Data Science & Analytics Ecosystem

Data Science Universe

I build solutions that cover the entire data lifecycle, optimized for business value from problem framing to production-ready models.

The capability map below compiles every concept and competency covered by modern data science and data analytics.

Strategy, data engineering, statistics, machine learning, MLOps and data storytelling -- every layer builds on the previous one so raw data becomes decisions.

01

Data Strategy & Business Context

Translate business objectives into KPI networks, opportunity maps, and decision frameworks.

Business UnderstandingValue MappingStakeholder Alignment

02

Data Architecture & Platform Engineering

Design modern data stacks, warehouses, and real-time infrastructures that scale with demand.

Modern Data StackCloud WarehousesStreaming Fabric

03

Data Acquisition, Integration & ELT

Connect operational sources, harmonize schemas, and orchestrate automated pipelines.

Data EngineeringAPIs & StreamingETL / ELT Pipelines

04

Data Quality, Metadata & Stewardship

Govern lineage, establish golden records, and encode quality plus privacy controls.

Data ProfilingMetadata CatalogPrivacy Controls

05

Exploratory Analysis & Statistics

Surface patterns, validate hypotheses, and apply statistical reasoning.

EDAHypothesis TestingSegmentation

06

Descriptive BI & Visualization

Create information hierarchy, UX, interactive dashboards, and self-service spaces.

Dashboard DesignSelf-Service BIKPI Monitoring

07

Diagnostic Analytics

Reveal causal relationships, perform process mining, and explain deviations.

Root Cause AnalysisProcess MiningAnomaly Detection

08

Predictive Modeling & Machine Learning

Design regression, classification, time-series, and deep learning solutions tied to business KPIs.

Regression & ClassificationTime-Series ForecastingFeature Engineering

09

Prescriptive Analytics & Optimization

Identify intervention paths through simulations, scenarios, and optimization models.

What-if SimulationScenario PlanningOptimization Models

10

Experimentation & Causal Inference

Plan experiments, measure impact, and produce rigorous causal evidence.

A/B TestingUplift ModelingCausal Impact

11

Responsible AI, Ethics & Governance

Embed privacy, fairness, compliance, and risk controls across every model and dashboard.

Responsible AIBias MonitoringPrivacy by Design

12

MLOps, Operations & Enablement

Manage model lifecycles, run operations, and scale education plus data literacy.

Deployment PipelinesModel MonitoringData Literacy
COMPLETED

Retail Revenue Intelligence Platform

Unified 24 months of POS and eCommerce data into governed dbt models powering a Power BI control tower that exposes promo ROI, cohort health, and store-level margin leakage in one place.

Tech Stack

dbtPower BISnowflakeFivetran
12%
Gross Margin Lift
65
Executive KPIs
IN PROGRESS

Customer Segmentation & CLV Accelerator

Built an end-to-end clustering and lifetime value framework that scores every visitor daily, feeds campaign personalization, and exposes upsell triggers across product families.

Tech Stack

Pythonscikit-learndbtPower BI
6
Persona Clusters
18%
CLV Uplift
COMPLETED

SaaS Churn Prediction Engine

Designed a weekly scoring pipeline that blends product telemetry, billing signals, and support sentiment to predict churn risk and trigger playbooks inside HubSpot with SHAP explainability.

Tech Stack

PythonXGBoostAirflowFeast
0.89
ROC-AUC
22%
Churn Reduction
LIVE

Supply Chain Control Tower

Streaming telemetry from ERP, WMS, and IoT gateways into a single command center with anomaly alerts, ETA predictions, and exec-ready scorecards.

Tech Stack

KafkaBigQuerydbtLooker
15 min
Alert SLA
45%
Faster Escalations

Delivery blueprint

Data foundations with built-in trust signals.

Every engagement runs on a repeatable telemetry loop (capture, model, narrate, activate) so insights keep compounding without sacrificing governance.

Source health checks
Model explainability
Narrative QA

Latency

< 90s

Streaming refresh for executive dashboards.

Coverage

12 regions

Localized compliance rules baked into ETL.

Playbook

Capture -> Model -> Story -> Activate

Week 1 discoveryWeek 2 prototypingWeek 3 testingWeek 4 enablement

Analytics Arsenal

Tools and technologies I leverage to unlock data insights

Py
Python
R
R Studio
SQL
SQL
ML
Machine Learning

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