Creating and developing innovative software solutions for clients across a broad range of industries.

Participating in scrums consisting of cross-functional teams, both software and hardware.

Ensuring that features are being delivered efficiently and on time.

Working on data filtering, feature engineering, and transformation to enhance segmentation accuracy.

Reduced average handling time for payment-related issues using efficient data processing techniques.

Using K-means clustering for customer segmentation and optimizing rankings with calculated metrics and data processing pipelines.

Automating build and deployment pipelines using Azure DevOps and JAMstack.

Developing back-end services with Python, Kubernetes, and FastAPI for scalable processing.

Delivered end-to-end Data Science solutions to different business sectors using new features of Dataiku and Python libraries.

Automated the data load process through custom-built web platforms.

Continuously supported the project to extend Dataiku features as needed.

Designed and implemented new data models for a Brazil-based tax processing solution.

Implemented Python-based plugins to extend Dataiku functionalities on the platform.

Created new plugins to read data from CSV and Excel files and write CSV files to a folder.

Developed efficient and reusable code, worked on data structures, and used industry best practices in delivering solutions.

Built and deployed an Azure function for a dynamic RNN model to manage dynamic forecasting of items for different convenience stores across the US.

Created a functionality for the model to use data pulled from Azure tables, run forecasts, and return results as JSON.

Analyzed, developed, and delivered end-to-end data solutions that meet functional and non-functional business requirements.

Designed and implemented solutions to enhance data management processes and data quality initiatives.

Identified and applied NLP, cannibalization, data mining, scraping, and classification models to different data assets.

Worked on the design, analysis, and interpretation of data into high-quality insights/visualizations.

Delivered and communicated results through reports, presentations, and other data-focused means.

Employed the latest programming languages and analytics tools to generate visualizations.

Depicted business insights using infographics, visual development using D3, SVG, and web technologies.