• Data Analyst with 2+ years of experience in data analysis, data cleaning, and exploratory data analysis (EDA) using Python (Pandas, NumPy), SQL, and Excel.
• Strong expertise in SQL querying, joins, CTEs, window funct…
• Data Analyst with 2+ years of experience in data analysis, data cleaning, and exploratory data analysis (EDA) using Python (Pandas, NumPy), SQL, and Excel.
• Strong expertise in SQL querying, joins, CTEs, window functions, and data manipulation to extract actionable insights from complex datasets.
• Proven ability to build interactive dashboards and reports using Power BI and Tableau, enabling KPI tracking and data-driven decision-making.
• Hands-on experience in ETL processes, data validation, and data quality checks, ensuring accurate and reliable business reporting.
• Excellent communicator skilled in data storytelling, stakeholder collaboration, and business insight presentation
Collaborated with cross-functional teams (Operations, Product, Medical, and Business stakeholders) to understand business challenges, define analytical requirements, and translate them into data-driven solutions aimed at improving customer satisfaction and retention., Identified data inefficiencies and reporting delays by performing process audits and data flow analysis, leading to the redesign of data collection and automation workflows that reduced data processing time by 20%., Analyzed real-time and historical patient and doctor datasets using SQL and Python, identifying operational bottlenecks, behavioral trends, and performance gaps that resulted in a 15% improvement in operational efficiency., Designed and developed interactive Power BI dashboards to monitor doctor engagement, appointment trends, turnaround time, and business KPIs, enabling leadership to make faster, data-backed decisions., Implemented data ingestion, cleaning, and transformation pipelines, handling missing values, inconsistencies, and outliers to ensure high data accuracy and reporting reliability., Conducted exploratory data analysis (EDA) to identify anomalies and emerging patterns, proactively highlighting risks and opportunities to stakeholders through clear visualizations and insights., Worked closely with business users to gather requirements, validate metrics, and iterate dashboards, ensuring alignment between business goals and analytical outputs., Applied data validation and quality checks to maintain consistency across reports, improving trust in analytics and reducing recurring data discrepancies.
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