About

Vinothini Pushparaja is an accomplished Business Intelligence Engineer with over 5 years of relevant experience. She is a go-getter who is passionate about using statistical models to solve real-world problems. Vinothini is flexible in utilizing various machine learning and AI techniques in a fast-paced environment. Her goal is to be the go-to person wherever data holds the key to solving a problem, no matter how complex or challenging it may be. Currently, Vinothini works as a Business Intelligence Engineer at Variant, where she utilizes her practical hands-on experience with tools like Python, SQL (Snowflake, MySQL), AWS (EMR, EC2, S3, Lambda), Git, Tableau, Apache Airflow, and Databricks. Previously, she worked as a Senior Data Analyst at Johnson & Johnson and Capital One, where she developed scripts to clean and transform raw and messy data from the finance balance sheet to insert into tables. Vinothini conducted detailed analysis, designed and published user-friendly visualizations using BI tools (Tableau) from millions of data records to communicate and concise complex data. She also configured Apache Airflow for workflow management and created workflows in Python. Vinothini revamped and automated report processes by combining data from different data sources utilizing SQL and Airflow or Crontab, reducing manual compilation of reports by 10 hours a month. She improved the accuracy of reports by eliminating errors of the previous incumbent from two per report to zero, helping the team focus on other critical requests from business. Vinothini built a pipeline to get the required data from S3 and performed data preprocessing, i.e., data cleansing, validation, and mapped them to target table in Snowflake database. Vinothini holds a Master of Science (M.S.) in Data Science with a Concentration in Business Analytics from Saint Peter's University and a Bachelor of Engineering (BEng) in Computer Science Engineering from Anna University. She is proficient in SQL, Apache Airflow, Snowflake, Python, AWS, AI, Databricks, ML, and MySQL. Vinothini's relevant experience and skills make her a valuable asset to any organization.