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Click here or scroll down to respond to this candidateCandidate's Name
Tallahassee, FL PHONE NUMBER AVAILABLE EMAIL AVAILABLE LINKEDIN LINK AVAILABLE EDUCATIONFlorida State University, MS in Data Science-Computer Science, GPA 4.0 Dec 2024 Sri Venkateswara University, B. Tech in Electronics and Communications, GPA 3.2 Apr 2018 EXPERIENCEIBM Bangalore, IndiaData Engineer Nov 2021 Jul 2023 Designed and Developed ETL pipelines for commercial analysis of Savings Products, leveraging automation to reduce data processing time by 40% and enabling data driven decision-making for a major banking client. Successfully Migrated 200+ workflows from Informatica to Ab Initio for multiple portfolios, improving efficiency and data processing capabilities. Automated object creation and data purging in HDFS using Unix Scripts, ensuring data integrity and 50% reduction in manual effort. Facilitated Client interactions for business requirements, scoping, and status reporting. Infosys Limited Mysore, IndiaTechnology Analyst May 2018 Oct 2021 Orchestrated data pipelines using Ab Initio, extracting PII data from 62+ diverse applications to build a secure self-contained repository in Hadoop/S3 object store. Developed HQL scripts for analysis and processing of External tables built on Avro files. Implemented PySpark jobs to retrieve associated consumer records from parquet data files in S3 Object store in response to consumer requests. Created bash scripts for encrypting and decrypting sensitive data using the GPG method to facilitate Data Privacy. Designed and executed generic ETL pipeline interfacing with heterogeneous data sources such as Hive, HDFS, Oracle, AWS S3, IMS, JSON, CSV Files, and Flat Files. Created Data Mart from multiple Subject Matters through ETL capabilities for Reporting. PROJECTSNBA Salary Prediction through Integrated Player Statistics and Contract Data R Developed a robust model that can predict player salaries enabling stakeholders to make data-driven decisions and negotiate contracts with precision, leading to significant cost savings and improved financial outcomes. Property Price Prediction PythonBuilt a predictive model using machine learning techniques to estimate property values, making them valuable tools for real estate professionals, lenders, and homeowners. Achieved a top 15% ranking (12/91) in the Kaggle FSU Statistics Department Fall 2023 Competition, with a score of 0.37398.TECHNICAL SKILLSProgramming Languages: Python, PL/SQL, T-SQL, Shell Scripting, PySpark, R, Numpy, Pandas Databases: Teradata, MySQL, Oracle, Microsoft SQL Server, HDFS, S3, Snowflake Tools: Ab Initio, SSIS, Azure Data Factory, Hive, Unix, Data Warehousing Machine Learning: Applied regression methods, Logistic Regression, Decision Trees, Random Forest, KNN, K-means. CERTIFICATIONS Microsoft Azure Data Engineer Associate (DP-203). Microsoft Azure Data Fundamentals (DP-900). Infosys Certified Python Programmer.ACHIEVEMENTS Insta Award for Excellence and Most Valuable Player Award for consistent performance from Infosys. Allstate Elite Pursuit Champion Award for State Privacy Laws Team. Barclays Client and Partner Success Award - 2022 and won a monetary prize of $500 for outstanding contribution. Rockstar Award for performance in Barclays 2022. |
