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I help e-commerce and digital brands improve marketing ROI, increase conversions, reduce churn, and scale profitably using Marketing Analytics, Machine Learning, Artificial Intelligence, predictive modeling, and causal inference. With 10+ years of experience in data science and analytics, I build data-driven systems that help businesses optimize ad spend, forecast demand, improve customer retention, and make better growth decisions using measurable data insights. I specialize in Marketing Mix Modeling (MMM), attribution analysis, forecasting, customer analytics, and growth-focused machine learning systems. Proven Impact * Reduced cart abandonment by 25% using predictive modeling and cohort analysis * Improved marketing efficiency and ROAS through Bayesian Marketing Mix Modeling (MMM) * Built AI-driven pricing systems that improved revenue performance and pricing strategy * Increased customer retention and lifetime value using segmentation and personalization models * Developed attribution and analytics systems for data-driven marketing optimization * Built forecasting systems for demand planning and operational decision-making What I Help Businesses Achieve Marketing Analytics & Growth Optimization * Marketing Mix Modeling (MMM) * Budget optimization and media allocation * Funnel analysis and conversion optimization * Customer journey and behavioral analytics * Multi-touch attribution and incrementality analysis * Customer Lifetime Value (LTV) and cohort analysis * Meta Ads and Google Ads performance diagnostics * A/B testing and experimentation * Real-time analytics dashboards and reporting systems Predictive Modeling & Data Science * Demand forecasting and inventory optimization * Churn prediction using survival analysis * Customer segmentation and personalization * Recommendation systems * Pricing optimization models * Fraud and anomaly detection * Predictive analytics for growth and operations Causal Inference & Advanced Analytics * Difference-in-Differences (DiD) * Bayesian Structural Time Series (BSTS) * Synthetic Control methods * Geo-level MMM and lift-test integration * Incrementality and elasticity analysis * Scenario planning and forecasting Selected Projects 🔹 Marketing Mix Modeling (MMM) System Built Bayesian MMM models using PyMC and NumPyro to measure channel effectiveness, optimize budget allocation, and improve ROAS across paid media channels. 🔹 E-commerce Churn Prediction System Developed survival analysis and cohort models using Shopify and GA4 data to identify churn risk, improve retention, and reduce cart abandonment by 25%. 🔹 AI Dynamic Pricing Engine Built a machine learning pricing system using demand forecasting and competitor analysis to optimize pricing strategy and maximize revenue performance. 🔹 Attribution & Growth Analytics Platform Designed analytics systems for Meta Ads and Google Ads performance analysis, attribution modeling, and customer acquisition optimization. Typical Projects I Handle * Marketing Mix Modeling (MMM) * Attribution modeling * Forecasting and demand planning * E-commerce analytics * Growth analytics * Customer segmentation * Churn prediction * Pricing optimization * Meta Ads & Google Ads analytics * Conversion and funnel optimization * Analytics dashboards and reporting systems Tech Stack Python, SQL, R, PyMC, NumPyro, Scikit-Learn, TensorFlow, Spark, BigQuery, Snowflake, Power BI, Tableau, Looker Studio, GA4, Meta Ads, Google Ads, Shopify, Klaviyo Why Clients Work With Me * Strong blend of data science, marketing analytics, and business strategy * Experience building scalable analytics and ML systems * Focus on measurable ROI, profitability, and growth impact * Ability to translate complex data into actionable business decisions * Deep expertise in MMM, attribution, and causal inference Let’s Work Together If you're looking to improve marketing ROI, optimize ad spend, forecast demand, reduce churn, or build advanced analytics systems that drive measurable business growth, I’d be happy to help.

