Gabriel Benatti Alvim
Principal Consultant at Geekshark- Claim this Profile
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Portuguese Native or bilingual proficiency
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English Native or bilingual proficiency
Topline Score
Bio
Credentials
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Spark and Python for Big Data with PySpark
UdemyNov, 2017- Nov, 2024
Experience
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Geekshark
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United States
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IT Services and IT Consulting
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1 - 100 Employee
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Principal Consultant
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Mar 2022 - Present
Principal Consultant in charge of technical vetting top-talent. Working on finding the best from LATAM willing to face global challenges in the tech sector. Principal Consultant in charge of technical vetting top-talent. Working on finding the best from LATAM willing to face global challenges in the tech sector.
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Loadsmart
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United States
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Transportation, Logistics, Supply Chain and Storage
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400 - 500 Employee
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Tech Lead
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Jul 2022 - Present
- Lead the technical direction of projects related to statistics and machine learning, ensuring alignment with company goals and industry best practices.- Communicate technical requirements and constraints to other engineering teams, product department, and stakeholders, ensuring efficient collaboration and project execution. - Assist the Product Manager in defining team priorities and roadmaps, contributing to strategic planning and resource allocation. - Support the Engineering Manager by addressing technical inquiries and providing insights into system capabilities and performance. - Review code and technical specifications for team members, ensuring adherence to quality standards and promoting continuous improvement. - Develop and maintain a technical roadmap to guide the team's efforts and optimize system architecture. - Continue to fulfill the responsibilities of the Senior Machine Learning Engineer role (see below) while taking on increased leadership and communication duties. Show less
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Senior Machine Learning Engineer
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Jun 2019 - Jul 2022
Senior Software Engineer focused on Machine Leand and Data Science for the Pricing Algorithms Team. Working closely with Python, Django, Gradient Boosting libraries (XGBoost, LightGBM, CatBost), PyTorch + Pyro and reinforcement learning algorithms to dynamically price loads in the freight market and enable over 70% of Loadsmart total revenue. My achievements are:- Successfully led projects that generated over $500,000 in cost reduction, supported new modes of revenue for the company, and improved model error.- Co-created and developed a Bayesian A/B Test framework that has added hundreds of thousands in gross profit and revenue using PyMC3 and Pytorch-Pyro.- Successfully worked on cross-department collaborations to match thousands of empty trucks to shipments, generating a profit of over 30% per shipment. My responsibilities are:- Lead projects related to Statistics and Machine learning- Maintain and improve online Machine Learning systems used to price millions in revenue.- Integrate internal and external data sources to ML systems with low-latency- Analyze in-depth effects of our ML systems and how they drive different key metrics- Implement and analyze A/B Tests utilizing Bayesian methodology.- Develop and manage back-end systems to serve Machine Learning models- Mentor colleagues in Statistics, Machine Learning and Software Engineering- Organize and lead monthly Data Science meetings across the company Show less
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Neoway
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Brazil
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IT Services and IT Consulting
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500 - 600 Employee
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Lead Data Scientist
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Jan 2019 - Jun 2019
As Lead Data Scientist for the Analytics team, I was in charge of developing new models, refining the team culture, instructing data scientists on best practices and collaborating closely on the development of software geared towards Data Science. Many of the models I was in charge of make up Neoway's advantage over other competitors, leading to many stakeholders relying on my work daily to deliver results.
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Data Scientist
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Apr 2017 - Dec 2018
My focus as a Data Scientist is to conceptualize, analyse, develop, and deploy predictions and insights based on publicly available information, using competition winning machine learning algorithms and statistical models. Some of the projects I led were:➤ Predicting yearly revenue for active companies with little to no information, using feature extraction, and optimization techniques to make a high performance model robust to missing data. ➤ In-house development of a Python 3 machine learning framework encompassing the whole Data Science cycle, including but not limited to: Feature Engineering, Feature Extraction, Feature Selection, Data Pre-Processing, Hyper-Parameter Tuning and Model Selection, and Performance Analysis.➤ Developed an automated economic index for analysing the potential of consumption for companies and residents over all of Brazil's area. This involves techniques for Composite Indicator and missing data estimation. Show less
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Conta Azul
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Brazil
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Financial Services
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500 - 600 Employee
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Data Analyst III / Data Scientist
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Sep 2016 - Apr 2017
Lead Data Analyst for the Marketing Team and responsible for: ➤ The creation and deployment of a Predictive Machine Learning Classification Model for Sales Qualified Leads using marketing, web analytics and behavioral data. ➤ Monitoring and updating all the Marketing Metrics, OKRs and KPIs, while creating new data viz dashboards for every Marketing Specialist. ➤ Forecasting OKRs for different scenarios in 2017 while analyzing web traffic and changes in costumer profiles. Lead Data Analyst for the Marketing Team and responsible for: ➤ The creation and deployment of a Predictive Machine Learning Classification Model for Sales Qualified Leads using marketing, web analytics and behavioral data. ➤ Monitoring and updating all the Marketing Metrics, OKRs and KPIs, while creating new data viz dashboards for every Marketing Specialist. ➤ Forecasting OKRs for different scenarios in 2017 while analyzing web traffic and changes in costumer profiles.
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MJV Technology & Innovation
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United States
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Business Consulting and Services
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700 & Above Employee
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Junior Statistical Analyst
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Jul 2016 - Sep 2016
As a Junior Statistical Analyst at a consulting firm I:➤ Create and analyze progress reports regarding the Marketing Team and its published content.➤ Utilize Python and HubSpot-API for the management of automated weekly and daily reports.➤ Collaborating with the Data Analysis Team involving projects for Predictive Machine Learning Analysis, Descriptive Data Analysis, and Database Clustering for MJV's clientele.➤ Responsible for internal projects regarding the use of Statistical Analysis on MJV’s CRM (Customer Relationship Management) database.➤ Analyze client churning from private life pension funds with the purpose of developing a retention strategy, as well as weighting its cost and feasibility. Show less
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Intern in Data Analysis and Statistics
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Sep 2015 - Jun 2016
While interning for MJV I collaborated in numerous projects involving Data Analysis, such as:- Provide Statistical Analysis support and insight for MJV’s CRM (Customer Relationship Management) team.- Worked with the Statistical Analysis of churn and CRM data sets, involving both Descriptive and Predictive Analysis.
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IBGE
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Brazil
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Government Administration
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700 & Above Employee
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Intern in Statistics
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Sep 2013 - Feb 2014
While Interning at IBGE, my main roles were: ➤ Contributed statistical support in weighting and prediction of missing data for The Annual Research regarding Brazil’s Commerce and Service (PAC & PAS). ➤ Utilized S.A.S. (Statistical Analysis System) to define the relationship of Telecommunication Companies and their subsidiaries. ➤ Participated in the creation of Socioeconomic Reports from all the companies located in Brazil. While Interning at IBGE, my main roles were: ➤ Contributed statistical support in weighting and prediction of missing data for The Annual Research regarding Brazil’s Commerce and Service (PAC & PAS). ➤ Utilized S.A.S. (Statistical Analysis System) to define the relationship of Telecommunication Companies and their subsidiaries. ➤ Participated in the creation of Socioeconomic Reports from all the companies located in Brazil.
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Education
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2014 - 2015
The Johns Hopkins University
Undergraduate International Student, Applied Mathematics and Finances -
2011 - 2016
Escola Nacional de Ciências Estatísticas - ENCE
Bachelor of Science - BS, Statistics and Probability
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