Hi! I'm Victor Gerardo Rivera, an AI Engineer and Data Scientist with expertise in designing and deploying scalable machine learning solutions. With a strong foundation in Data Science and AI Engineering, I specialize in leveraging advanced analytics, deep learning, and cloud computing to drive business impact. I have hands-on experience with Python (Pandas, NumPy, Keras, PyTorch, TensorFlow), SQL & NoSQL databases, and cloud platforms (AWS, GCP, Azure). My skill set includes MLOps (Docker, Kubernetes, Airflow), Big Data processing (Spark, Databricks), and data visualization (Power BI, Tableau). I excel in Natural Language Processing (NLP), sentiment analysis, and recommendation systems, applying AI to real-world business challenges.
With a background in Software Engineering and Business Management, I bridge the gap between technical development and strategic decision-making. I am passionate about transforming complex data into actionable insights, optimizing AI workflows, and staying at the forefront of technological advancements.
View ResumeDeveloped an interactive web application using Streamlit, GeoPandas, Folium, and Streamlit-Folium to visualize and analyze geographic data of Puerto Rico through dynamic maps. Integrated OpenAI API, BeautifulSoup, Pandas, NumPy, and Requests to provide AI-driven insights, web-scraped data, and enhanced user interaction.
Developed an interactive web application using Streamlit, GeoPandas, Contextily, and Matplotlib to visualize lightning strike data across Alaska. The project aimed to assist government emergency systems in identifying ground strike locations to proactively prevent wildfires. Implemented intuitive geospatial mapping and data overlays to enable efficient exploration and analysis.
Developed an AI-powered sentiment analysis app to classify Amazon product reviews using NLP and deep learning techniques. Leveraged tools like Plotly, NLTK, Pandas, NumPy, Transformers, PyTorch, and Scikit-learn to visualize insights and ensure accurate classification. The objective was to help businesses better understand customer feedback and enhance their products and services.
This application classifies traffic signs using a CNN(Convolutional Neural Network) model. Using Tensorflow, Pandas, Numpy, Matplotlib, Seaborn, ScikitLearn, Python.
This project is a Global Market analysis in Power Bi, I can Tableau as well, In this one we inform an Executive team the best profit market and how was the sales per month, year, day.
Analysis of a business where employee flight has been an aspect where they had many annual losses. In this project we presented the employer with the flight percentage and the cost.
Send me an email to: vicgerardo.1@gmail.com or in my LinkedIn
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