Hi, i’m Kairav Sanghvi 👋
Data Science graduate focused on product analytics, machine learning, and growth experimentation.
Based in Berlin, Germany.
Good questions matter more than perfect answers.
I work at the intersection of data, product, and growth.
My work is centered around:
- analytics dashboards that make metrics easy to act on
- automated workflows that reduce manual effort
- data pipelines that support product and marketing decisions
I enjoy taking messy, real-world data and turning it into insights teams can actually use.
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Product & Growth Analytics
Funnel analysis, activation and retention tracking, KPI monitoring -
Data Analysis & Experimentation
EDA, hypothesis testing, A/B analysis, statistical reasoning -
Machine Learning
Regression, classification, clustering, feature engineering -
Automation & LLMs
Workflow automation with n8n and Zapier, GPT-based feedback and content analysis
Languages
- Python
- SQL
Data & Analytics
- Pandas, NumPy
- Statistical analysis, KPI tracking, A/B testing
Machine Learning
- Scikit-learn
- Regression, classification, clustering
Visualization & BI
- Metabase
- Power BI
- Matplotlib, Seaborn
Automation & Tools
- n8n, Zapier
- Git, GitHub
- HubSpot
- PostgreSQL
Built and evaluated ETA prediction models using real-world logistics data.
Highlights
- Extensive EDA and feature engineering, including GPS and timestamp correction
- Compared regression and ensemble models (Random Forest, XGBoost, CatBoost)
- Evaluated performance using MAE, RMSE, R², and tolerance-based accuracy
- Integrated spatio-temporal context such as traffic and weather
- Found ensemble models to outperform deep learning in sparse-data settings
- Building clearer, more actionable BI dashboards
- Improving workflow automation with n8n and CRM tools
- Applying growth analytics frameworks to product-led businesses
- Exploring data applications in open-source and cybersecurity ecosystems
