DataDock

Charting My Analytics Voyage

Welcome aboard! This is my personal archive—a logbook of data projects, tools mastered, insights discovered, and lessons learned while navigating the vast ocean of analytics.

24 Projects Launched
14 Tools Mastered
$4.8M Impact Generated

Project Voyages

A collection of data analytics expeditions—each project a unique journey with its own discoveries and destinations.

Machine Learning
2024-01
Customer Churn Prediction
Built a machine learning model to predict customer churn with 89% accuracy, helping reduce attrition by 23%.

TECH STACK

Python
Scikit-learn
Pandas
Tableau

Discovered that customer service interactions were the strongest predictor of churn, not pricing.

Accuracy

89%

ROI

$2.3M

Visualization
2023-11
Sales Dashboard Redesign
Redesigned executive sales dashboard, reducing report generation time from 4 hours to 15 minutes.

TECH STACK

Power BI
SQL
DAX
Azure

Real-time data visualization improved decision-making speed by 67%.

Time Saved

225 min

Users

150+

Business Analytics
2023-09
Market Basket Analysis
Analyzed 2M+ transactions to uncover product affinity patterns, driving $450K in cross-sell revenue.

TECH STACK

R
SQL
Apriori
ggplot2

Found unexpected product bundles that increased average order value by 18%.

Revenue Impact

$450K

AOV Increase

+18%

NLP
2023-07
Sentiment Analysis Pipeline
Automated social media sentiment analysis processing 10K+ posts daily across multiple platforms.

TECH STACK

Python
NLTK
AWS Lambda
MongoDB

Real-time sentiment tracking helped PR team respond 3x faster to negative trends.

Posts/Day

10K+

Response Time

-67%

Operations
2023-05
Supply Chain Optimization
Built optimization model reducing inventory costs by $1.2M while maintaining 99% fulfillment rate.

TECH STACK

Python
PuLP
PostgreSQL
Streamlit

Dynamic reordering algorithm adapted to seasonal patterns automatically.

Cost Savings

$1.2M

Fulfillment

99%

Experimentation
2023-03
A/B Testing Framework
Designed company-wide A/B testing framework, enabling 50+ experiments per quarter with statistical rigor.

TECH STACK

Python
SciPy
Docker
Looker

Bayesian approach reduced experiment duration by 30% while maintaining confidence.

Experiments

50+/Q

Time Saved

30%

Tools & Skills Arsenal

The navigation instruments and tools I've mastered throughout my analytics journey—each one essential for charting the right course.

Programming
Python
95%
SQL
90%
R
80%
Visualization
Tableau
85%
Power BI
82%
ML/AI
Scikit-learn
88%
TensorFlow
75%
Databases
PostgreSQL
87%
MongoDB
78%
Cloud
AWS
80%
Azure
75%
Core
Statistics
92%
Data Visualization
90%
Machine Learning
85%
Expert (90%+)
Advanced (80-89%)
Proficient (<80%)

Captain's Log

Key insights, lessons learned, and "aha!" moments discovered along the voyage—wisdom earned from navigating through data storms and calm analytical waters.

Voyage Dashboard

Real-time metrics and progress tracking from my analytics journey—where data meets reflection.

Projects Completed
24
+6
Skills Mastered
14
+3
Impact Generated
$4.8M
+$1.2M
Hours of Learning
320
+80
Monthly Progress
Projects completed over time
Project Categories
Distribution by type