About Me
With over 1 and a half years of experience in the tech industry, I have honed my skills in data science, data analysis, economics, and software development. My passion lies in leveraging data to drive informed decision-making and create innovative solutions that make a real impact.
My journey began with a fascination for the intersection of art and technology. Today, I work with cutting-edge technologies to build scalable, performant applications that push the boundaries of what's possible on the web.
Work Experience
Data Science Internship
December 2024 - PresentRutgers University
▪ Integrated and analysed multi-institutional academic datasets across 200+ universities in the tri-state area and 34 SAS departments, enabling comparative performance modelling for Mathematics and Sciences departments.
▪ Developed scalable SQL- and R-based data pipelines (Microsoft SQL Server, RStudio) to clean, transform, and aggregate large datasets, reducing manual analysis time by 40% and improving data quality controls.
▪ Applied statistical modelling and exploratory data analysis (EDA) techniques, including hypothesis testing, regression analysis, and distributional assessment, to identify performance drivers and validate cross-departmental trends.
▪ Designed and deployed interactive dashboards to visualise longitudinal metrics and model outputs, translating complex analytical findings into actionable insights for faculty and administrative stakeholders.
Walmart
May 2023 - September 2023Digital Distribution and Customer Service
Collaborated with team members to streamline operations, improving efficiency in digital distribution workflows. (Sigma, 5S).
Technical Skills
Executive Collaborations
Strategic Analytics
Technical Skills and Frameworks
Python
R
Git
SQL
Tableau
AWS
Docker
Microsoft Office
Services
Data Analysis & Visualization
Cleaning, analyzing, and structuring data to identify trends, patterns, and anomalies, often presented through dashboards and reports.
Predictive Analytics & Machine Learning
Developing, validating, and deploying algorithms to forecast future outcomes, automate decision-making, and build AI models.
Experimental Design
Running A/B tests and statistical analyses to validate business hypotheses and optimize product performanc
Cloud Solutions
Scalable cloud architecture and deployment strategies for modern applications.
Data Strategy & Consulting
Defining business problems, identifying relevant data sources, and translating complex data into actionable recommendations for stakeholders.
Data Engineering Support
Building and maintaining data pipelines (ETL/ELT) to transform and move data into usable formats.
Portfolio
Rutgers Recycling Efficacy
19 Page research paper using Data Analysis to calculate recycling rates and identify inefficiencies.
Credit Card Fraud Detection
Collaborated to build an end-to-end credit card fraud detection pipeline, including data preprocessing and feature scaling, class imbalance mitigation (random undersampling, SMOTE), anomaly detection, and model evaluation using Logistic Regression and Neural Networks to compare undersampling vs. oversampling
DNA Profiling
Developed a Java-based DNA analysis system leveraging linked lists and hash tables to efficiently match DNA samples to suspects, simulating a real-world forensic identification workflow.
Get In Touch
devamincfc@gmail.com
Phone
+1 (908) 926-3072
Location
Roselle Park, NJ