Hi, I'm Michael Lindow
Data Scientist
Transforming complex data into actionable insights and innovative solutions through data science and analytics.
TypeScript 
Bash 
Python 
Sql 
Pandas 
Airflow 
Git 
Docker 
Openai 
Postgresql 
React 
Scikit-learn TypeScript Bash Python Sql Pandas Airflow Git Docker Openai Postgresql React Scikit-learn TypeScript Bash Python Sql Pandas Airflow Git Docker Openai Postgresql React Scikit-learn Experience
Data Science & Analytics
Data Warehousing & ETL
Designed and built a large-scale data warehouse handling billions of records, automating data collection from diverse sources including retailer portals, ERPs, and APIs using Python, SQL, and Airflow.
Web Scraping & Data Integration
Developed robust Python libraries using requests to reliably scrape challenging web portals lacking APIs, overcoming frequent UI changes and ensuring data consistency. Integrated disparate data streams into a unified system.
Data Quality & Reliability
Implemented automated data quality checks and validation processes to handle inconsistencies and ensure the accuracy of large datasets, significantly improving data trustworthiness.
Analysis & Insight Generation
Performed complex analyses to identify supply chain anomalies, evaluate promotion effectiveness (including control store comparisons), understand customer purchasing behavior, and support strategic discussions with major retailers.
Reporting & Visualization
Created standardized and ad-hoc reports/dashboards using tools like Power BI, Tableau, Excel, and SQL to provide clear views of sales, inventory, and supply chain performance for various stakeholders.
Forecasting & Optimization
Developed systems and analyses to improve demand forecasting and inventory management, helping to reduce stockouts and overstock situations.
Business & Process Optimization
Cross-Functional Collaboration
Worked closely with supply chain analysts, developers, and leadership to understand needs, define requirements, and improve internal tools and processes.
Process Improvement & Automation
Transformed slow, manual reporting processes into near real-time automated systems, dramatically improving visibility and decision-making speed.
Market & Opportunity Analysis
Researched various market niches, identified potential customer pain points, and evaluated business viability through data analysis and experimentation.
Entrepreneurial Initiatives
Independently launched ventures, learning firsthand about product development cycles, marketing, customer feedback, and adapting to market realities.
Data-Driven Decision Support
Provided targeted analyses and reports to support key business functions like buyer negotiations, promotion planning, and inventory management.
Supply Chain Analytics
Analyzed supply chain data to identify inefficiencies, optimize inventory levels, and improve overall supply chain performance.
Full-Stack Development
Web Applications
Built and deployed modern web applications using React, TypeScript, and Node.js, focusing on creating responsive and user-friendly interfaces.
Custom Tooling & Automation
Developed bespoke Python libraries and automated complex workflows using tools like Airflow to improve efficiency and reduce manual work.
Algorithm Design & Implementation
Created novel algorithms for generative art and specific data processing needs, focusing on efficiency and scalability.
API Integration & Development
Built applications leveraging third-party APIs (Shopify, Stripe) and contributed to internal tool development, ensuring robust integration and error handling.
Database Management
Designed and implemented database solutions using Supabase and PostgreSQL, ensuring data integrity and optimal performance.
DevOps & Deployment
Managed deployment pipelines and infrastructure using Vercel and Docker, ensuring reliable and scalable application deployment.