Data Analyst & Storyteller

SAMUEL
NEGA

Transforming raw data into narrative-driven insights.
Predictive modeling · Business Intelligence · Visualization

2+
Years Experience
20+
Professional Projects Shipped
Scroll
01

QUEST LOG

// 2025 — PRESENT
Sales Operations Analyst
As a Sales Operations Analyst, I drive data innovation by building applications that enhance visualization and decision making for the sales team. I act as the go to expert for all data related needs, leveraging VBA/macros and Power Automate to automate reporting workflows and significantly improve operational efficiency.
XP GAINED ▶ SQL · PYTHON · EXCEL (PIVOT TABLES, MACROS, VBA) · DASHBOARDS · POWER APPS / POWER AUTOMATE
⬤ ACTIVE QUEST
💼
// 2024 — 2024
Data Analyst Internship
Worked as a data analyst intern, supporting the business intelligence team with reporting, dashboard development, and ad-hoc data analysis. Delivered actionable insights that improved key business metrics.
XP GAINED ▶ SQL · PYTHON · STAKEHOLDER COMMS
✓ QUEST COMPLETE
🎓
// 2019 — 2024
Ryerson University - Buisness Technology Management
Completed a degree in Buisness Technology Management with a focus on statistical analysis, data science, and applied mathematics. Built foundations in programming, database management, and analytical thinking.
XP GAINED ▶ STATISTICS · PROGRAMMING · ANALYSIS
✓ QUEST COMPLETE
02

PROJECTS

// Featured Project — Click to view on GitHub
REVENUE PREDICTION ENGINE

Built a multi-variable ML regression model that predicts quarterly revenue with 94.2% accuracy. Integrated with live Salesforce data pipelines and deployed as a real-time Power BI dashboard for C-suite decision-making.

PythonScikit-learnPower BISalesforce APIAzure ML
// NLP / Text Analysis — GitHub
SENTIMENT MARKET TRACKER

Real-time social media sentiment analysis pipeline monitoring 500K+ tweets/day to predict stock movement 6 hours ahead with 72% directional accuracy.

BERTSparkKafkaD3.js
// Customer Analytics — GitHub
CHURN INTELLIGENCE SYSTEM

End-to-end churn prediction model reducing customer attrition by 31%. Built automated intervention system triggering personalized outreach at 87% precision.

XGBoostSQLTableaudbt
// Supply Chain — GitHub
SUPPLY CHAIN OPTIMIZER

Geospatial optimization model reducing logistics costs by $2.3M annually. Uses graph theory and real-time traffic data for dynamic route recalculation.

NetworkXGeoPandasPlotlyFastAPI
03

TECH STACK

INITIALIZING DATA MATRIX...
// Analytics & Data
SQL96%
VBA85%
Python70%
R50%
// Tools
Excel95%
Power Apps85%
Power Automate82%
// Data Visualization
Power BI95%
Tableau87%
Looker70%
04

YOUTUBE CHANNEL

📊
18:42
// PROJECT WALKTHROUGH
Fraud Detection Project Only Using SQL & Excel.
2.1K1 Year Ago
🤖
24:17
// SQL
Hard SQL Scratascratch Question: Premium vs Freemium.
100 views1 Year Ago
🧮
31:55
// SQL
Hard SQL Data Lemur Question: Advertiser Status.
100 views1 Year Ago
// Replace INSERT_VIDEO_ID with your actual YouTube video IDs to activate links