Laxmi Paudel
About Laxmi Paudel
Laxmi Paudel is a Senior Data Scientist at Fannie Mae in Dallas with extensive experience in data analytics, cloud computing, and econometrics.
Current Role at Fannie Mae
Laxmi Paudel is currently serving as a Senior Data Scientist at Fannie Mae in Dallas. In this role, she utilizes her extensive expertise in data analytics, deep learning techniques, and cloud computing to drive strategic data initiatives for the organization. Paudel is known for her skills in data visualization with Tableau, which plays a significant part in her day-to-day responsibilities of transforming complex data sets into actionable insights.
Previous Experience at JPMorgan Chase
Between 2011 and 2013, Laxmi Paudel worked at JPMorgan Chase as an Assistant Vice President (AVP). During her two years in this position, she was based in the USA and was instrumental in leveraging her significant experience in econometrics and applied economics to support various financial analytics projects. Her role was central to improving data management practices and advancing the organization’s analytical capabilities.
Education and Advanced Degrees
Laxmi Paudel holds two Masters' degrees and a Ph.D. Her academic journey began at Auburn University, where she completed a Master's in Applied Economics from 2000 to 2001. She then pursued advanced studies at The University of Georgia, earning a Master’s in Statistics from 2003 to 2004. Following that, she obtained her Ph.D. in Applied Economics with a focus on econometrics, micro and macroeconomics, and statistics from 2002 to 2005. Her robust educational background underpins her expertise in data science and econometric analysis.
Expertise and Technical Skills
Laxmi Paudel has a broad range of technical skills critical to her role as a Data Scientist. She is proficient in using Alteryx for data analytics and automation, which enhances her ability to process and analyze large datasets efficiently. She has expertise in AWS for cloud computing and data storage solutions, facilitating scalable data management. Additionally, Paudel’s skills in deep learning techniques allow her to perform advanced data modeling, essential for predictive analytics and comprehensive data analysis.
Career Path in Financial Sector
Paudel’s career in the financial sector began at CitiGroup, where she worked as a Senior Analyst from 2005 to 2010 in the USA. Following her tenure at CitiGroup, she joined Fannie Mae as a Senior Analyst from 2010 to 2011. Her progression in the financial industry showcases her expertise in econometrics and statistical analysis, which have been pivotal in her subsequent roles, including her current position as a Senior Data Scientist at Fannie Mae.