At Infosys, I developed an in-house data cleansing and standardization tool that automates SOV cleansing, maps fields, applies business transformations, and generates fields for CAT modeling analysis.
I also developed the Data Discovery in-house tool at Infy labs. It scans datasets using pattern search, machine learning, and natural language processing to identify sensitive data; its actions contributed to 30% automation in businesses every year.
For this work, I built data pipelines and used text analytics, including named entity extraction and naïve Bayes classification, to classify sensitive data. I also analyzed client requirements and data using Power BI and conducted testing to verify client needs.
As a Data Analyst, I built dashboards for client usage and trends, and led a cross-functional team of three on a project management dashboard that optimized team budget by 15%. I also built a churn prediction model that increased customer retention by 26% and saved $200K annually.
