Chris S.

Data Analytics, Data Engineering, and BI Specialist I help businesses make sense of messy data, automate painful processes, and build reporting people actually use. If your data lives in too many spreadsheets, reports take too long, or nobody quite trusts the numbers, I can help. I work across data analytics, business intelligence, data engineering, and automation. In plain English: I build dashboards, reports, pipelines, and processes that turn scattered information into something clear, reliable, and useful. I’ve done this for large enterprises, smaller businesses, and freelance clients across HR, finance, operations, energy, and customer analytics. I’m comfortable getting into the technical weeds, but I also know most clients don’t want a lecture on schemas, query folding, or statistical distributions. They want answers, working solutions, and fewer manual headaches. Fair enough. What I can help with - Power BI dashboards and reporting - Data cleaning, transformation, and modeling - Python, SQL, and R analysis - Data pipelines and ETL workflows - Databricks / Spark projects - Automation using Power Automate, KNIME, and Python - Excel reporting, modeling, and process improvement - Survey, text, and customer data analysis - Business-friendly visuals and reporting - AI-assisted workflow improvement using Claude Code, GitHub Copilot, Microsoft 365 Copilot, and ChatGPT The kinds of problems I solve “We have the data, but nobody trusts it.” “This report takes forever every month.” “Everything is manual and fragile.” “We need a dashboard, but also need the data behind it cleaned up.” “Our process works... if the one person who understands it is still employed here.” If any of those sound familiar, you are very much my target audience. A few examples of the work I’ve done - Built and maintained an HR data model using Python, PySpark, and Databricks - Developed Power BI dashboards for people metrics, executive goals, customer satisfaction, and financial reporting - Created an AI-based process that extracted information from different file formats into structured tables, saving users 4 days of work - Streamlined a financial management process from 3–5 days to 10 minutes - Built automated reporting workflows that replaced manual processes taking days each month - Generated 300+ automated R Markdown reports for participants in a medical study - Built data pipelines connecting internal systems to AWS S3 and Redshift - Used R, Python, SQL, Power BI, Spotfire, KNIME, and Excel to solve reporting, analytics, and process problems across industries Tools I commonly use Languages & Analytics: Python, SQL, R, Excel BI & Visualization: Power BI, Spotfire, Looker Studio / Google Data Studio Data Engineering & Automation: Databricks, Spark, KNIME, Power Automate Version Control & AI Tools: Git, GitHub, GitLab, Claude Code, GitHub Copilot, Microsoft 365 Copilot, ChatGPT What it’s like to work with me I try to be practical, easy to work with, and honest. That means: - I ask good questions up front - I explain technical things in plain English - I build with the end user in mind - I focus on solutions that are useful, not just impressive-looking - I care about reducing manual effort, avoiding brittle processes, and making sure the result actually helps your business My goal is not to make your data look fancy for five minutes. My goal is to make it genuinely useful. Why clients hire me Clients usually come to me when they need someone who can do more than just make a chart look nice. They need someone who can: - understand the business problem - clean and structure the data - build the reporting - automate the annoying parts - and explain the result without sounding like a software manual That combination tends to be pretty useful. Let’s work together If you need someone who can clean up the chaos, build the reporting, automate the repetitive work, and explain it all in plain English, I’d be happy to help. Send me a message with: - what you’re trying to solve - what tools or systems are involved - what kind of output you need - and your timeline If it sounds like a good fit, we can take it from there.