Moeez Malik

DePauw Alum '26 · Business Analyst at Cable One

Data & Business Strategy

I turn complex operational and customer data into clear metrics, models, and dashboards, connecting analytics to decisions that move telecom and business forward.

2026
Internships4
Analytics projects20+
Leadership roles9+
Certifications7+

Top skills

Python · Power BI · SQL · MS Excel · Generative AI

DePauw University · Community Stories

Leadership should always include two things: initiative and empathy. If you don’t show those two things, you cannot be a good leader.

Moeez Malik · DePauw Spotlight, 2026
Read the full story

Data that drives decisions

I am a DePauw University Class of 2026 graduate with a dual background in Computer Science and Business Analytics, focused on using data to drive strategic decision-making.

My experience spans business analytics and data science across telecom and financial services. At Cable One, I worked on ETL optimization, Power BI dashboards, and churn modeling to support business intelligence initiatives. At Mastercard, I applied machine learning on large-scale transaction data to improve product recommendations and analyze customer behavior.

Beyond industry, I have led multiple campus initiatives and conducted applied analytics research, strengthening my ability to translate data into clear, actionable insights. I am particularly interested in roles that combine analytics, data science, and business strategy to drive meaningful impact.

Class

DePauw 2026

Role

Business Analyst

Industry

Telecom + BI

Moeez Malik, Business Analyst

Where I've worked

Internships and analytical roles across telecom, payments, and education.Click a card to expand details.

Cable One (Sparklight)

Business Analytics Intern, Business Intelligence

Cable One (Sparklight)·Phoenix, AZ

Most recent

11+ ETL pipelines30% latency ↓24-state BI rollout$420M context
  • Optimized 11+ Databricks ETL pipelines reducing latency by 30% and improving BI dashboard performance.
  • Built 3 Power BI dashboards with star-schema modeling to analyze broadband adoption across 24 states.
  • Developed churn prediction models in Python + SQL identifying key customer risk drivers for retention.
  • Presented Q2 BI deep-dive to executive leadership, directly informing a $420M acquisition discussion.
Visit Cable One (Sparklight)

Tools & platforms

Databricks
Power BI
Python
SQL
Tableau
AWS
Azure
Excel
React
GitHub

Analytics work

BI, analytics, and ML projects spanning telecom, markets, product, and housing. Each linked to GitHub.

Featured

Automated Business Decision Engine

Senior capstone Flask web app that ingests CSV business data, applies weighted risk rules, scores each record, and returns explainable High / Medium / Low classifications with SQLite history and a REST API.

Replaces routine manual analyst review with a transparent, testable decision pipeline (60 automated tests + CI).

Python · Flask · SQLite · pytest · GitHub Actions

View on GitHub

Instagram Product Analytics & AI Insights

Full-stack product analytics platform inspired by Meta’s Instagram team, with executive KPIs, funnels, A/B testing, churn/Prophet forecasting, SHAP explainability, and a LangChain AI analyst over synthetic event data.

One portfolio system covering BI, experimentation, ML, and natural-language analytics end to end.

Python · Streamlit · SQL · scikit-learn · Prophet · LangChain

View on GitHub

ETF Portfolio Monitoring & Trade Reconciliation

Operations platform for daily ETF portfolio monitoring, covering NAV and returns, trade/settlement/cash reconciliation, exception detection, and reporting via Streamlit dashboards and exports.

Automates the ingest → reconcile → exception → report loop used by asset-management ops teams.

Python · Streamlit · SQL · Power BI

View on GitHub

Customer Churn & Revenue Optimization

Analyzed 2M+ transaction records with Python and SQL (DuckDB) to identify churn drivers and revenue leakage, with Streamlit KPI dashboards and a gradient-boosting churn model.

AUC-ROC 0.90 with ~20% fewer false positives, for sharper retention targeting and leakage visibility.

Python · SQL · DuckDB · scikit-learn · Streamlit

View on GitHub

Broadband Adoption BI Dashboard

Power BI star-schema executive suite for broadband adoption across 24 states, with adoption rate, penetration, gap analysis, and trend monitoring (de-identified for portfolio).

