Business Analyst|| Business Intelligence || Data Visualization
Experience
Fiserv Inc | Business Systems Analysis, Intern May 2019 – Dec 2019 • Led the development of a new lending experience for an online banking client • Mentored the team to help them understand the product and the agile product development • Leveraged advanced querying tools to work with large volumes of structured and semi-structured data • Build dashboards and advanced analytics to monitor key success metrics and results of the customer journey execution • Visualized data to communicate performance and impact of various product changes • Consulted with project stakeholders to understand business problems and translate them into functional and non-functional requirements • Designed the workflow for a pre-sales tool to streamline efforts of teams working on gathering requirements from clients
Modi Naturals | Business Analyst July 2016 – June 2018 • Analysed historical inventory and sales data for products to determine a suitable pricing model for retail and bulk channels • Used predictive analytics to forecast expected national demand, as well as develop sales and marketing strategies for new products • Developed, maintained, and managed dashboards to evaluate customer patterns • Reviewed and improved existing systems and collaborated with teams to integrate new systems for product delivery • Engaged in new product launch and cross-functional initiatives with Marketing and Sales teams Fiserv Inc | Quality Assurance Analyst Oct 2013 – June 2016 • Automated regression test suite to enable QA team to exhaustively test new product versions • Designed and developed a web application for real-time reporting of bank client transaction data with enhanced analytics to highlight current transaction trends • Provided QA Estimations for enhancements or new development of the product to set-up goals for the testing team • Conducted Unit test on the new enhancements on the product and created database queries to see its effect on the product
Projects
Bank Marketing (Technology: R, Tableau) • Interpreted the number of customers of a certain age and marital status, analyzed the given problem, formulated the decision variables and constraints to determine if a customer will subscribe for a term deposit
Twitter Data Analysis (Technology: Python) • Created a sentiment analysis report based on data collected from tweets to determine polarity and subjectivity of each tweet by using Twitter API • Investigated the data by splitting tweets into rows and checked for the most used character or word.
Web Analytics at Thunderbird (Technology: Google AdWords, Google Analytics) • Improved the effectiveness of display/sponsored-ads placement by reallocating ads to weekdays instead of weekends • Increased traffic to programs page by 25% using google trends and advertising through google ad words
Global Temperature Forecast(Technology: R) • Visualized serially collected data into Lagged scatter plots, time plots, seasonal plots, ACF and decomposition plot to examine the trends and seasonality • Applied time series model using seasonal naïve, exponential smoothing, Holt-winter method and ARIMA to forecast the next 50 years average temperature using FPP library