Skills & Expertise

Programming
& Analysis

Python

Pandas, NumPy, scikit-learn, TensorFlow, PySpark workflows

PostgreSQL

Schema design, indexing, query optimization, analytics modeling

R

Statistical analysis, hypothesis testing, predictive modeling

Jupyter

Notebook-based analysis, experimentation, model prototyping

NumPy

Vectorized computation, numerical methods, performant transforms

Pandas

Data wrangling, feature engineering, time-series preparation

Data Engineering
& Platform

Apache Airflow

DAG orchestration, dependency management, scheduled workflows

Apache Spark

Distributed compute, large-scale transforms, ETL acceleration

Databricks

Lakehouse workflows, notebook collaboration, production jobs

Docker

Containerized services, reproducible environments, local parity

dbt

Modular SQL transforms, testing, documentation, lineage tracking

GitHub Actions

CI/CD pipelines, automated checks, deployment workflows

Cloud
& Warehousing

AWS

Redshift, Glue, Lambda, S3 data platform architecture

Azure

Analytics services, storage integration, enterprise deployment

Google Cloud

Managed analytics services and scalable cloud-native workloads

Snowflake

Warehouse modeling, secure sharing, performance tuning

BigQuery

Serverless analytics, partitioned tables, high-volume SQL

Data Warehousing

Dimensional modeling, governance standards, data quality controls

ML
& Visualization

scikit-learn

Feature pipelines, model validation, classical ML productionization

TensorFlow

Neural networks, deep learning experiments, model iteration

PyTorch

Model prototyping, experimentation, GPU-enabled training

Power BI

DAX modeling, semantic layers, executive-ready reporting

Looker

LookML modeling, governed explores, self-serve analytics

Microsoft Excel

Advanced formulas, pivots, scenario analysis, stakeholder delivery

Domain Expertise

Product Analytics
Revenue Optimization
Fraud Detection
Customer Retention
KPI Development
Data Governance
Cross-functional Leadership
Stakeholder Communication