Healthcare Analytics
Home Care Intelligence Hub
Operational intelligence dashboard for home care performance, quality, and decision support.
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Skills
- Programming Languages: Python, SQL, Java
- Data & ML: Machine learning, predictive modeling, experimentation (A/B testing)
- Growth Measurement: Ads & growth measurement, incrementality, lift modeling
Tools
- BI & Analytics: Power BI, Tableau, Excel
- Data & ML: Pandas, NumPy, scikit-learn
- Automation & QA: Selenium, Postman, Jira
Software
Jupyter, VS Code, Git, Postman
Domains
Product Data Science, Ads & Growth Measurement, Experimentation, FinTech
About me
I'm Sajan Singh Shergill, a Product Data Scientist focused on ads and growth measurement, with a strong interest in incrementality, lift modeling, and experimentation.
I am currently pursuing a Master's in Data Science at Pace University and bring more than three years of experience in software quality assurance, functional testing, and agile delivery. That foundation in product quality now supports my work in analytics, machine learning, and data storytelling.
- 3+ years of QA experience across fintech and edtech domains.
- Hands-on analytics and visualization experience with Python, SQL, Excel, and Power BI.
- Training in machine learning, predictive modeling, A/B testing, and data storytelling.
- Academic grounding in statistics, database management systems, and data structures.
- Experience with CI/CD testing, production support, integration testing, and root-cause analysis.
Recent project work includes customer churn modeling with Random Forest, marketing ad-spend ROI analysis, and energy pricing cost modeling.
I enjoy collaborating with cross-functional teams, building data workflows, and turning ambiguous business questions into measurable insights. For data analyst, product analytics, or ML internship opportunities, connect with me on LinkedIn or email sajanshergill@gmail.com.
