# Nate Shenkute [email protected] | [nati.sh](http://nati.sh/) | [linkedIn/natitaw](https://www.linkedin.com/in/natitaw/) --- ## Profile Data Scientist and engineer with a background in computer science and chemical engineering. I build systems that turn messy, high-volume data into reliable decision-making infrastructure. MSc in Computer Science (mathematics track) and Chemical Engineering. With experience spanning enterprise SaaS, consumer products, and operational supply chains. Comfortable across the full stack from data engineering (warehousing, dbt, orchestration) through statistical modelling and machine learning to stakeholder-facing analytics, communication and visualisation. --- ## Experience ### Synthesia — Commercial Data Scientist _Remote | May 2025 – Present_ Synthesia is a Series E AI video platform ($4.1B valuation, backed by Google, Nvidia). I am the sole commercial intelligence function for the GTM organisation, reporting into Commercial Organisation. - Architected a Bayesian customer intelligence system that predicts churn with 77% accuracy and 4-5 months advance warning across 3,400+ enterprise accounts — outperforming enterprise churn prediction software (see [Churned.io on prediction goals](https://docs.churned.io/churned-docs/getting-started-with-churned/churn-prediction-goals-its-not-about-accuracy-its-about-impact)). The system plays an infrastructural role across commercial operations: it feeds into CS compensation structures, serves as the platform for adoption initiative A/B testing, and drives proactive intervention playbooks - Built expansion potential scoring model (96.6% AUC, 83% accuracy) directly integrated into quota allocation and territory planning, enabling data-driven commercial strategy at scale allowing Synthesia operational efficiency as it scales beyond Series D - Built and maintained a suite of commercial analytics tooling — opportunity pipeline DAGs, territory composition scoring, revenue forecasting, and marketing funnel modelling — serving executive and operational stakeholders across Sales, CS, and RevOps - Established the commercial data infrastructure connecting product telemetry to CRM through Snowflake, dbt, Census, Airflow, and Omni — enabling real-time GTM intelligence from raw product events with proper orchestration and version control ### Normative — Commercial Data Scientist / BI Lead _Stockholm, Sweden | May 2023 – May 2025_ Normative is a carbon accounting platform (Series A, backed by Google). Sole commercial intelligence function with weekly 1:1 reporting to CRO. - Designed and built the data architecture underpinning the Carbon Network — Normative's core product enabling businesses to collect, share, and act on supplier carbon data across value chains. Collaborated cross-functionally to model the network's entity relationships (suppliers, buyers, usage accounts, subscription hierarchies) and operationalize them as DAGs feeding into commercial workflows - Built quarterly deal forecasting model with >90% accuracy using signals across the Salesforce object model - Designed and implemented Product-to-CRM data infrastructure transforming product usage patterns into upsell/cross-sell opportunities through Reverse ETL (Workato, Salesforce, REST APIs) - Successfully launched a Product-Led Growth channel from scratch, converting product telemetry into automated sales triggers while maintaining data governance and compliance ### Red Bull — Data Scientist _Salzburg, Austria | Nov 2022 – May 2023_ Global Data Science team focused on operations across the supply chain — logistics, production, and marketing. - Built statistical model for real-time identification of problematic production batches using live sensor data (caffeine, sugar, salt concentrations) from the production line, saving quality control hundreds of hours annually - Developed flavor identification tool using open-source chemical databases worldwide to accelerate R&D for seasonal drink formulations — enabling researchers to map chemical compounds to flavor profiles programmatically - Delivered data science products designed to generate additional revenue or create cost savings across all areas of the company supply chain using Python, R, SQL, and AWS ### Diet Doctor — Data Scientist _Stockholm, Sweden | May 2021 – Nov 2022_ Subscription health platform (4M+ users). First and only data scientist, reporting directly to COO. - Built real-time Customer Lifetime Value model making profit margins visible across marketing segments, directly contributing to revenue growth and the company's first $4M investment - Designed churn/retention models and a personalized meal recommendation algorithm (with clinical experts) that produced a 3-4% retention lift via A/B testing --- ## Side Projects & Contracting **HelloHistory.ai / Humy.ai** — Data Scientist & Engineer. Grew AI coaching app to 20,000 MAU with 20M+ message exchanges through analytics, segmentation, and growth experimentation. **NORTHE (NDA)** — Contract Data Engineer. Built complete data infrastructure from inception for a Series A startup: organizational data model, BigQuery/DataFlow deployment, MongoDB-to-warehouse pipelines, and KPI dashboards. Reported directly to CEO/CFO/CTO. --- ## Technical Stack **Data Science**: Python (pandas, scikit-learn, PyTorch), Bayesian modeling, survival analysis, cohort analysis, A/B testing, CLV/LTV modeling, SHAP interpretability, Gaussian Mixture Models **Data Engineering**: Snowflake, BigQuery, Clickhouse, dbt, Airflow, Census (Reverse ETL), Workato, Docker, GCP, Azure **Analytics & Visualization**: SQL, Omni, Looker, Dune Analytics **Commercial Tools**: Salesforce (flows, custom objects, reporting, data management), Planhat **Exploring**: Solana on-chain data, Dune Analytics, DeFi protocol analytics, smart contract event parsing --- ## Education **MSc Computer Science** — University of Twente, Netherlands Specialisation: Machine Learning, Statistics & Probability **MSc Chemical Engineering** — University of Twente, Netherlands Specialisation: Differential Equations, Process Technology **BSc Advanced Technology** — University of Twente, Netherlands Specialisation: Engineering Mathematics and Physics --- ## Languages English (native) | Dutch | Amharic | Swedish (basic)