PrognostikasAbout me
Hi my name is Juan Carlos Hidalgo but you can call me JC for short. I am a Solutions Consultant passionate about Data Science and a Evangelist of new technologies; facilitating people along their adoption journey to translate innovation into business value.
With over 10 years of experience and a Master's of Science degree in Data Analytics from Georgia Institute of Technology, I bring the right mix between customer-facing consulting and the technical knowledge, to not only recommend but to implement the latest data modeling techniques to produce insightful information for better decision making.
I would like to hear and know about your needs. Let's connect.
Work experience
Data Solutions Consulting Engineer
NCR Voyix, Atlanta, GA
2017 - 2025
SME specialized in delivering effective demonstrations translating technical
features in business value for Data Solutions and Platform Integrations,
including RESTful APIs, SQL Data Replication, and Back-Office Cloud Solutions.
Graduate Associate
Georgia Institute of Technology, Atlanta, GA
2022 - Present
Assisted in reviewing real world-scenario Data Analysis projects, ensuring proper
Data Modeling and Analysis pipelines were presented in the final work; gaining
exposure to data quality, structure, and modeling best practices.
Sr. Sales Engineer
ScanSource, Miami, FL
2014 - 2017
SME specialized in Enterprise Mobility, Wireless Infrastructure and RFID.
Led the Business Innovation Program across Latin America to evangelize
the adoption of Android on Rugged Mobile Devices and RFID technologies in
Retail, Warehousing, Manufacturing and T&L Industries.
Education
Master of Science in Computer Science with Specialization in AI
Georgia Institute of Technology
2023 - Expected August 2026
Master of Science in Data Analytics
Georgia Institute of Technology
2019 - 2022
Bachelor of Science in Electrical Engineering
Universidad Centroamericana, El Salvador
1990 - 1995
Skills
Discover the blocks that build up my knowledge and experience.
Value Selling
Proficient delivering effective demonstrations and building Business Impact Models to translate technical features in business opportunities.
Programming Languages
Proficient in Python for Data Analysis, SQL, C# and JavaScript.
Data Platforms
Proficient in MS SQL Server, Databricks, MongoDB, MS Dataverse and PowerBI.
Web Technologies
Skilled in RESTful APIs, HTML, CSS, Angular, NodeJS Express.
Projects
Some of the projects that support my work
POS and Inventory Management System for Pawn Shops
System developed in C# and SQL Server stack for Pawn Shops featuring business transactions specific logging, layaway, reporting. It integrates with barcode readers, receipt and label printers, and cash drawers.
Tropical Cash
Restaurant Sales Prediction and its Effects from Weather, Entertainment & COVID Events
Built a Sales Prediction platform using Python and libraries like Pandas, Scikit-Learn, NumPy, SciPy, and Plotly; executing an extensive multiple-source ETL process, along with an exhaustive model exploration using Ensemble and Neural Network methods; optimal best model result was then transfered to a Plotly web-based dashboard application for visualization purposes.
NCR Voyix
Kiosk Restaurant Optimization
Developed a Queue Analysis tool (Queuing-Tool, Pandas, and Plotly) to model customer arrival patterns, optimizing Self-Checkouts terminal needs, streamlining the sales presentation preparation time from days to minutes.
Academic Project
Truck Load Tracker Mobile App
Developed a Windows Mobile applicaction in C# and SQL for CE; for Tracking the Truck Load Dispatching, Delivery/Returns, to the final Receving Stage back at the Central Station; everything performed at the truck location. The app was developed and customized to be implemented in a Enterprise Grade MC3090 from Zebra and its peripherals like data scanner and Wireless radio.
Academic Project
Bike Sharing Availability Predictions
Predict future NY Bike availability at each station using Linear Regression, and share this information to the public through an intuitive and interactive web interface to improve user experience and increase adoption.
Academic Project
Classifying At-Door Package Delivery by Object Detection
Determine via image analysis techniques like YOLO for object detection whether a person is delivering a package at the door or not. The best performing model was used to detect boxes and people from actual at-door delivery pictures.
Academic Project
Student Performance Prediction
Used a novel approach involving Graph Isomorphism Networks for Graph classification to predict student performance during game-based learning.
Kaggle Competition
Client testimonials
Discover what clients have to say about their experiences working with me.
" Juan Carlos developed and implemented a fully customized Point of Sale and Inventory system for our operation from scratch. He has not only helped our operation to run faster and smoothier but his continued and dedicated support along these 19 years has been invaluable "
Daniel Arenovich
President - Tropical Cash
" JC helped me model data-driven solutions for Restaurants enabling us to consult in a more strategic way on transformation initiatives. JC quickly came and wrote his own Python app to take the brand's data and model in ways that allowed us to easily produce optimal kiosk scenarios "
Kent Berman
Sr. Principal CX Transformation - NCR Voyix
" Juan Carlos assisted us building from the ground up a mobile application implemented on Zebra MC3190 devices for our customer SOCOEPA. This application helped out customer with their mobility digital transformation in their truck dispatching operations "
Fidel Labarca
President - SEACOM