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Data Analyst | Power BI · SQL · Python · Excel | Healthcare & HR Analytics | Dashboard Development | BI Reporting
Data Analyst with a healthcare background and hands-on experience building dashboards, KPI reports, and analytical solutions in Power BI, SQL, Python, and Excel. I bring a rare combination: 8+ years of clinical and operational experience as a physiotherapist — giving me deep domain knowledge in healthcare data — combined with practical BI and analytics skills built through end-to-end projects in HR analytics, e-commerce sales analysis, and hospital operations. What I deliver: 📊 Interactive Power BI dashboards with DAX measures and drill-through reporting 🔍 SQL-based data extraction, cleaning, and transformation (MySQL, MS SQL Server) 📈 KPI tracking, trend analysis, and business performance reporting 🧹 Data quality workflows using Power Query and Python (Pandas, NumPy) 📋 Stakeholder-ready insights that translate complex data into clear business decisions Projects include: • Hospital Operations & Patient Analytics Dashboard — admissions, emergency trends, revenue KPIs • HR Workforce Analytics — attrition analysis, employee segmentation, headcount reporting • E-commerce Sales & Customer Analytics — churn patterns, revenue trends, customer behaviour Previously: 3 years as Relationship Manager & Team Leader at a SEBI-registered advisory firm, managing CRM systems, Excel reporting, and cross-functional team performance. Currently learning dutch. 📍 Based in the Netherlands | Open to Data Analyst / BI Analyst / Healthcare Data Analyst roles
Government Spine Institute and Physiotherapy College
Bachelor's Degree, Physical Therapy/Therapist
July 1, 2009 – April 1, 2014
Freelance
Freelance Data Analyst
January 1, 2026 – Present
Eqwires Research Analyst
Relationship Manager & Team Leader
September 1, 2022 – August 1, 2025
Ahmedabad, Gujarat, India · On-site
Freelancer- Self employed
Physiotherapist
June 1, 2014 – August 1, 2022
Ahmedabad, Gujarat, India · On-site
Hospital Operations & Patient Analytics Dashboard
June 1, 2026 – June 1, 2026
Developed a healthcare analytics dashboard using Power BI, SQL, DAX, and Power Query to analyze hospital operations, patient trends, and revenue performance. The project focuses on understanding admission patterns, identifying common medical conditions, and evaluating hospital efficiency through metrics like length of stay. Key highlights: - Analysis of patient admissions and case types (emergency, urgent, elective) - Identification of common chronic conditions such as arthritis and diabetes - Revenue distribution across hospitals and insurance providers - Interactive dashboards with filtering and drill-down capabilities This project helped me connect technical skills with real business insights and decision-making. GitHub link : https://github.com/nilee-data-analyst/hospital_operations_analysis
HR Workforce Analytics | Attrition & Employee Insights
May 1, 2026 – May 1, 2026
HR Attrition Analytics Dashboard | End-to-End Data Analytics Project I recently built an interactive HR analytics dashboard focused on understanding employee attrition patterns and workforce behavior. Using SQL, Excel, Power BI, and DAX, I transformed raw HR data into a business-focused dashboard that highlights: ✔ Attrition trends by age, tenure & job role ✔ Overtime impact on employee exits ✔ Department-wise attrition analysis ✔ Employee demographics & satisfaction insights ✔ KPI tracking and interactive filtering Key insights: • Employees with overtime and low satisfaction showed higher attrition risk • Employees were most likely to leave within their first 2 years • Research & Development had highest attrition count • Sales showed higher attrition proportionally Tools Used: • SQL Server • Excel • Power BI • DAX This project helped me strengthen Data cleaning , SQL querying, Data modeling, DAX calculations and Dashboard storytelling. #PowerBI #SQL #DataAnalytics #DAX #Excel #BusinessIntelligence #HRAnalytics #OpenToWork
E-commerce Sales & Customer Analytics Dashboard | Power BI, SQL, DAX
April 1, 2026 – May 1, 2026
📊 Developed an interactive E-commerce Sales & Customer Analytics Dashboard using a Brazilian dataset. 🔍 Key Features: -Revenue analysis with time trends -Customer retention tracking (3.05%) -Order and product performance insights -Category-level sales breakdown 🛠 Tools Used: -Power BI (Dashboard & Visualization) -SQL (Data extraction & analysis) -DAX (Calculated KPIs) -Power Query (Data cleaning & transformation) 📈 Key Insights: -Revenue shows steady growth across years -Bed Bath & Table category leads in sales -Customer retention remains low, highlighting business improvement opportunities 🚀 This project helped strengthen my skills in data analysis, visualization, and business storytelling. 📂 GitHub Repository: https://github.com/nilee-data-analyst/sales-data-analysis-sql-powerbi
Introduction to SQL
Simplilearn
June 30, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong drive for self-improvement and career transition into data analytics, as evidenced by numerous personal projects and certifications. The diversity of projects (HR, E-commerce, Healthcare) indicates a broad interest and adaptability, which can contribute positively to team dynamics. The shift from a non-technical background to data analytics shows initiative and a learning mindset. However, the lack of formal data analyst experience in a corporate setting might require some adjustment to established team workflows and corporate culture.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to connect technical skills with business insights and storytelling, suggesting good communication and analytical thinking. Previous roles as a Relationship Manager and Team Leader indicate experience in client management, team coordination, and performance reporting, which are valuable for operational fit. The long tenure as a Physiotherapist also suggests discipline and attention to detail in data documentation.