Diego Solarte Perez Principal data scientist

Principal data scientist

AB InBev

Nov 2023 - Current (2 years 7 months)

Develop the DTC (direct to consumer) strategy, review and constantly improve current machine learning models associated with: churn, TRR, CLV and other related KPIs. Propose new models to enrich the strategy to be used on the apps either as an online or offline scheme.

Senior Data Science Consultant

Tata Consultancy Services

Feb 2022 - Jul 2022 (6 months)

- As part of the MLops team I build full end to end IoT machine learning solutions for anomaly detection and forecasting applied to manufacturing processes. - I model sensors data with python and data robot with state of the art models like autoencoders and neural networks.

Senior Applied Data Scientist

dunnhumby

Dec 2021 - Feb 2022 (3 months)

Teaching Assistant

Correlation One

Aug 2020 - Jul 2022 (2 years)

- As a Teaching Assistant for the DS4A (Data Science for All) v3.0, v5.0, and v6.0 programs in Colombia, I played a pivotal role in supporting students in their data science journey. My responsibilities included delivering engaging lessons on data science concepts, statistics, and machine learning, while fostering an interactive learning environment. Additionally, I taught SQL to students, enhancing their ability to manage and analyze data effectively, which is crucial for their success in the field. My collaboration with Correlation One, a New York-based company, allowed me to contribute to a platform designed to elevate data science education across countries and businesses.

Applied Data Scientist

dunnhumby

Aug 2019 - Dec 2021 (2 years 5 months)

- Develop, support and maintain Data Science solutions for retailers and manufacturers in the retail sector enabling them to better understand their customers and exploit the power of data. - With Python and Google Cloud Platform, I extract and analyze big masses of data with Hadoop and spark in order to get actionable insights and deliver custom made segmentation and predictive models. dunnhumby is the world leader on retail data science

CX Data Engineer, Innovation Leader - Global Data HUB

Findasense

Mar 2018 - Jul 2019 (1 year 5 months)

- As part of the Behavioral & Data HUB I lead Advance Analytics and Machine Learning projects inside de company. Using specialized data science languages like Python and R. - I provided support to the data integration, transformation and extraction from all of the different data sources. We develop data warehouses all around the region to automatize ETL processes. - Findasense is an award-winning global Omnichannel Customer Experience company that partners with Fortune 500 companies to deliver deep knowledge and performance-driven marketing solutions with 250+ experts across 12 countries - Current and past clients include: The Coca-Cola Company, DirectTV, L'Oreal, AirFrance/KLM, Warner, Lenovo, CPP, Groupon, SportingBet, Worten, Electronic

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Operations Department Specialist

EPIC Consultores

Jan 2017 - Feb 2018 (1 year 2 months)

- In charge of resource planning and IT requirements. Setup and administration of the PMO Cloud platform: training, testing and process design. - Design of dashboards directly on the PMO platform, configuration of queries and data extraction from databases. - Work on statistical pilot project to estimate the costs of civil engineering projects: testing of Machine learning models, design of R and Python models.

Business Intelligence Analyst

Hogaru

May 2016 - Oct 2016 (6 months)

- Though Business inteligente methods I helped to solve business problems and extracted actionable insights to improve the startups operational efficiency. - Support in the design and implementation of actions to improve the company's operations in all of its headquarters. Generate reports for general management and shareholders - Maintenance of generated dashboards and reports in Excel with advanced macro management and VBA code. Design of predictive models using machine learning methods to support decision making and automation of systems.

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Process Coordinator

Asap SAS

Sep 2013 - Apr 2016 (2 years 8 months)

Process reengineering, optimization of resources and design of internal control procedures. Establishment of new processes, incoming businesses and outsourcing. Guaranteeing quality and efficiency in operation. In charge of the IT department (servers, software and equipment), selection of new technologies and suppliers. Generation of statistical reports on current processes for management decision-making, in favor of continuous improvement and identification of opportunities and/or threats. Control and quality assurance of the payroll process of more than 20 clients around 2,000 employees.

Quality & Service Analyst

Whirlpool Corporation

Jan 2011 - Aug 2013 (2 years 8 months)

Actively participate in monitoring product quality with more than 50 Whirlpool suppliers from all over Latin America. Administration of all quality systems and monitoring of warranty networks in the 14 countries of the region. Generation and creation of reports related to product quality, failure forecasting and goal setting at the corporate level.

Process Analyst

DataCrédito Experian

Jan 2010 - Dec 2010 (1 year)

Documentation of processes related to the products of the business. Survey of processes, diagramming and cataloging. Review of operating manuals vs current ways of working. Actively participate in the design of the product processes.

Operations Analyst

iQ Outsourcing

Aug 2008 - Jul 2009 (1 year)

As part of the Operations Management Staff, I was in charge of consolidating and analyzing production indicators nationwide. Generate reports related to production and operation information, analyze and support daily operations.

Diego Solarte Perez

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