Kiran Kumar
Data Scientist
- Role
- Data Scientist at 高盛
- Location
- Dallas, TX, US
- LinkedIn followers
- 500 followers
About Kiran Kumar
I am a dedicated Data Scientist with over 4 years of experience in building and deploying scalable machine learning models, specializing in search relevance, recommendation systems, and real-time data processing. My expertise includes developing intelligent solutions that optimize user interactions through advanced NLP techniques and robust data pipelines. At Goldman Sachs, I designed machine learning pipelines that improved search ranking accuracy by 15% and developed AI-driven chatbots leveraging transformer-based architectures like BERT and GPT to enhance contextual understanding and user engagement. Additionally, I created real-time interactive dashboards using AWS Redshift and Power BI, visualizing search performance metrics to support data-driven decision-making. I am proficient in Python, SQL, and machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn, with hands-on experience in cloud deployment using AWS and GCP. My previous experience at LTI Mindtree involved building scalable AI solutions with Python and Spark, achieving an 18% increase in predictive accuracy. I also led the development of automated data validation tools, improving data quality by 90%. My passion lies in creating data-driven solutions that bridge the gap between insights and user experience, focusing on optimizing search relevance, query understanding, and personalized recommendations. I am eager to connect with professionals in the field and discuss innovative approaches to real-world data challenges.
Experience
Data Scientist
Jan 2024 — Present · CA, US
Developed and deployed machine learning and natural language processing models using Python and SQL to enhance financial analytics. • Designed scalable end-to-end ML pipelines adhering to MLOps best practices, accelerating model deployment. • Utilized large language models to extract insights from unstructured financial documents, improving decision-making efficiency for investment and risk teams.
Education
The University of Texas at Arlington
Master of Science - MS
2023 — 2024
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