• Please Enter All Locations You Are Open to Work (each line will be each city, country location)
    United States
  • Allow Profile Promotion To Recruiters/Companies Yes
  • Allow Profile Promotion on Social Media Yes
  • Allow Profile Promotion to Alumni Yes
  • Viewed 104


  • - 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.


  • 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

    Data Analyst

    • Developed interactive dashboards using Tableau to visualize complex data sets, resulting in a 30% improvement in data analysis
    • 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
    • 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.