevelopment of recommender systems.

Education

I

ITBA

Master's Degree, Data ScienceMar 2018 - Dec 2019

How Pangea Works

Effortlessly discover top talent

We've distilled the candidate search from endless hours down to just a few minutes. Using Pangea's AI-powered search tools, you can find top fractional talent able to take on your next project. Our system looks at your company's niche and your needs to find the perfect match faster than any traditional hiring platform.

Start working with talent today

The top talent on Pangea is ready to get started with you right now. You can message or hire a candidate right from their profile page and start assigning work as soon as they respond. And the best part? Pangea's fractional contract structure lets you start small and ramp up as your needs change, keeping your costs manageable and your team's capabliities flexible.

Track work and invoices in one place

Assign tasks, track progress, and complete invoices all on Pangea. We've combined every part of the hiring process into one platform to eliminate the miscommunication that's unavoidable on other freelance platforms. We even send out 1099s to your contractors at the end of the year!

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call
Pangea empowers fractional work across the world for marketing and design roles.