Information Science and Computer Science Student at University of Colorado Boulder
Berto Mazum
I am a first gen student at CU Boulder studying CS and Info. I am passionate about creating new things and learning how to do it better. I enjoy translating data into insights, building tools that make people's lives easier, and collaborating with teams.
Right now: Building my senior capstone project
About
I enjoy projects where technical depth and clear communication matter equally.
I’m a Computer Science and Information Science student focused on data analytics and building systems that turn raw information into actionable insight. Whether I’m designing data pipelines, structuring databases, or developing dashboards, I aim to create solutions that are reliable, scalable, and easy for stakeholders to use. I care deeply about clean data modeling, analytical clarity, and delivering insights that drive measurable outcomes — all while shipping efficiently and iterating with purpose.
What drives me is ownership and iteration. I like experimenting, learning quickly, and refining until something works well in the real world. I enjoy collaborating across disciplines and translating technical complexity into language that stakeholders can understand and act on. My goal is simple: build useful systems that actually make an impact.
What I'm looking for
Full-time roles in data analytics, Business Intelligence, or product-focused engineering.
Skills
A practical toolset across product development layers.
Embedded & Systems
Tools
Projects
Explore cards below. Open details in an accessible modal sub-window or navigate to a shareable project page.
9/9
Showing 9 of 9 projects

Data
King Stats – Foot Pressure Analytics & Shoe Recommendation
Pressure sensor data → dashboards → shoe recommendations.

Design
Personal Portfolio Website
A clean, animated portfolio built to showcase engineering work.

Data
INFO 3402: Multi-Dataset Dashboards
Three interactive dashboards from random datasets: sleep vs screen time, NBA stats, and Spotify analytics.

Data
Data Analytics Internship
A GUI for automaticat data validation and analysis
Web
CU Barbershop Website
Clean, student-friendly site with a relaxed local vibe.

Data
CU Campus Expansion Dashboard
Analyzing campus growth through structured building data.

Embedded
CU Hyperloop – Teensy Ethernet + Redis Telemetry
Embedded networking for real-time control + data exchange.
Web
Curls on the Block – Hair Care Recommendations Platform
Full-stack platform to personalize hair care + boost STEM engagement.
Data
Lucene Search Engine Index + Query Pipeline
Index text files and run ranked queries with Lucene.
Experience
A timeline of impact across technical roles.
Summer 2025
Data Analyst Engineering Intern · MKS Instruments
Applied structured data analysis to improve internal and engineering workflows.
- Organized and cleaned internal operational datasets to improve reporting accuracy.
- Developed internal tools to automate repetitive validation processes.
- Translated operational data into structured documentation and measurable workflow improvements.
2025 – Present
Data Analytics Contributor · Senior Capstone – King Stats
Building a data pipeline that converts raw foot pressure sensor data into structured analytics for shoe performance insights.
- Developed a Playwright web scraping pipeline to collect structured shoe specification data.
- Designed and maintained a SQLite database to integrate biomechanical sensor outputs with product attributes.
- Used Pandas to clean, normalize, and transform raw datasets for downstream analysis.
- Focused on translating raw sensor data into interpretable performance metrics.
2024 – 2025
Data-Focused Web Developer · Freelance & Campus Clients
Built web applications with structured data integration and performance analytics.
- Designed front-end dashboards to display structured datasets clearly and intuitively.
- Optimized performance metrics using Lighthouse analytics.
- Maintained version-controlled deployment pipelines.
- Worked directly with clients to identify useful data-driven features.
Contact
Let's connect — open to full-time roles and collaborations.
