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.

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    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. Intern, NBLK Consulting

    November 2024 — Present
    • • Built an AI powered semantic search system hyper tuning Gemini LLM & BERT driven NLP models on 1 Billion+ USA Census records, reducing variable selection time by 60% for analysts for efficient data management.
    • • 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
    • • Built DBT models to structure the unstructured data, extracted it to Snowflake, leveraged SQL Queries & visualized it using Power BI utilizing DAX queries to improve customer retention rate by 24%.
    • • Deployed interactive Power BI dashboards by processing complex, large-scale datasets from the M&M Group companies, enabling leadership to identify underperforming business units improving operational efficiency by 18%.
    • • Optimized inventory levels with Python using Prophet, ARIMA time-series forecasting, regression analysis to reduce stockout of products and decrease excess inventory by 15%.
    • • Awarded by the CEO for handling multiple projects efficiently with quick problem-solving skills.
  3. Intern, Reach Technologies

    May 2019 — August 2019
    • • Expanded international prospect database by generating qualified leads, building KPI visualizations using advanced MS Excel methods, SQL tables & Python increasing potential revenue pipeline by $400k

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