B.S Computer Science

2018 - 2022

The City College of New York

GPA: 3.79/4.00

Senior Data Engineer

Jul 2022 - Present

Accenture, New York, NY

• Lead engineer in developing and architecting a new data quality framework for a leading telecommunications client using AWS Deequ library, Databricks, Python, Scala, Spark, and SQL.
• Collaborated directly with the client to replace outdated data quality checks, resulting in a 50% improvement in processing speed and a 40% increase in accuracy.
• Designed and implemented scalable data pipelines and architectures leveraging AWS technologies and Databricks to enhance data quality and reliability.
• Developed robust ETL processes and optimized data workflows using Python, Scala, Spark, and SQL, ensuring high performance and consistency.
• Developed machine learning models, including regression, classification, and clustering algorithms, to predict key performance indicators for a pharmaceutical client.
• Created a sophisticated search platform using NLP algorithms and information retrieval techniques.
• Led controlled experiments, including A/B testing and factorial design, to validate hypotheses and optimize critical processes.
• Implemented robust data governance practices using SQL and Python.

Machine Learning Engineer

Feb 2022 - Jun 2022

NYC Department of Buildings, New York, NY

• Designed & created supervised machine learning models for the Analytics & Data Science Unit
• Used historical public data involving construction injuries to predict high-risk buildings in New York City
• Implemented concepts such as hyperparameter tuning, upsampling, training, validating, and testing to identify the best classification algorithm in order to pick the most appropriate parameters
• Developed several supervised machine learning models including Gradient Boosting Classifier, Logistic Regression, Neural Networks, K-Nearest Neighbors, and Support Vector Machine
• Utilized NumPy, Pandas, Matplotlib, Sklearn, and GeoPandas in the Jupyter Notebook environment for data analysis and visualization

Software Engineer Intern

Jun 2021 - Aug 2021

Fujitsu Network Communications, Richardson, TX

• Designed & developed a cloud-based Web Application for the Software Business Unit (SWBU) Team
• App provides a platform for Fujitsu’s customers to generate XML, JSON & XLSX files needed by VPD (Virtuora Planning & Design)
• My internship project generated $100,000 in revenue after it was sold to AT&T by Fujitsu
• Web platform provides a user-friendly interface to build and download XML, JSON & XLSX files simultaneously

Software Engineering Intern

Feb 2020 - May 2021

WebMD, New York, NY

• Developed and contributed to numerous Full-Stack Web Applications for WebMD Platform (Consumer Runtime) Team
• Designed and implemented Page Performance Testing Dashboard for streamlining test creation and test-tracking
• The Dashboard provides for the approval of the tests for stakeholders before it gets deployed to the production
• It improves developers' efficiency by eliminating the manual steps and automating the route creation and route validation

Software Engineering Intern

Jun 2019 - Aug 2019

ASML, Wilton, CT

• Delivered two automation tools to Reticle Stage SDEV Team
• Automated the process of generating compatibility agreements by developing a Linux application using Python
• Linux tool reduces task duration from 8 hours (manual task previously) to 10 seconds
• The tool eliminates human errors and enables architects to generate compatibility agreements more frequently