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Lavanya N
Data Scientist @U.S. Bank
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WORK HISTORY
Data Scientist @U.S. Bank
US
Designed and deployed multi-class NLP text classification models using BERT, Universal Sentence Encoder, Word2Vec, FastText, CNN, and RNN architectures, achieving 91% accuracy and improving document categorization efficiency.Developed scalable machine learning pipelines using Azure, Spark, and Python, reducing model training time by 30% and improving large-scale data processing performance.Built RESTful APIs using Flask and SQLAlchemy to deploy machine learning models for real-time inference and enterprise application integration.Automated AWS RDS provisioning and CloudWatch monitoring using Python, Jenkins, and CloudFormation, reducing manual infrastructure setup by 40% and improving system reliability.Engineered automated data ingestion and ETL workflows to parse and transform large JSON datasets into relational databases, improving data accessibility and pipeline reliability.Designed interactive dashboards and KPI reporting solutions using Tableau, Power BI, Plotly Dash, and D3.js to communicate model performance, customer insights, and operational metrics.Engineered data pipelines and BI reporting frameworks using SQL, Python, and Unix scripting to process large-scale datasets and improve enterprise reporting efficiency.Implemented enterprise monitoring and analytics solutions using Splunk and Adobe Analytics, developing automated alerts and performance monitoring dashboards to track business activity and system health.Collaborated with Finance and Risk stakeholders to define analytics requirements and translate business needs into production-ready BI dashboards and data products.Supported analytics product lifecycle including requirements gathering, KPI definition, dashboard development, deployment, and iterative improvements based on stakeholder feedback.Worked with data engineering teams to validate data pipelines, ensuring accuracy, completeness, and freshness of financial analytics datasets.
EDUCATION
Noble degree & PG college
Bachelor of Science, Mathematics and Computer Science
University of North Texas
Master of Science, Data science
ABOUT LAVANYA N
Data Scientist with 5 years of experience designing and deploying end-to-end machine learning solutions, advanced analytics models, and scalable data pipelines across enterprise environments. Strong expertise in Python, SQL, statistical modeling, NLP, deep learning (DNN, CNN, RNN), and recommender systems with hands-on experience in building AI/ML pipelines and RESTful APIs. Proficient in data extraction, transformation, and exploratory data analysis using MS SQL Server, MySQL, PostgreSQL, and NoSQL databases. Experienced in predictive modeling, clustering (K-Means, PCA, LSA), model evaluation (Cross Validation, ROC-AUC, Log Loss), and bias-variance optimization. Skilled in developing interactive dashboards and business intelligence solutions using Tableau, Power BI, Splunk, and cloud data platforms including AWS, Azure, and Big Query. Strong foundation in data structures, algorithms, and object-oriented programming with proven ability to translate complex business requirements into scalable, data-driven solutions.
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