About
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Viewed 278
Education
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- 2023
University at Buffalo, The State University of New York
Masters in data sciences and applications
GPA: 4.0/4.0 • Relevant Coursework: Machine Learning, Statistical Data Mining, Database Management System, Probability and Statistics.
Experience
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2023 - 2023
Department of Mechanical Engineering, UB
Graduate Researcher Assistant
• Conducted extensive research on the application of Bayesian approach in neural networks, resulting in a 20% improvement in model
accuracy compared to traditional methods.
• Implemented Hamiltonian Monte Carlo MCMC method to analyze and quantify uncertainty in neural networks, leading to a
reduction of 15% in false positive errors.
• Developed and implemented robust way for evaluating model performance by computing marginal likelihood using Reciprocal
Importance Sampling RIS technique. -
2022 - 2022
Deloitte
Data Analyst
• Developed interactive dashboards using Tableau to visualize complex data sets, resulting in a 30% improvement in data analysis
efficiency.
• Migrated data from multiple data sources, including Excel spreadsheets and SQL databases, to Snowflake data warehouse, resulting
in improved data accessibility and reduced query response time by 40%.
• Collaborated with cross-functional teams to identify and resolve data quality issues during the migration process, resulting in a 95%
improvement in data accuracy. -
2020 - 2022
TATA Consultancy Services
Junior Data Engineer
• Migrated a Financial Data Warehouse of over 1000 TB from Teradata based RDMS to Snowflake Data warehouse, resulting in a
more efficient and cost-effective data storage solution for the company.
• Developed and executed a comprehensive data migration strategy, reducing the overall migration timeline by 30% and minimizing
downtime for end-users.
• Implemented automated testing processes for data accuracy and completeness, resulting in a 99.9% success rate for migrate data
sets.
• Designed and implemented IAM policies and role hierarchies in Snowflake to enforce the principle of least privilege (PoLP),
reducing the risk of unauthorized data access by 75%.
• Collaborated with cross-functional teams to identify opportunities for optimizing queries in Snowflake, resulting in a 40% reduction
in query run times and improved data analysis capabilities.