Single scalable BI source improving cross-market visibility for leadership.

Power BI · SQL · DAX · star schema

View on GitHub

AI-Powered Financial Assistant: Ask Moeez

J.P. Morgan-inspired AI agent using LangChain and the OpenAI API to automate financial analysis (DCF, churn insights, retention economics) for faster BI workflows.

Reduced analysis time by 43% while enabling faster, data-driven decision making.

LangChain · OpenAI API · Python

View on GitHub

Housing Price Prediction & Analysis

Regression pipeline on the California Housing dataset with EDA, feature engineering, and Random Forest vs Gradient Boosting with ranked price-driver importances.

Best model R² 0.81 with ~$33K MAE, telling a clear story from raw housing features to interpretable drivers (income, occupancy, location).

Python · pandas · scikit-learn

View on GitHub

Certifications

Industry-recognized data, BI, and cloud credentials.

Microsoft Power BI PL-300

Microsoft

Google Data Analytics

Google

IBM Python for Data Science

IBM

Microsoft Azure Fundamentals

Microsoft

Excel Best Practices

Training the Street

Excel & SQL for Finance

Training the Street

Databricks Lakehouse Fundamentals

Databricks

Tableau Desktop Specialist

Tableau

Leadership Experiences

9 concurrent roles spanning founder positions, international student advocacy, admissions, academic support, and cultural community. Held alongside a full academic load and four internships.

AI
Founder

AI in Business Club

Founder & President

Launched and leads a student organization applying AI to business, analytics, and product strategy. Building workshops and industry connections.

LinkedIn
ISA
International

International Student Affairs

Lead Ambassador

Represents the international community on key campus initiatives, orientation, and policy discussions. Serving 200+ international students annually.

Ambassador spotlight
GDG
Tech Lead

Google Developer Group

Programming Lead

Directs hands-on events and project tracks connecting peers with data, ML, and software skills.

GDG
MSA
President

Muslim Students Association

President

Leads the MSA community at DePauw. Coordinating cultural programming, weekly gatherings, and inter-faith dialogue across campus.

PSA
Founder

Pakistani Student Association

Founder

First-ever Pakistani student organization at DePauw. Cultural events, mentorship for incoming international students, and South-Asian community building.

SAB
Governance

Student Advisory Boards

Student Voice

Serves on institutional committees representing student perspectives on academic policy, campus life, and strategic initiatives.

DA
Admissions

Admissions Liaison & Campus Tour Guide

DePauw Admissions

Led prospective-student tours and represented DePauw's academic and cultural identity to thousands of visiting families.

DePauw Admissions
SC
Tutoring

Speaking & Listening Center Tutor

DePauw S Center

Coached peers on communication, presentation delivery, and interview prep across disciplines. At DePauw's Learning Commons.

S Center
ROW
Library

DePauw Library Student Worker

Roy O. West Library

Supported library operations and research assistance while managing a full academic and internship schedule.

DePauw Library

9+ concurrent roles alongside full academics, four internships, and three org presidencies. Sustained community commitment at every level.

See full profile on LinkedIn →

Publication

DePauw Scholarly Commons and the Business Analytics Commons.

Capstone thesisDePauw University Student ResearchApril 2026

Predicting Telecom Customer Churn: A Statistically Validated KPI Framework with Machine Learning and Revenue Impact Modeling

Moeez Islam Malik '27 · Amy Ehinomen Eremionkhale

A KPI-led churn framework on 7,043 telecom customer records. Pearson correlation, chi-square tests, and logistic regression (AUC-ROC 0.83). Tenure and contract type emerge as dominant drivers; a 5-point churn cut preserves ~$274K annual revenue and $1.55M in CLV.

AUC-ROC 0.837,043 customersPower BI dashboardRevenue impact
Read on DePauw Scholarship ↗

Contact

Let's talk data & strategy.

BI, telecom analytics, and data strategy. Open to roles and serious collaborations.

Send a note

Direct to my inbox. Usually a quick reply.

0/800