Humberto Gonzalez Granda

Humberto G. Granda has a diverse work experience, starting with their current role as a Machine Learning Engineer at Omdena. In this position, they lead data analysts in identifying trends and key performance indicators in large datasets, resulting in a 15% revenue growth. Humberto also develops machine learning models to predict customer churn and improve retention rates by 10%. Additionally, Humberto creates intuitive data visualizations and dashboards to present insights and guide data-driven decision-making.

Prior to their current role, Humberto worked as a Data Scientist at Springboard, where they performed data cleaning, feature engineering, and preprocessing using pandas and NumPy. Humberto implemented various regression algorithms and evaluated model performance through cross-validation and evaluation metrics.

Humberto also has experience as a Picture Archiving And Communication System Administrator at MERGE Healthcare | An IBM Company. In this role, they installed, configured, and maintained PACS and RIS systems, provided technical support to healthcare professionals, and coordinated with IT teams to implement network security protocols.

Before that, Humberto worked as a Forecast Analyst at GS1, where they developed demand forecasting models, improved forecasting accuracy, and optimized resource allocation and distribution plans to reduce costs. Humberto also gained experience as an SAP Business Objects & Route Planner Analyst at Mondelēz International, where they created interactive dashboards, designed and maintained SAP Business Objects universes and reports, and optimized query performance.

Humberto's work experience also includes a role as a Business Development & Marketing Assistant at Colgate Palmolive. Here, they implemented innovative strategies to improve product visibility, distribution, and market share.

Overall, Humberto G. Granda has a strong background in machine learning, data analysis, system administration, forecasting, and marketing.

Humberto G. Granda's education history is as follows:

Humberto attended Interview Kickstart, where they studied Machine Learning Engineering. Humberto then pursued a Master's degree in International Business [MIB] at La Salle BCN. After that, they earned a Master of Science degree in Marketing from ESAN Graduate School Of Business. Prior to their postgraduate studies, Humberto obtained a Bachelor's degree in Industrial Engineering from Universidad de Lima.

In addition to their formal education, Humberto has obtained several certifications. These include certifications in Building Systems with the ChatGPT API, LangChain for LLM Application Development, ChatGPT Prompt Engineering for Developers, and How Diffusion Models Work, all from DeepLearning.AI. Humberto has also completed courses such as "Build a Data Science Web App with Streamlit and Python" from Coursera, "Designing and Developing Online Course" from MaxKnowledge, Inc., "Online Teaching Techniques" from MaxKnowledge, Inc., "Presenting Virtually Online Course" from Duarte, Inc., and "Slide Design Online Course" from Duarte, Inc.

Furthermore, Humberto has attended workshops such as Duarte's DataStory Virtual Workshop and Duarte's Presentation Principles: Story, both conducted by Duarte, Inc. Humberto has also acquired expertise in areas such as applying Data Science, Machine Learning & Geographic Information System (GIS) to Real Estate through a program offered by PropertyQuants. Humberto holds the certification of Certified Data Scientist from Springboard and has completed courses in Databricks Introduction to SQL Analytics on Lakehouse, Databricks Lakehouse Overview, and Databricks Lakehouse with Delta Lake Deep Dive from Databricks. Humberto has further enhanced their skills through ELVTR's Artificial Intelligence (AI) for Business and Digital Marketing Analytics courses.

To expand their knowledge in data science, Humberto has completed courses such as Fundamentals of Accelerated Data Science with RAPIDS and Fundamentals of Deep Learning offered by NVIDIA.