Preeti Garhwal — Data Scientist
A Data and AI Engineer with proven experience designing and building scalable, real-time data systems and production-grade machine learning applications. In my current role at FICO, I architect real-time streaming pipelines with Apache Kafka and Apache Flink, which has led to a significant reduction in processing time for core fraud detection systems. I also engineer robust ETL processes using Python and Spark, applying statistical analysis to create high-impact features that directly support our analytics and model training efforts. My expertise extends to Generative AI and Natural Language Processing (NLP), including hands-on experience building autonomous agents with LangChain/LangGraph and implementing RAG pipelines to enhance model performance. I am committed to leveraging advanced data and AI methodologies to solve complex business problems and drive operational efficiency.
Stackforce AI infers this person is a Data and AI Engineer specializing in scalable data systems and machine learning in the Fintech sector.
Location: Bengaluru, Karnataka, India
Experience: 2 yrs 10 mos
Skills
- Statistical Analysis
- Feature Engineering
Career Highlights
- Expert in real-time data systems and machine learning applications.
- Proven track record in fraud detection and statistical analysis.
- Hands-on experience with Generative AI and NLP technologies.
Work Experience
FICO
Data Scientist (1 yr 8 mos)
Micron Technology
Firmware Developer (2 mos)
Arunoday Innovations and Research Pvt. Ltd.
Project Intern (10 mos)
Outreach Cell IIT Roorkee
Executive Committee Member (8 mos)
Education
Bachelor of Technology - BTech at Indian Institute of Technology, Roorkee