Hydroficient logoCurrently an Extern @Hydroficient

Aspiring Marketing Analyst

I am passionate about data analytics and consumer behavior, aiming to shape marketing strategies for global brands.

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Work samples

Explore my hands-on experiences in marketing and data analytics, focusing on consumer behavior and market insights.

  • Beats by Dre Consumer Behavior & Market Analysis Externship
    Beats by Dre Consumer Behavior & Market Analysis Externship
    Beats By Dre logo

    Beats By Dre · May 2026 · ✅ Verified by Extern

    Beats by Dre Consumer Behavior & Market Analysis Externship

    Discover how top brands like Beats by Dre turn consumer insights into products people can’t resist. Dive into the psychology of buying decisions, master survey design, and use cutting-edge AI tools to analyze real consumer data. In this externship, you’ll gain hands-on experience shaping marketing strategy for a leading global brand—perfect for anyone curious about marketing, psychology, or product innovation.

    Data AnalysisMarket ResearchPresentation Skills

About me

I am passionate about data analytics and consumer behavior, aiming to shape marketing strategies for global brands.

I'm at the beginning of my career journey, eager to explore the world of marketing and data analytics. My recent externships with Beats by Dre have provided me with valuable insights into consumer behavior and market analysis, fueling my passion for understanding what drives purchasing decisions.

Externships

Hydroficient IoT Cyber Defense Externship

Hydroficient

Experience

Data Analytics Extern | Beats by Dre Consumer Behavior & Market Analysis

Extern (extern.com) · February 2026 - April 2026

Facilities Assistant

Student Housing, Trent University · April 2025 - April 2026

Service Centre Assistant

Student Housing, Trent University · October 2024 - April 2026

Education

Trent University

Bachelor of Science (Honours) in Computer Science | Data Analytics Specialization · Class of 2027

Skills

Data AnalyticsConsumer BehaviorMarket AnalysisSurvey DesignSentiment AnalysisPythonAI Tools
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Beats By Dre · May 2026 ↗

✅ Verified by Extern

Beats by Dre Consumer Behavior & Market Analysis Externship

Discover how top brands like Beats by Dre turn consumer insights into products people can’t resist. Dive into the psychology of buying decisions, master survey design, and use cutting-edge AI tools to analyze real consumer data. In this externship, you’ll gain hands-on experience shaping marketing strategy for a leading global brand—perfect for anyone curious about marketing, psychology, or product innovation.

Data AnalysisMarket ResearchPresentation Skills

Overview

The externship collected and analyzed consumer feedback to surface product pain points and behavior patterns. Work included generating a top-5 pain-point JSON and an interactive radar-chart app, mapping complaints across the AIDA journey with a downloadable map and dashboard, building and launching a 10-question Google Form with outreach copy, and analyzing ~507 responses into segments, themes,

Beats by Dre Consumer Behavior & Market Analysis Externship
Google Sheets
Access

What I've accomplished

I produced an interactive radar-chart app from customer complaints, a downloadable AIDA journey map with dashboard, a live 10-question Google Form plus outreach flows, a segmented analysis of ~507 responses with visualizations, and a Gamma slide deck accompanied by a Claude dashboard.

Project breakdown

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Beats By Dre · Aug 2026 ↗

✅ Verified by Extern

Beats by Dre Data Analytics: Qualitative & Quantitative Insights Externship

A data analytics externship with Beats by Dre focused on extracting qualitative and quantitative consumer insights from reviews and survey responses.

Data AnalysisPython

Overview

The work analyzed consumer feedback from a 513-review dataset and Google Forms responses using Python data cleaning, statistical summaries, thematic coding, and sentiment analysis. Deliverables included a ranked pain-point table cross-validated against five secondary sources, a multi-sheet AIDA journey map for a Gen Z buyer, cleaned survey analytics with ownership and satisfaction statistics, and

Beats by Dre Data Analytics: Qualitative & Quantitative Insights Externship
Google Docs
Access

What I've accomplished

I produced a ranked pain-point table validated against five secondary sources, a multi-sheet AIDA customer journey map embedding those pain points for a Gen Z buyer, cleaned survey analytics with descriptive and correlation statistics plus coded open-text themes, and a cleaned 513-review dataset with per-product breakdowns and sentiment results.

Project breakdown

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Customer Churn Prediction

Objective: Identify key drivers of churn in a telecom dataset and build predictive models to support customer retention. Tasks: • Cleaned and analyzed 7,000+ customer records using EDA and feature engineering to uncover churn patterns • Built Logistic Regression (80.7%), Random Forest (79%), and XGBoost (79%) models; selected best fit by accuracy and interpretability. Outcome: Fully documented model with business insights published on GitHub (github.com/Bellomk77).

PythonScikit-learnXGBoost
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Sales Performance Dashboard

Objective: Analyze 10K+ retail records to track revenue, regional performance, and profitability for executive reporting. Tasks: • Cleaned and aggregated Superstore dataset; built interactive Tableau dashboard visualizing Sales, Profit Margin, and Category KPIs. Outcome: Published on Tableau Public - end-to-end BI workflow from raw data to stakeholder-ready insights.

Tableau
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