# Certified Data Scientist | Senior Data Analyst | Predictive Modeling & Revenue Optimization | SQL, Tableau & Cloud Data Engineering ![[HeadShot.jpg|400]] ## Areas of Interest: ### 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 Studio 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 Studio|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)| |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| ---