About Me
Highly motivated and skilled Data Analyst with a strong academic record and proficiency in data analysis, cleaning, and visualization. Experienced in Python, Excel, and Power BI. Seeking to leverage my expertise and furt…
Highly motivated and skilled Data Analyst with a strong academic record and proficiency in data analysis, cleaning, and visualization. Experienced in Python, Excel, and Power BI. Seeking to leverage my expertise and further develop my skills as an Engineer in the IT domain.
Experience
CSA
Answered customer inquiries about the store's products or services., Handled returns of merchandise in accordance with established procedures., Resolved customer complaints courteously and efficiently.
CSA
Answered customer inquiries about the store's products or services.
Handled returns of merchandise in accordance with established procedures.
Resolved customer complaints courteously and efficiently.
Data Analyst Intern
Developed data visualizations and dashboards to track business metrics using Power BI.
Performed exploratory data analysis on large datasets to identify trends and outliers.
Designed automated reports that track KPIs for multiple departments within the organization.
Developed reports utilizing table matrix for a minor project and various card visualizations for a major project in Power BI.
Data Analyst Intern
Developed data visualizations and dashboards to track business metrics using Power BI., Performed exploratory data analysis on large datasets to identify trends and outliers., Designed automated reports that track KPIs for multiple departments within the organization., Developed reports utilizing table matrix for a minor project and various card visualizations for a major project in Power BI.
Data Science & ML Intern
Implemented supervised and unsupervised algorithms such as KNN, SVM, Random Forest.
Performed feature engineering to improve model performance.
Developed Bank Customer Churning Model, Big Sales Prediction using Random Forest Regressor and Financial Market Sentiment Analysis.
Data Science & ML Intern
Implemented supervised and unsupervised algorithms such as KNN, SVM, Random Forest., Performed feature engineering to improve model performance., Developed Bank Customer Churning Model, Big Sales Prediction using Random Forest Regressor and Financial Market Sentiment Analysis.