Fausto Fleites Email & Phone Number

Marysville, Ohio, Us

Marysville, Ohio, Us

- Setup strategy around machine learning and identify business problems where predictions and/or optimization can drive incremental revenue or reduce costs.- Lead data engineering and data science teams.- Partner with the business to develop ML-based forecasting models to supplement short-term and long-term business decisions.- Develop framework to execute year-long simulations of the business that include both internal and external data, as well as a decomposition of the predictors by each business driver.- Operationalize at scale data and ML pipelines in AWS using Apache Airflow.

Miami, Fl, Us

- Develop strategy around machine learning, Big Data, graph database technology to address critical business problems in finance, retail, CPG, and manufacturing. - Lead data lake (data engineering) and machine learning strategy, implementation, and operationalization for multi-billion CPG company as part of its digital transformation.- Lead solutions that combine machine learning with optimization to address core Marketing problems such as multi-touch attribution, cross-channel spend optimization, mix modeling, as well as churn and life-time-value predictions.- Architect and lead operationalization of machine learning models, e.g., demand sensing, churn, multi-touch attribution, and customer segmentation.- Partner with business stakeholders to identify what business questions can make effective use of machine learning for improved data-driven decisions.- Lead, design, and implement ready-mix truck scheduling optimization algorithm for multi-billion building materials company to replace earlier solution worth millions of dollars of licensing costs.- Lead development of data engineering accelerators for AWS data lake operations based on Apache Airflow.

Dublin 2, Ie

- Lead technical solutioning based on graphs, advance analytics, and machine learning across various industries.- Partner with group lead to define strategic direction and grow client pipeline.- Collaborate with account leads in discussions with clients, drafting of proposals, and materialization of client projects.- Support business development and ideation of next generation solutions to tackle client challenges.Manage technology team to architect solutions and build POCs

Chicago, Il, Us

- Work directly with the CEO to create and manage a data science team to drive business decisions.- Provide vision, leadership, and oversight for data mining and machine learning.- Lead in collaboration with business teams the implementation of rigorous test and learn processes to drive data generation, modeling, analysis, and learning through feedback.- Design and execute machine learning strategy to address critical problems throughout the organization and identify business opportunities to leverage data mining, predictive modeling, and prescriptive analytics.- Research and prototype cutting-edge solutions to drive long-term customer behavior by utilizing reinforcement learning.- Lead the development of machine learning and prescriptive analytics solutions to address the problems of item-store eligibility, buy plans, and personalized customer targeting. Item-store eligibility was addressed with a localized assortment optimization model at the item-store level that considers local customer purchase preferences and substitution among the items and generated up to 30% lift in sales and margin in tested stores. For personalized interactions, instead of optimizing at the campaign level, a prescriptive solution was designed (currently being deployed and tested) to make decisions at the member, offer, channel combination and optimize overall engagement and business metrics such as redemption and margin. - Partner with business stakeholders to evaluate and test modeling solutions. - Drive the collection of external data and the refinement of existing data sources. - Leverage actionable insights from external sources to incorporate new information and data for improved business decisions and modeling effectiveness.

Miami, Florida, Us

GraphPath tackles Big Data from a new angle by allowing companies to easily represent, manage, and extract knowledge from their data as graphs. Graphs provide a natural way to represent data, and with GraphPath’s ETL framework, companies can concentrate on extracting value from their data, effortlessly executing machine-learning workflows, and deploying models as REST APIs. Furthermore, GraphPath is a collaborative environment in which everyone is a company, from decision makers to data scientists, can be part of the process.- Design software and Big Data architecture.- Develop all backend functionality: API, job scheduling, management, activity tracking, and machine-learning operators.- Design and maintain various graphs.- Lead data science and architecture.

San Francisco, Ca, Us

Senzari is a big data technology company that focuses on recommendation services, analytics, and machine learning. It relies on a distributed, semantic graph with billions of points across music, TV, and movie content to derive semantic information, graph-based search, and personalized recommendations via an API.- Lead data science team (scientists and engineers).- Research and prototype new solutions with emerging distributed technologies.- Lead the design and development of distributed applications that rely on Elasticsearch and Titan graph database(Cassandra).- Design and maintain graph schema on Titan graph database.- Design and develop metrics and analytic solutions using Spark, Hadoop, and Hbase.- Provision and manage Hadoop, Spark, Cassandra, and Elasticsearch clusters.- Develop and automate complete data workflows.- Prototype and design recommendation and machine learning solutions using Spark.

Miami, Fl, Us

• Provide information about previous versions of the model.• Support the model’s Hadoop-based distributed framework.

Miami, Fl, Us

This large-scale project undertakes the development of a public hurricane risk assessment model by an interdisciplinary team of researchers and scientists from meteorology, engineering, actuarial science, statistics, and computer science. The model’s underlying framework integrates stochastic hurricane data, vulnerability matrices, and insurance data; is built on a cluster-based, distributed architecture based on Apache Hadoop; and was developed using multiple programming languages and database technologies.1. Design and develop distributed architecture based on Hadoop for insurance loss model.2. Design database schema and complex stored procedures in PostgreSQL to store and process insurance data.3. Design and develop model components using C++, Java, shell scripting, Ruby, Perl, and MATLAB.4. Manage all computer science students who work in the project.5. Represent the project during on-site audits by the Professional Team of the Florida Commission on Hurricane Loss Projection Methodology.

The work at TCL concentrated on enhancing the TV experience by automatically processing the contents of TV streams and providing consumers with a novel and easy approach that allows them to seamlessly purchase products shown on TV screens.1. Develop approach to automatically detect handbags in fashion shows.2. Design and implement a distributed system in Storm to carry out real-time object detection in video streams.3. Design and implement a video abstraction mechanism for moving object detection that takes into account temporal and computational constraints.

Doctor Of Philosophy (Ph.D.), Computer Science

Master Of Science In Computer Science, Computer Science

Bachelor, Computer Science