“Manuel is a hardworking reliable colleague. Ever since the interview process to his most recent achievement he has demonstrated his commitment to high quality deliverables. He is focused in creating innovative ideas to focus on Customer Satisfaction as he demonstrated with the implementation of the listening posts "The Magnet". His passion to find scalable solutions and improve the Client experience has lead to significant improvements and defect reduction. As part of his other responsibilities, Manuel has been instrumental leading the KPI and dashboard redesign allowing the team to design and deliver more successful strategies for our go to market plans. His positive attitude and passion to find better solutions is contagious. He is a key element for our team and company.”
About
Contributions
Activity
-
✨ DataIQ has chosen Venkat Gopalan, Chief Digital, Data & Technology Officer, at Belcorp to be in the 2024 edition of the #DataIQ100 USA. Unveiled in…
✨ DataIQ has chosen Venkat Gopalan, Chief Digital, Data & Technology Officer, at Belcorp to be in the 2024 edition of the #DataIQ100 USA. Unveiled in…
Liked by Manuel Neto
-
We're growing at Alegeus, and I’m looking for a Marketing Operations Manager to join my team! In this role, you’ll help streamline our marketing…
We're growing at Alegeus, and I’m looking for a Marketing Operations Manager to join my team! In this role, you’ll help streamline our marketing…
Liked by Manuel Neto
-
Transform your marketing strategy with EMRge by Ovative™ EMRge™ is a comprehensive MarTech solution designed for forward-thinking marketers…
Transform your marketing strategy with EMRge by Ovative™ EMRge™ is a comprehensive MarTech solution designed for forward-thinking marketers…
Liked by Manuel Neto
Experience & Education
Licenses & Certifications
Volunteer Experience
Patents
-
The Multidimensional Machine Learning Data and User Interface Segment Tagging Engine Apparatuses, Methods and Systems (“MLUI”) - Cognitive Intelligence Cache
US11676070B1
The Multidimensional Machine Learning Data and User Interface Segment Tagging Engine Apparatuses, Methods and Systems (“MLUI”) transforms ambient condition data, sales data, user interface selections, cognitive intelligence question input inputs via MLUI components into project projections, campaigns, user interface visualizations, cognitive intelligence question output outputs. A cognitive intelligence (CI) datapoint identifier cache datastructure is generated, the CI datapoint identifier…
The Multidimensional Machine Learning Data and User Interface Segment Tagging Engine Apparatuses, Methods and Systems (“MLUI”) transforms ambient condition data, sales data, user interface selections, cognitive intelligence question input inputs via MLUI components into project projections, campaigns, user interface visualizations, cognitive intelligence question output outputs. A cognitive intelligence (CI) datapoint identifier cache datastructure is generated, the CI datapoint identifier cache datastructure configured to comprise a category identifier and an entity segment identifier. A CI datapoint value cache datastructure is generated, the CI datapoint value cache datastructure configured to comprise a set of module datastructures, each module datastructure corresponding to a module identifier associated with the category identifier, each module datastructure comprising a set of metric datastructures, each metric datastructure corresponding to a set of calculated metrics. The generated CI datapoint identifier cache datastructure and the generated CI datapoint value cache datastructure are stored as a key-value pair.
-
The Multidimensional Machine Learning Data and User Interface Segment Tagging Engine Apparatuses, Methods and Systems (“MLUI”) - Database Config
US11694119B1
The Multidimensional Machine Learning Data and User Interface Segment Tagging Engine Apparatuses, Methods and Systems (“MLUI”) transforms ambient condition data, sales data, user interface selections, cognitive intelligence question input inputs via MLUI components into project projections, campaigns, user interface visualizations, cognitive intelligence question output outputs. A category identifier selection is obtained via a category selection interface mechanism. Entity segment identifier…
The Multidimensional Machine Learning Data and User Interface Segment Tagging Engine Apparatuses, Methods and Systems (“MLUI”) transforms ambient condition data, sales data, user interface selections, cognitive intelligence question input inputs via MLUI components into project projections, campaigns, user interface visualizations, cognitive intelligence question output outputs. A category identifier selection is obtained via a category selection interface mechanism. Entity segment identifier selections are obtained via entity segment interface mechanisms. A set of visualization cognitive intelligence (CI) datapoint identifiers is determine as CI datapoint identifiers associated with each combination of a selected entity segment identifier, and the select category identifier. CI datapoint values corresponding to the set of visualization CI datapoint identifiers are retrieved from a NoSQL database configured to act as cache for generating visualizations based on metrics calculated using survey data. A visualization is generated using retrieved CI datapoint values.
-
The Multidimensional Machine Learning Data and User Interface Segment Tagging Engine Apparatuses, Methods and Systems (“MLUI”) - Datapoint Identifiers
US11720555B1
The Multidimensional Machine Learning Data and User Interface Segment Tagging Engine Apparatuses, Methods and Systems (“MLUI”) transforms ambient condition data, sales data, user interface selections, cognitive intelligence question input inputs via MLUI components into project projections, campaigns, user interface visualizations, cognitive intelligence question output outputs. An update to a survey data file is detected. The updated data is stored in a SQL database configured to utilize a…
The Multidimensional Machine Learning Data and User Interface Segment Tagging Engine Apparatuses, Methods and Systems (“MLUI”) transforms ambient condition data, sales data, user interface selections, cognitive intelligence question input inputs via MLUI components into project projections, campaigns, user interface visualizations, cognitive intelligence question output outputs. An update to a survey data file is detected. The updated data is stored in a SQL database configured to utilize a composite index of the updated survey data that optimizes the database query time. A set of affected entity segment identifiers is determined. A set of affected category identifiers is determined. A set of the affected cognitive intelligence (CI) datapoint identifiers is determined as CI datapoint identifiers associated with each combination of an affected entity segment identifier and an affected category identifier. Metrics for each allowable response question identifier are calculated and stored in a NoSQL database configured to act as cache for generated visualizations
Languages
-
English
Native or bilingual proficiency
-
Portuguese
Native or bilingual proficiency
-
Spanish
Full professional proficiency
-
German
Full professional proficiency
Recommendations received
6 people have recommended Manuel
Join now to viewMore activity by Manuel
-
Did I already say Merkle is rapidly growing our #Workfront Team? Pretty sure I did. Here are more roles! Senior Analyst (Adobe Workfront) -…
Did I already say Merkle is rapidly growing our #Workfront Team? Pretty sure I did. Here are more roles! Senior Analyst (Adobe Workfront) -…
Liked by Manuel Neto
-
It’s rare to cross paths with someone as extraordinary as Randy Soper, who heads up AI at IRS and is a pioneer in this space building neural networks…
It’s rare to cross paths with someone as extraordinary as Randy Soper, who heads up AI at IRS and is a pioneer in this space building neural networks…
Liked by Manuel Neto
-
Very excited to be doing this work with Jonathan Halvorson, MBA, Michael Lampert, Accenture and Publicis Groupe! https://lnkd.in/dADyMsZA
Very excited to be doing this work with Jonathan Halvorson, MBA, Michael Lampert, Accenture and Publicis Groupe! https://lnkd.in/dADyMsZA
Liked by Manuel Neto
Other similar profiles
Explore collaborative articles
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Explore MoreOthers named Manuel Neto in United States
-
Manuel Neto
Project Manager
-
Manuel Bonfim Braga Neto
Gastroenterolgy Fellow at Mayo Clinic Rochester
-
Manuel Neto
--
-
Manuel Neto
--
10 others named Manuel Neto in United States are on LinkedIn
See others named Manuel Neto