Dynamic and adaptable Associate Technical Support Engineer with a Salesforce internship background, proficient in SFDC development and Python. Excelled in creating efficient solutions demonstrating strong problem-solving skills and a quick learning ability. Skilled in both technical and analytical realms, including MySQL and EDA, ready to drive success in challenging environments. Analytical and insightful Data Analyst known for productivity and efficiency in task completion. Specialize in data visualization, statistical analysis, and predictive modeling. Excel in problem-solving, critical thinking, and communication, ensuring successful project outcomes and team collaboration.
Conducted comprehensive EDA on retail sales data to uncover sales patterns, trends, and customer behavior.
Analyzed key metrics like revenue, product performance, and customer segmentation.
Visualized data using Seaborn, Matplotlib to present business insights.
Suggested data-driven strategies for enhancing sales and optimizing inventory management.
Performed detailed EDA on customer transaction data to identify churn indicators.
Explored customer demographics, spending patterns, and account activity.
Created interactive visualizations to highlight key churn drivers.
Provided insights on improving customer retention through targeted strategies.
Developed a model to detect cyberbullying on social media platforms. Utilized Python for data preprocessing,feature extraction,model training.