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1
SYSTEM.STATUS: ONLINE // AVAILABLE_FOR_WORK

Data is just
Potential Energy.

I build the pipelines, models, and dashboards that convert that energy into kinetic business growth.

Explorer Project Data Execute: Contact
live_metrics_v2.json
+24%
8.4M
Rows Processed
98%
12ms
Query Latency
5+
Year Experience
140+
Projects Shipped
40TB
Data Processed
99.9%
Accuracy Rate

Tech Stack & Capabilities

Python
98%
SQL
95%
Tableau
90%
R
85%
TensorFlow
80%
BigQuery
88%
case_studies.root

Selected Investigations

A curated selection of problems I've solved using data science and analytical frameworks.

ID: 01

Predictive Churn Engine

An end-to-end pipeline that identifies at-risk customers 30 days before churn events using Random Forest classifiers.

85% Retention Boost
PythonScikit-LearnFastAPI
ID: 02

Real-Time Market Pulse

Live Tableau dashboard streaming financial data to visualize market volatility and intraday trends for day traders.

1.2M Records/Sec
TableauSQLKafka
ID: 03

Logistics Optimization

Route optimization algorithms reducing delivery times by 18% across 4 major metropolitan areas.

$2.4M Saved
RArcGISPostGIS
contact_leo.sh
➜ ~/leo-das git commit -m "Looking for new opportunities"
[master 8f2a1b] looking for new opportunities
1 file changed, 12 insertions(+)
create mode 100644 open_to_work.txt
➜ ~/leo-das cat contact_info.json
{
"status": "Available",
"email": "leo.das@analytics.dev",
"linkedIn": "/in/leodas-data",
"rate": "Ask for details"
}
➜ ~/leo-das
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