Data Analyst
Current• Proficient in loading, transforming, and cleaning data from various databases into usable formats for analysis and reporting. • Performed Exploratory Data Analysis (EDA) to uncover insights and trends, ensuring data readiness for further analysis. • Led data preprocessing efforts, including data cleaning, transformation, and imputation, to enhance data quality and consistency. • Applied machine learning techniques, including Naive Bayes Classifier, to train and analyze review… Show more • Proficient in loading, transforming, and cleaning data from various databases into usable formats for analysis and reporting. • Performed Exploratory Data Analysis (EDA) to uncover insights and trends, ensuring data readiness for further analysis. • Led data preprocessing efforts, including data cleaning, transformation, and imputation, to enhance data quality and consistency. • Applied machine learning techniques, including Naive Bayes Classifier, to train and analyze review datasets for sentiment analysis. • Built frequency distribution models for text analysis, categorizing words into positive and negative sentiment labels to support decision-making. • Developed and deployed web services for online sentiment polarity classification on AWS, ensuring scalability and performance. • Leveraged Python libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn for data visualization and reporting, creating actionable insights. • Collaborated with cross-functional teams to design and implement high-quality databases for financial transactions, including NEFT, RTGS, and IMPS money transfers.• Defined the essential data elements for valuation analysis, such as transaction details (account number, routing information, wire transfer amounts) and SWIFT/BIC codes.• Created complex SQL queries and procedures to extract and manipulate data for money transfer systems, ensuring precision and compliance with industry standards. • Worked alongside the Data Science team to ensure data quality, consistency, and performance in all models, leading to improved operational efficiencies. • Collaborated with the Business Intelligence team to design and generate reports and data visualizations using Tableau, driving business insights and strategic decision-making. • Conducted comprehensive market analysis, identifying potential growth opportunities and analyzing competitive strategies to guide business development. Show less