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Data Analyst with 8+ years in data extraction, visualization, and automation.
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Experienced Data Analyst with 8.1 years of hands-on experience in end-to-end data extraction, transformation, and loading (ETL) processes, interactive dashboard design, and automation. Proven ability to reduce manual effort, improve efficiency, and support data-driven decision-making across various domains including finance, healthcare, and e-commerce. Skilled in Python, SQL, Power BI, Tableau, and various database technologies.
Guru Nanak Dev University, India
Bachelor of Technology · Computer Science
August 1, 2016 – June 30, 2020
THB (Technology|Healthcare | Big Data Analytics)
Data Analyst
November 1, 2023 – September 1, 2025
Gurgaon, Haryana, India
NetSolutions
Software Tester
January 1, 2022 – November 1, 2023
Chandigarh, Chandigarh, India
Directorate of Governance Reforms
Software Tester
October 1, 2020 – January 1, 2022
Mohali, Punjab, India
Deloitte Touche Tohmatsu India LLP
Consultant
August 1, 2016 – June 1, 2020
Gurgaon, Haryana, India
Revenue Forecasting & KPI Analysis (Jeddah)
June 23, 2026 – Present
Leveraged statistical analysis and data visualization techniques to uncover relationships between patients engagement and revenue generation, supporting strategic planning. Conducted multi-period trend analysis to identify correlations between patient engagement metrics and revenue outcomes. Built forecasting dashboards to visualize revenue trends, seasonal patterns, and future projections. Applied statistical techniques to identify patterns, anomalies, and growth drivers in healthcare data. Presented insights to stakeholders through clear visualizations and reports, highlighting opportunities for improving retention and increasing revenue. Strengthened client relationships by delivering data-backed recommendations that supported business growth.
Healthcare Operations Optimization (UAE)
June 23, 2026 – Present
Analysed hospital operations and patient data to improve efficiency, optimize workflows, and support data-driven health decisions. Extracted, cleaned, and transformed large datasets using advanced SQL queries, ensuring data readiness for analysis. Performed data preprocessing and analysis using Python and R, improving the quality and usability of healthcare data. Conducted segmentation and cohort analysis to identify patient behaviour patterns, treatment adherence, and engagement trends. Identified inefficiencies in operational workflows and provided data-driven recommendations to enhance performance. Developed reports and visualizations to communicate insights effectively to both technical and non-technical stakeholders.
Patient Engagement & Campaign Impact Analysis (Riyadh)
June 23, 2026 – Present
Built a data-driven framework to evaluate patient engagement and campaign effectiveness. Developed automated dashboards and reporting systems using Python and SQL to track campaign performance and patient engagement in real time. Analysed key performance metrics such as response rates, appointment conversions, retention rates, and engagement frequency to assess campaign success. Established KPI tracking mechanisms to continuously monitor and improve marketing performance. Delivered actionable insights and recommendations to stakeholders, contributing to improved patient engagement and higher campaign ROI.
Campaign Impact & Uplift Analysis (Credit Card company, USA)
June 23, 2026 – Present
Delivered customer segmentation and uplift measurement framework. Optimized Python code for large datasets.
Healthcare Revenue & Patient Engagement Dashboard (Dubai)
June 23, 2026 – Present
Developed and automated a comprehensive analytics solution to monitor hospital revenue streams and patient engagement metrics, enabling real-time, data-driven decision-making for stakeholders. Designed and implemented interactive dashboards to track incremental revenue, patient interactions, and key performance indicators (KPIs), improving visibility into business performance. Engineered custom engagement and retention metrics to identify growth opportunities, patient drop-offs, and areas for service improvement. Developed and optimized SQL queries for data extraction, validation, and transformation, maintaining high standards of data accuracy and integrity. Conducted ad-hoc analyses on patient return rates, service utilization, and marketing effectiveness to support strategic initiatives.
Cultural Fit Analysis
The candidate's project experience spans multiple geographies (Dubai, Riyadh, Jeddah, UAE, USA) and industries (healthcare, credit card company), indicating adaptability and a global mindset. The diverse project types, from revenue forecasting to patient engagement and operational optimization, suggest a broad interest in applying data analysis to various business challenges. The role as a Data Analyst at THB aligns well with the target role, demonstrating a clear career path and commitment to data analysis. The previous roles as a Software Tester, while not directly data analysis, show a foundation in software development lifecycle and quality assurance, which can be beneficial in understanding data quality and system integration challenges.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through working with cross-functional teams and stakeholders. Their experience in automating processes and optimizing queries suggests a proactive and efficiency-oriented work attitude. The project descriptions indicate a focus on delivering actionable insights, which aligns with a results-driven operational fit. The transition from software testing to data analysis roles shows adaptability and a clear career trajectory towards data-centric roles.