I’m Clinton, a Data Scientist with 8+ years of hands-on experience in data engineering, analytics, and automation. My focus is on creating reproducible, scalable, and impactful data solutions, from interactive dashboards to automated pipelines and predictive models. 💡 Core Expertise 🗺 Spatial & Geospatial Analytics - Advanced spatial workflows using R, Python, and Google Earth Engine - Poverty and vulnerability mapping using small area estimation and related methods - Disaster risk and impact modeling, including flood, drought, and displacement analytics - End-to-end geospatial data engineering, from data extraction and transformation to automated spatial pipelines and managing geospatial databases with PostgreSQL/PostGIS, and DuckD - Handling diverse geospatial data formats: GeoTIFF, shapefiles, GeoJSON, and satellite imagery - High-quality cartographic visualization and interactive mapping with R (leaflet, ggplot2), Python (geopandas, folium), Google Earth Engine Apps, and Shiny dashboards 📊 Data Visualization & Dashboards - Expert in R Shiny, Power BI, and Looker Studio — building interactive, data-driven dashboards that translate complex insights into compelling visuals - Specialized in high-performance Shiny apps, leveraging asynchronous programming (callr, future, mirai) and reactive optimization for smooth, scalable user experiences - Strong grasp of UI/UX design principles — crafting dashboards that are intuitive, visually engaging, and tailored to end-user needs - Custom branding and theming to align dashboards seamlessly with client identity and design guidelines - Skilled in advanced data visualization using ggplot2, plotly, and leaflet, combining aesthetic storytelling with analytical rigor - Integration of geospatial layers (maps, raster tiles, and dynamic spatial filters) into dashboards for location-aware insights - End-to-end dashboard automation and deployment, including: Continuous integration with GitHub Actions, Docker, and webhooks - Secure hosting via Shiny Server, ShinyProxy, or cloud-based containers - Expertise in data pipeline integration, connecting dashboards directly to live databases (PostgreSQL, DuckDB, APIs) for automated updates and reproducibility - Full dashboard deployment on Shiny Server / ShinyProxy deployment, and CI/CD integration ⚙️ Data Engineering & Automation - End-to-end pipelines using R, Python, and Bash scripting - CI/CD with GitHub Actions, Docker, and webhooks - Async workflows with callr, future, and promises - Databases: PostgreSQL, MySQL, SQLite, and DuckDB 🤖 Machine Learning & MLOps - Predictive modeling with xgboost, caret, scikit-learn, and TensorFlow - Reproducible model management - Automated retraining and REST API integration 🌍 Trusted by Global Organizations I’ve supported data-driven decision-making for organizations such as UNICEF, FCDO, IFAD, CGIAR, and the Green Climate Fund, delivering projects spanning poverty mapping, forest monitoring, displacement analysis, and renewable energy modeling. 🤝 Why Work With Me 1. I listen first: to understand your goals and challenges clearly. 2. I collaborate transparently, providing regular updates and clear timelines. 3. I deliver reliably: production-ready, efficient, and well-documented work.

Hi, I’m Pauline, an AWS Authorized Instructor and Cloud Solutions Architect with over 4 years of experience working across cloud engineering, DevOps practices, and technical training in global environments. I specialize in helping individuals and teams move from theory to real-world AWS implementation. I’ve trained 500+ learners across different regions, supporting them from foundational cloud concepts to certification and hands-on project work. My approach is practical and structured. I focus on helping you understand not just how AWS services work, but how they are used together in real production environments. From a technical perspective, I work extensively with AWS services including EC2, S3, IAM, VPC, RDS, Lambda, CloudWatch, and Route 53. I also bring experience with DevOps and infrastructure tooling such as Terraform, Docker, Kubernetes, and CI/CD pipelines, and I’ve supported teams in setting up scalable and secure cloud environments using these tools. I have a strong focus on cloud security and governance, including IAM best practices, network security, and secure system design. I’ve also worked with tools like Barracuda Email Security and supported organizations in improving their overall cloud reliability and operational efficiency. Beyond delivery, I’ve contributed to building cloud training programs, developing technical content, and guiding teams on how to adopt cloud technologies effectively. What clients appreciate most is my ability to break down complex concepts, adapt to different learning levels, and provide guidance that is both practical and immediately useful. If you’re looking for someone who brings both technical depth and the ability to clearly guide you through AWS and cloud systems, I’d be happy to work with you.

