Data Analyst with expertise in Python, SQL, and data visualization using Power BI and Tableau. Skilled in Pandas, NumPy, Matplotlib, and Scikit-learn for data analysis and machine learning (Linear & Logistic Regression, SVM, Decision Trees, K-Means, etc.). Proficient in MySQL and SQL Server. Strong leadership and interpersonal skills for effective team management and client collaboration.
[1] Customer Feedback Classification -Performed Sentiment Analysis on customer's feedback after every transaction and overall product experience of the user. Tools and techniques: Python, Scikit-learn, Naive Bayes.
[2] Customer Segmentation -Handled bank data and developed a customer life cycle in the Segmentation phase. Tools and techniques: Python, SQL, POWER-BI.
[3] Trend Analysis on Customers Payments Data -Given data of 1 million+ records for finding insights into customer's payments behavior. Exploratory Data Analysis (EDA) with many visualization techniques were used to discover trends in data.