# Data Analyst | Data Analytics Engineer | Data Scientist | LookML Developer | DBT Developer | SQL, Tableau & Cloud Data Engineering ![[HeadShot.jpg|400]] ## Areas of Interest: ### DBT Development: I build modular, testable DBT pipelines that transform raw data into reliable, analytics-ready models—enabling fast, trusted insights and reducing analyst bottlenecks. ### LookML Modeling I design LookML models that turn complex datasets into intuitive, self-serve analytics tools—empowering teams to explore data confidently without writing SQL. ### Predictive Modeling: I build predictive models that help businesses anticipate customer behavior, optimize pricing, and plan with confidence. ### Data Visualization I design interactive dashboards using Tableau and Looker/LookML to translate complex datasets into clear, actionable insights. ### Marketing & Revenue Analytics I analyze customer data to identify growth opportunities, increase retention, and guide strategic marketing efforts. ### Statistical Inference & Testing I apply statistical methods like A/B testing and Bayesian analysis to validate assumptions and inform data-driven decisions. ### Data Engineering & Infrastructure I develop automated data pipelines that ensure timely, accurate access to critical business information at scale. ### Stakeholder Communication I distill technical analysis into compelling stories that resonate with cross-functional teams and executive leadership. ### Natural Language Processing I leverage NLP techniques to extract meaning and insights from unstructured customer data and product feedback. --- ## Tools & Technologies ### Data Analysis & Visualization | Tools | Languages | | ------------------ | --------- | | Tableau | Python | | Looker/LookML | SQL | | Matplotlib | R | | Seaborn | Bash | | Plotly | JSON | | Google Data Studio | XML | | Excel | | | Google Sheets | | --- ### Machine Learning & AI |Frameworks & Libraries|Concepts & Techniques| |---|---| |Scikit-learn|Supervised & Unsupervised Learning| |TensorFlow|Tree-Based Models, Ensemble Methods| |PyTorch|Support Vector Machines (SVM), KNN| |XGBoost|Clustering, PCA| |LightGBM|Time Series Forecasting (ARIMA, Seasonal)| |SpaCy, NLTK|NLP, Sentiment Analysis, Text Classification| --- ### Statistical & Mathematical Modeling |Techniques & Tools|Applications| |---|---| |A/B Testing, ANOVA|Price Elasticity Modeling| |Bayesian Statistics|Cohort Analysis| |Regression, Chi-Square, Hypothesis Testing|Lifetime Value (LTV) Analysis| --- ### Data Engineering & Transformation | Data Processing & ETL | Tools & Platforms | | ------------------------------- | --------------------------------------- | | Custom ETL Pipelines | DBT (Data Build Tool)/LookML | | Data Wrangling & Transformation | Google Cloud Composer (Airflow) | | Data Cleaning | Google Cloud Functions, Cloud Scheduler | | | Google BigQuery | --- ### Databases & Storage |SQL & NoSQL|Cloud Platforms| |---|---| |PostgreSQL|Google Cloud Platform| |MySQL|Cloud Storage| |MongoDB|| --- ### ML Lifecycle & Experimentation |Tools|Use Cases| |---|---| |MLflow|Experiment Tracking, Model Lifecycle| |Docker|Model Packaging (basic familiarity)| |Kubernetes|Container Orchestration (light use)| --- ### DevOps, CRM, and BI |Version Control|CRM & Marketing Tools|Business Intelligence| |---|---|---| |Git, GitHub|HubSpot, Salesforce|Google Analytics, Shopify| ||Google Tag Manager, Stripe|Facebook Ads, Domo| ---