Highly motivated and detail-oriented with 3 years of experience as Data Analyst with a strong foundation in health and finance data analytics, data visualization, and SQL-based querying. Proficient in Python (Pandas, NumPy), Excel, and BI tools like Power BI and Tableau. Experienced with cloud platforms (AWS), APIs, and ETL pipelines. Passionate about deriving actionable insights to support data-driven decisions and eager to grow in a dynamic analytics environment.
COVID 19 Data Tracker, Designed and developed an interactive COVID-19 data dashboard using Power BI, Tableau, Python to track cases, deaths, and vaccination rates across multiple countries., Used SQL and Python to clean and transform datasets, including handling missing values and normalizing inconsistent formats., Performed time-series analysis to identify trends in infection rates and predict future case growth., YouTube channel Analysis, Analyzed video performance and audience engagement for a YouTube channel using data collected via the YouTube Data API and Python Pandas, NumPy., Developed KPIs to monitor channel health, such as engagement rate, retention rate, and click-through rate (CTR)., Electronic Medical Records (EMR) For Emergency Care, Designed a dashboard in Power BI / Tableau to monitor ER metrics such as average wait times, patient flow, triage severity distribution, and frequent diagnoses., Cleaned and standardized complex healthcare datasets using Pandas to handle missing values, duplicate records, and timestamp inconsistencies across patient records., Simulated real-world EMR data using Synthea for ethical testing and demonstration of da pipeline and dashboarding capabilities