Detail oriented Data Analyst with strong background in data cleaning, dashboard
development, Data Wrangling and performance monitoring. Proficient in Python,SQl,Tableau,
Power BI, and Excel to deliver insights that sup…
Detail oriented Data Analyst with strong background in data cleaning, dashboard
development, Data Wrangling and performance monitoring. Proficient in Python,SQl,Tableau,
Power BI, and Excel to deliver insights that support data-driven decisions.Skilled in
transforming raw data into actionable insights that improve operational efficiency.
Designed and implemented interactive dashboards to monitor and evaluate departmental performance, Helping Management to track KPIs and drive strategic decisions. Worked Closely with the marketing department by analysis the leads data for each campaign and digital ads to predict future trends,enhancing data driven decision making processes and Improving performance. Preprocessed historical data which helped in ensuring seamless migration and optimal compatibility with new software . Built and implemented AI agents using Relevance AI Tool to automate task , streamline operations, and Provide Daily Insights
Collaboration with KMC Hospital.
Developed a Bike Sharing Demand Prediction model using regression algorithms to forecast hourly demand and support operational planning. Performed Hotel Booking Demand Analysis to uncover key trends in cancellations, customer behavior, and seasonal booking patterns using Python and visualization tools
Collected, cleaned, and preprocessed image datasets of skin rashes (Chicken Pox, Measles, Rubella, HFMD, DRESS) to ensure high-quality inputs for analysis.
Performed feature extraction using techniques such as GLCM, Haralick features, and first-order statistics to derive key attributes for comparative analysis.
Conducted Exploratory data analysis (EDA) to identify patterns, trends, and anomalies across rash types, aiding in data-driven insights.
Developed a Bike Sharing Demand Prediction model using regression algorithms to forecast hourly demand and support operational planning.
Performed Hotel Booking Demand Analysis to uncover key trends in cancellations, customer behavior, and seasonal booking patterns using Python and visualization tools.
Designed and implemented interactive dashboards to monitor and evaluate departmental performance, helping management to track KPIs and drive strategic decisions.
Worked closely with the marketing department by analysing the leads data for each campaign and digital ads to predict future trends, enhancing data driven decision making processes and improving performance.
Preprocessed historical data which helped in ensuring seamless migration and optimal compatibility with new software.
Built and implemented AI agents using Relevance AI Tool to automate tasks, streamline operations, and provide daily insights.
Predicted hourly bike demand in Seoul, South Korea to help reduce public wait times by using Random Forest and Gradient Boosting Regression algorithms.
Conducted data processing to handle null values and remove outliers using the IQR method, ensuring data quality for model training.
Built an interactive Covid-19 dashboard using Indian state data, visualizing key metrics such as total deaths, confirmed cases, and recoveries across timelines and regions.
Developed an interactive Qlik Sense dashboard to analyze hospital admissions using KPIs, bar charts, and treemaps, enabling advanced insights into patient categories and supporting data-driven healthcare decisions.
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