I am a Data Analyst and Data Science professional specializing in transforming raw data into clear, actionable insights that support informed business decisions. My core strength is in data analysis, reporting, and visualization, with strong capability in applying data science techniques where deeper insight and predictive understanding are required. With a solid academic background in Mathematics, Physics, and Information Technology, I bring strong analytical thinking and structured problem-solving to every dataset. I focus on helping businesses understand their data clearly through clean analysis, meaningful visualization, and well-structured reporting. I support clients by cleaning and organizing datasets, performing exploratory data analysis (EDA) to identify trends, patterns, and relationships, and building dashboards and reports that make data easy to interpret and act on. I also automate reporting and data workflows using Excel tools such as Power Query, VBA, and Macros, improving efficiency and reducing manual effort. In addition, I use Python and SQL to handle more advanced data processing, transformation, and analytical tasks. My technical toolkit includes advanced Excel (Pivot Tables, dashboards, Power Query, VBA, Macros), SQL (SQLite) for data querying and structuring, and Python (Pandas, NumPy, Matplotlib) for analysis and visualization. I also apply data science techniques such as statistical analysis and machine learning methods where appropriate to enhance insights and support forecasting, classification, and pattern detection. I am also capable of building interactive dashboards using tools such as Power BI and Tableau for professional reporting and business monitoring. My focus is delivering clean datasets, insightful dashboards, and meaningful analysis that directly support decision-making. I combine strong analytical foundations with data science capability to provide deeper insights when needed, without losing focus on clarity, accuracy, and business value. If you are looking for a reliable Data Analyst who can clean your data, uncover insights, build dashboards, and also apply data science techniques when needed to deepen analysis and improve decisions, I am ready to support your project.

5+ years of experience 📞 Excellent Communication 🕛 Full Time Availability 🚀 Top Rated Plus 🏅 Certified Data Visualization & Engineering Expert I help businesses turn raw data into powerful dashboards, streamlined workflows and actionable insights. What I offer: - Dashboard Development: Looker Studio, Looker, Microsoft Power BI (DAX & Power Query), Tableau, Metabase, AWS Quicksight, Google Data Studio, LookML - Data Engineering & Transformation: ETL pipelines, SQL & Python scripting, dbt, Snowflake, Google BigQuery, - Data Reporting - Google Analytics, GA4, Jet Admin, Superset, Redash, Retool, Domo, Klipfolio, Periscope, Grafana, Sisense, AirTable, Grow, etc. Growth Metrics. Shopify Reports, E-commerce Reports, etc - Automation & Integration: API-based workflows, Zapier, Google Apps Script - Forecasting & Analysis: Trend analysis, business reporting, performance tracking Technical Skills: - BI Tools: Looker Studio, Power BI, Tableau, Google sheets, Metabase, AWS Quicksight, LookML, - Languages: SQL, Python (Pandas, NumPy), JavaScript - Databases: Snowflake, Google BigQuery, PostgreSQL, MySQL - Workflow Automations: n8n, Make.com, Dagster, Airflow - Cloud & Automation: AWS, Zapier, API integrations I've delivered 100+ data projects across healthcare, finance and tech, including for global firms like Roche and data-first startups. My focus is on creating scalable, insightful solutions that save time and drive better decisions. Let’s work together to unlock the full value of your data. 📩 Message me to discuss your project. Keywords: Best Looker Studio Expert and Dashboard Specialist Freelancer, Looker Studio, LookerML, Google Data Studio, Google Looker Studio, Dashboards, Dashboard Specialist, Dashboard Design, Data Visualization, Interactive Dashboards, Visual Reporting, Financial Reporting, Google Sheets, GA4, Google Analytics 4, GTM, Google Tag Manager, Data Analytics, Data Analysis, Data Insights, Business Intelligence, BI, Analytics, Data Driven, Data Storytelling, Data Reporting, KPI, Metrics, Performance Management, SQL, BigQuery, Snowflake, ETL, Data Engineering, Cloud Analytics, Business Analysis, Analytics Consultant, Visualization Expert, Data Analytics Expert, Freelance Data Analyst, Self Service BI

