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: 3 yrs 1 mo
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 11 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