About Me

I’m an aspiring graduate student passionate about Data Science & Analytics, with a particular interest in building dashboards, visualizations, and integrating AI libraries to automate tasks. My journey has involved internships & full time experience, academic & online certifications, and hands-on learning by building projects.

In my current internship at NBLK, I’ve worked on analyzing large datasets, using Machine learning techniques, automating workflows, and visualizing key insights. I also possess experience of building Python scripts to streamline tasks and created interactive dashboards with PowerBI, Tableau to provide actionable insights for business decisions.

I’m eager to expand my knowledge further by developing models and continuing to enhance my analytics skills. Feel free to reach out to me via LinkedIn DM or through the contact details in the last section of my profile.

What i'm doing

  • design icon

    Data Science

    Predictive modelling and advanced algorithms using Python libraries, TensorFlow and Keras.

  • Web development icon

    Data Analytics

    Python and R to create Data visualizations, extract data and build it into graphs

  • mobile app icon

    Machine Learning

    Training and testing code to make machines imitate humans, saving time and improving accuracy.

  • camera icon

    Business intelligence

    Mining data to achieve valuable insights, creating dashboards on Tableau drawing statistics from Datasets.

Testimonials

  • Youngsoo Shin

    Prof. Youngsoo Shin

    Bren is an outstanding student who actively engages in his studies where his curiosity and friendly demeanor foster a positive learning environment. He excels in group discussions, demonstrating a commendable balance between academic excellence and teamwork. Overall, Bren's enthusiasm and well-rounded nature make him a standout individual with great potential.

  • Youngsoo Shin

    Prof. Dan Farkas

    In my graduate Geographic Information Systems class, Mr. Bren Mathew consistently demonstrated exceptional enthusiasm and proficiency in GIS using the ArcGIS platform, mastering complex concepts and applying them skillfully in class projects. His curiosity, initiative, and outstanding performance makes him a strong candidate for any GIS position or further academic pursuit.

  • Daniel lewis

    Prof. Ichhanshu Jaiswal

    Bren has been an interactive & friendly student during the Artificial Intelligence(AI) lectures and lab hours which I conducted. He is an outstanding student and would excitingly ask questions to clear his doubts, making a strong impression in the AI classes

  • Jessica miller

    Prof. Rohit Barve

    To summarize, Bren stands as an all-rounder having the right balance of academics as well as extra-curricular activities. He has performed exceptionally during his lab hours by being an active part of group discussions and inputting his ideas. As a result of his friendly behaviour, he gets along with other students well to perform the assigned tasks making him a good team player.

  • Emily evans

    Bristlecone

    Bren received great appreciation by his leaders. In his project, he was the youngest in his team which kept him energy driven to provide his extended support to the customers and complete his regular activities alongside. We completely endorse the candidature of Mr. Bren George Mathew

Skillset

Resume

Education

  1. Pace University, Seidenberg school of Computer Science & Information Systems

    Sep 2023 — May 2025

    Master of Science in Information Systems | Concentration: Data Science

  2. University of Mumbai

    August 2017 — October 2020

    Bachelor of Engineering (BEng) in Information Technology | Concentration: Database Management

Experience

  1. Junior Analyst Intern, NBLK

    November 2024 — Present
    • • Engineered a Machine learning app to build an AI search system using Census API with Google's Gemini LLM & GenAI, leveraging semantic search and NLP to scrape over 1 billion records, reducing variable selection time by 60%.
    • • Web scraped 50k+ records for the Abbott World Marathon Majors, performed EDA, statistical analysis and visualized insights identifying challenges leading to a recent decline in 6-star finishers among total participants.
  2. Associate Consultant, Bristlecone

    October 2020 — September 2022
    • • Performed SQL Queries on the database, modifying the structure and making modifications to serve 25k+ users.
    • • Conducted data profiling and exploratory data analysis (EDA) on structured and unstructured datasets, finding anomalies and helping optimize data pipelines for improved reporting.
    • • Built Data Dashboards using Power BI to present it to the clients, helping clients understands the company’s monthly statistics and performance analysis.
    • • Designed and implemented predictive models using Python to identify trends and improve decision-making, contributing to data-driven strategies for clients.
  3. International Business development intern, Reach Technologies

    May 2019 — August 2019
    • • Expanded the company’s existing database by identifying over 400 new international prospects to increase sales targets.
    • • Generated daily reports by compiling and analyzing potential customer data using MS Excel for use by the sales team.

My skills

  • Python
    89%
  • SQL, Database Management
    75%
  • Data Visualizations
    80%
  • AI/ML Libraries
    72%

Portfolio

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Project Title

HELLO

Additional Image

This project analyzes supermarket sales data to gain insights into product performance, customer behavior, and revenue trends. By understanding the provided dataset (supermarket_sales.csv), it aims to deliver valuable visualizations and information to improve sales strategies and decision-making.

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Below are some following questions analyzed on this dataset:

• What are the most selling Products?

• Which are the top 10 Products according to Sales?

• Which Products have proved to be the most profitable?

• What category sold the most?

• Which category is the most Profitable?

• What are the most selling products in each subcategory?

• Which customer segments are the most profitable?

• Which Shipping modes sold the most products?

• What markets sold the most Products?

• Which are the top 10 countries by sales?

• What's the average shipping cost for the top 10 different countries?

Link to the entire project
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Project Title

HELLO

Additional Image

This project is for netflix.

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Just netflix

• What are the most selling Products?

Link to the entire project

Certificates

Contact

Contact Form