Datha Sai
Data Analyst @Equity Bank Limited
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WORK HISTORY
Data Analyst @Equity Bank Limited
Analyzed customer, transaction, and financial datasets using Python (Pandas, NumPy) and SQL to support business insights across retail banking and operations teams.• Developed and maintained Tableau dashboards to monitor KPIs such as account growth, transaction trends, and customer behavior, reducing manual reporting time by 25%.• Cleaned, validated, and transformed large datasets from multiple sources to ensure data accuracy and reliability for analytics and reporting.• Partnered with cross-functional teams including Finance, Operations, and Risk to translate business requirements into data-driven solutions.• Performed trend and statistical analysis to identify opportunities for process optimization and improved customer engagement.• Automated recurring reports and data preparation workflows using Python scripts and SQL, saving 8–10 hours per month of manual effort.• Optimized SQL queries and database views to improve dashboard performance and enable faster ad-hoc analysis.• Created clear documentation for dashboards, metrics, and data pipelines, improving stakeholder understanding and adoption.
EDUCATION
University of Central Missouri
Masters Degree, Computer Science
ABOUT DATHA SAI
I’m a Data Analyst with 4+ years of experience delivering actionable insights through Python, SQL, Tableau, and machine learning across banking, analytics, and consulting environments. I specialize in transforming raw data into clear, interactive dashboards that help stakeholders make confident, data-driven decisions.In my current role at Equity Bank, I analyze large-scale customer and transaction datasets, build KPI dashboards in Tableau, and automate recurring reports—reducing manual reporting time by 25% and saving 8–10 hours per month through Python and SQL automation.Previously, I worked with multiple client accounts where I designed scalable Tableau dashboards, performed A/B testing, and partnered with cross-functional teams to improve campaign performance, operational efficiency, and customer engagement. I’m especially strong in data cleaning, statistical analysis, and building reusable analytics solutions.Core skills:• Python (Pandas, NumPy, Scikit-learn)• SQL (PostgreSQL, MySQL, query optimization)• Tableau & Excel (dashboards, KPIs, automation)• Data Cleaning, A/B Testing, Regression, MLI’m passionate about solving real business problems with data and am open to opportunities where I can create impact through analytics, visualization, and automation.
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