Summary
Chintana Lakshmanan is a Principal Data Engineer based in Austin with 8 years of hands-on experience building data platforms, analytics pipelines, and predictive models across media and enterprise domains. She blends application development (Java, R, Python) with big data engineering (Hadoop, Spark, Kafka, SQL, SSIS) to automate data collection, cleansing, and delivery for marketing effectiveness and product analytics. Her background spans roles at Nielsen and Circana, driving data layer architecture for global research teams and translating complex models into actionable dashboards using PowerBI and Tableau. She has applied NLP and deep learning in production-like settings (including search optimization during a data science internship) and routinely reduces operational friction through automation. Known for learning new tools rapidly, she pairs pragmatic engineering with a data-science lens to convert noisy web and CRM signals into measurable business impact.
8 years of coding experience
12 years of employment as a software developer
Masters of Data Science, Data Science, Masters of Data Science, Data Science at Illinois Institute of Technology
Bachelor of Computer Science and Engineering, Computer Science and Engineering, Bachelor of Computer Science and Engineering, Computer Science and Engineering at Anna University Chennai