Ross Katz
Principal and Data Science Lead at CorrDyn | Host of \"Data in Biotech\" | Helping Great Companies to Make Smarter Strategic Decisions with their Data
- Role
- Principal and Data Science Lead at Corrdyn
- Location
- Lakewood, OH, US
- LinkedIn followers
- 500 followers
About Ross Katz
We enable excellent companies to make smarter strategic decisions through their data. From developing the right data strategy through our proprietary discovery process to building and delivering bespoke technical solutions, we are equipped to tackle the most complex data challenges. Headquartered in the US, we have proven experience across many industries but particularly excel in highly technical or complex environments - such as biotechnology, manufacturing, and energyCheck our Corrdyn.com to book a free consultation with the CorrDyn team to discover how to unlock the potential of your data today.At CorrDyn, I help our Clients get value from their data through better data pipelines, data integration, business intelligence, and machine learning. My role often involves conducting assessments to discover opportunities for improvement to data capabilities, data infrastructure, and data processes.I write about all things data based on my experience at clients and misconceptions I see about how data gets converted into value. I think the hype around data often obscures the simple steps organizations can take to generate immediate value while preparing for the hype-worthy future.Reach out if you would like to talk about your data challenges and the path toward achievable solutions.
Experience
Principal and Data Science Lead
Jan 2019 — Present · Nashville, TN, US
Managing data science and data engineering projects for multiple clients- Scoping data projects for maximum ROI and minimum upfront investment- Collecting and integrating data from ERPs, CRMs, e-commerce sites, publicly available data sources (including web scraping), and various SaaS platforms- Data warehouse and database development in Amazon Redshift, Google BigQuery, Azure Synapse, Snowflake, Postgres and various flavors of SQL, in the cloud or on-premise- Building NLP pipelines to process, parse, tag, and aggregate terabytes of text data- Data engineering and ETL pipeline automation in Google Cloud Functions, Dataflow, AWS Step Functions + Lambda, Databricks + Spark, dbt, and various serverless architectures- Business process automation, including automated communications, reporting, web portals, and integrations with third parties- Pushing aggregated and cleaned information into CRMs such as Salesforce and Hubspot to better support sales and marketing efforts- Business intelligence and automated reporting development in Tableau, Looker, Power BI, and Google Data Studio- Google Cloud, AWS, and Azure data infrastructure development
Education
University of California, Berkeley
Master of Information and Data Science (MIDS), Data Science
2015 — 2017
Duke University
BA, Economics and Public Policy
2003 — 2007
Skills
- Marketing
- Business Development
- Mergers & Acquisitions
- Strategy Development
- Program Management
- Acquisition Analysis
- Leadership
- Management
- Strategic Planning
- Analysis
- Analytics
- Business Strategy
- Sql
- Business Valuation
- Python
- Data Analysis
- Strategy
- Mergers
- Competitive Analysis
- Lead Generation
- Research
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