TOP-RATED PLUS | 99% Job Success | 41+ Projects | 7+ Years Experience 🚀 Senior Software Engineer | Low-Code & No-Code Architect | Systems Integration Factotum | DevOps Python | OpenClaw | Odoo | n8n | Make | Zapier | Power Automate | Airtable | Low-Code | No-Code I am a versatile Software Engineer and Integration Factotum who specializes in connecting bespoke software ecosystems, engineering custom data pipelines, and bridging the gap between completely isolated business applications using a hybrid mix of custom code, low-code, and no-code platforms. I build production systems that actually work in real business environments—not just setups that look good on paper. My work sits at the intersection of backend engineering, DevOps cloud infrastructure, and low-code/no-code workflow automation. If your current software platforms do not communicate with each other, I build the custom middleware, API configurations, and automated data pipelines that bridge them seamlessly. I specialize in less-code and hybrid automation development—leveraging agile no-code visual builders for speed, while writing native Python and JavaScript code to bypass platform limitations. Whether you need to integrate a customized Odoo ERP environment, orchestrate autonomous OpenClaw multi-agent AI workflows, sync relational no-code hubs like Airtable, or connect disparate platforms via n8n, Make, Zapier, or Power Automate, I design the "glue" that makes your entire tech stack function as a unified system. 🔧 CORE AREAS OF EXPERTISE 1. Low-Code & No-Code Workflow Automation (n8n, Make, Zapier, Power Automate) Multi-Platform Orchestration: Designing and maintaining complex, fault-tolerant, low-code automation pipelines using n8n (self-hosted or cloud), Make (Integromat), and Zapier. Enterprise Windows Automation: Utilizing Microsoft Power Automate to connect legacy desktop applications, SharePoint, and Microsoft 365 environments with modern cloud platforms via low-code workflows. Hybrid "Less-Code" Systems: Writing custom Python and JavaScript scripts directly within n8n, Make, and Zapier workflows to bypass native no-code limitations, handle complex data loops, and bypass API rate limits. Rapid Prototyping: Deploying agile, maintenance-friendly no-code triggers and actions to automate manual business operations with minimal friction. 2. Relational No-Code Databases & E-Commerce Infrastructure (Airtable, Shopify, Ecwid) Airtable Database Architecture: Designing highly optimized relational schemas, advanced formulas, low-code scripting blocks, and native no-code automations inside Airtable to act as an operational backend or single source of truth. E-Commerce Pipeline Engineering: Syncing digital storefronts like Shopify and Ecwid with central inventory systems, tracking orders, managing customers, and automating downstream fulfillment. Unified Commerce Data Flows: Linking Shopify and Ecwid APIs to low-code tools like Airtable, HubSpot, Zoho, and Odoo via n8n and Make to eliminate manual data entry. 3. Bespoke Software, API Architecture & CRM Integration Custom Integration Frameworks: Connecting proprietary, legacy, or niche business applications that completely lack native, out-of-the-box low-code or no-code integrations. CRM Architecture & Syncing: Advanced API configuration, data mapping, and automated workflow development inside enterprise CRMs like HubSpot and Zoho. Cross-Platform Synchronization: Building bi-directional, real-time data syncs between HubSpot, Zoho, Odoo ERP, and external custom backends using webhooks, APIs, and low-code web controllers. 4. Enterprise Odoo ERP Customization & Core Development Full Odoo Deployments: Comprehensive Odoo ERP setups across Sales, Inventory, Purchase, CRM, Accounting, and Manufacturing. Custom Odoo Modules: Advanced Odoo development creating tailored Python models, XML views, and proprietary business logic when no-code features aren't enough. Odoo Integration Pipelines: Direct API connection linking Odoo to Airtable, Shopify, Ecwid, HubSpot, and Zoho using native endpoints, custom middleware, low-code n8n logic, or Zapier. 5. AI, LLM Integration & OpenClaw Agentic Frameworks Agentic AI Ecosystems: Building production-grade multi-agent AI networks and autonomous decision-making loops using OpenClaw. OpenClaw & Low-Code Hybridization: Integrating OpenClaw AI agents directly into low-code/no-code automation platforms like n8n, Make, and Zapier for intelligent document classification, data extraction, and routing. Contextual AI Pipelines: Feeding data from Airtable, HubSpot, Zoho, and Odoo directly into OpenClaw-driven RAG systems to build highly customized, domain-specific AI assistants. 6. Transactional & Marketing Email Automation (SendGrid, Mailchimp) Email Infrastructure Management: Setting up, configuring, and scaling SendGrid and Mailchimp APIs for reliable transactional and marketing delivery. Event-Driven Journeys: Building triggers (e.g., Shopify abandoned cart, Hu