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Harvy Cruz Girón

i t project manager / agile / pmbok / ai / iot

Puede desplazarse Madrid , Madrid

  • 40.4167
  • -3.70358
Proponer un proyecto El proyecto sólo comenzará si aceptas el presupuesto de Harvy.
Proponer un proyecto El proyecto sólo comenzará si aceptas el presupuesto de Harvy.

Localización y desplazamiento

Madrid, España
Puede trabajar en tus oficinas en
  • Alrededor de Madrid y 50 kms
  • Alrededor de Madrid y 60 kms


Duración del proyecto
  • ≤ 1 mes
  • Entre 1 y 3 meses
  • Entre 3 y 6 meses
  • ≥ 6 meses
Sector de negocio
  • Agencias de subcontratación
  • Banca & seguros
  • Consejo & auditoría
  • Construcción & Obra Civil
  • E-commerce
+18 autres
Tamaño de la empresa
  • 2-10 personas
  • 11-49 personas
  • 50 - 249 personas
  • 250-999 personas
  • 1000-4999 personas
+1 autres




Habilidades (50)

  • Methodologies
  • PMO
    Principiante Intermediario Confirmado
  • Principiante Intermediario Confirmado
  • Frameworks
  • Principiante Intermediario Confirmado
  • Principiante Intermediario Confirmado
  • Languages
  • Principiante Intermediario Confirmado
  • SQL
    Principiante Intermediario Confirmado
  • PHP
    Principiante Intermediario Confirmado
  • Principiante Intermediario Confirmado

Harvy en pocas palabras

Efectivo gerente de proyectos, reconocido por solucionar problemas ofreciendo soluciones originales -out the box-, y con un camino de experiencias que le han llevado a trabajar con empresas fortune 500 de la talla de Inteq, Baker Performance, BJ Services, Hughes Tool Co., American Stores-Albertson's, LandStar, o a ser socio de negocios y consultor para diferentes startUps a nivel global.

Diligent project manager offering a proven record of success, leading all phases of diverse technology projects; Master Project Manager credentials from Villanova University (USA) and PMI member from 2007; Strong in managing software development teams, and implementing out the box software solutions for global customers. Skilled delivering Agile, PMO and re-engineering organizacional projects with ease and grace.

While working as a Project Manager Latam at Black Box Technology, Harvy helped companies in the cloud technology services (TuLatinCloud.com Argentina & Colombia), Education (Incap & EIFE - Bogotá), and automotive (Dianca Motors / Mercedes Benz) industries all take their first tentative steps into Agile software delivery and Big Data.

As new trends in technology are arriving and developing, I am becoming a specialist in big data and Ai projects while working in supervised and unsupervised deep learning for pattern recognition, artificial neural networks to fix specific data mining customer issues, convolutional neural networks for image and video classification, recurrent neural networks for scenario predictions, analysis maps for geolocation, communications and data mining, plus small projects in developing Boltzmann machines to create smart recommendation systems.


Grupo Black Box / Black Box Technology

High tech

Project Manager LATAM - Business Partner

Caracas, Venezuela

enero de 2017 - septiembre de 2018

Business Partner Consultant for Grupo Black Box LATAM ( Canada, Caracas, Bogotá, Panamá). Hired to define business processes and tools best suited to each project. Moved between Agile, Waterfall, Scrum, Kanban, ScrumBan, ITIL, and TOGAF approaches depending on project specifics and client goals, creating detailed project road maps, plans, schedules, user stories, backlog priorities and work breakdown structures to successfully deliver IT projects.

Setup cloud infrastructures and CRM systems to support Blackbox operations in South America. Created and managed a developer's team of 25 people. Served industries were: oil-gas, construction, IT services, retail (Web and ecommerce).

Black Box Technology

High tech

Infraestructure as a Service (IaaS)" / Automated Virtual Server provisioning

Bogotá, Colombia

octubre de 2017 - diciembre de 2017

Managing Consultant leading the deployment and the implementation of infrastructure projects for Colombia Satellital Services, a provider of cloud services and communications for the Colombian Government.

Result: Development and implementation of an automated solution for on the cloud server's provisioning. Servers allowed custom configurations following the orders of the client. Virtual machines were created automatically based on imaged servers built to satisfy custom sizes for personal or enterpise usages. This new IaaS environment based on redhat also included one friendly administrative interface that allows billing and payments online, plus an online WHMCS support system.

Black Box Technology Inc.

High tech

Artificial Neural Networks Modeling

Panamá, Panamá

mayo de 2014 - junio de 2014

The client, a major bank with offices in Panama, Colombia and Peru noted that many of her clients are closing their accounts with the Bank, and are doing so in some countries, with an unusual high percentage. The Bank wants to understand what is the problem, and they want an analysis that will help them to control the situation.

The project is based on analyzing information provided by the Bank and offer new insights about the problem. For this purpose, the Bank has provided six months of information, around 100 thousand records of bank transactions.

The Bank wants to know with these 100 thousand records, which customers will be with the Bank in the next six months, and who would leave it in the same period of time. The objective of this project is to create a model of geo-targeting, which will indicate to the Bank - using neural networks for behaviour predictions - which of your customers are at a high risk of leaving the Bank. Data mapping and presentations were made on Tableau.

Input Factors: MaritalStatus, Gender, YearlyIncome , TotalChildren, NumberChildrenAtHome, EnglishEducation, HouseOwnerFlag, NumberCarsOwned, CommuteDistance, Region, Age, Savings Accounts flag, Checking Accounts flag, Account Seniority flags, Accounts with other banks flags...

Important lesson: When training a neural network, the learning rate is the most important hyperparameter to tune. For instance: Too small a learning rate and your neural network may not learn at all; Too large a learning rate and you may overshoot areas of low loss (or even overfit from the start of training). Again, When it comes to training a neural network, the most valuable (in terms of accuracy) is going to come from selecting the correct learning rate and appropriate learning rate schedule.

In addition to the above applications, neural network can be applied to the following areas in the financial world: Currency prediction, Futures prediction, Bond ratings, Business failure prediction, Debt risk assessment, Credit approval, Bank theft, Bank failure.
Data science Data mining Tableau software Neural Networks python Metodología Agile Keras Virtualización recurrent neural networks

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