KRANTHI KASTHURI
Hyderabad,TG
Summary
Experienced data professional with 2+ years of expertise in data analysis, transformation, and pipeline development. Proficient in PySpark, SQL, and Python for data processing and analysis. Skilled in building and optimizing ETL solutions, integrating data from diverse sources, and ensuring data accuracy and consistency. Strong background in identifying patterns, uncovering insights, and enhancing data workflows to support business decisions. Adept at handling large datasets and improving data quality to drive analytical outcomes.
Overview
2
2
years of professional experience
Work History
Fraud Analyst
TSYS
03.2022 - 04.2024
- Evaluated customer data to identify and prevent fraudulent activities.
- Reviewed reports and individual transactions which appeared suspicious to uncover possible fraudulent activity.
- Analyzed large amounts of data to find patterns of fraud and anomalies.
- Tracked fraud cases and monitored trends to develop strategies for prevention.
- Established strong relationships with external partners such as banks and credit bureaus, facilitating efficient exchange of information related to suspected fraudulent activities.
- Enabled faster resolution of fraud claims by automating parts of investigation process.
- Provided training to new team members on fraud detection techniques, enhancing their ability to identify potential threats quickly and accurately.
- Improved overall efficiency in fraud analysis by streamlining processes and optimizing tools used for data analysis.
- Implemented robust verification processes, decreasing incidence of identity theft-related fraud.
Education
Master of Science - Artificial Intelligence And Robotics
University of Hertfordshire
Hatfield10-2021
Bachelor of Technology - ECE
Lovely Professional University
Phagwara, India01.2018
Skills
- Cloud ETL: Microsoft Azure Data Factory, Azure Data Bricks
- Programming languages: SQL, Python, Py-SQL, Py-Spark
- Technologies: Data Modeling, ETL development, SQL Expertise, Data Warehousing, Delta lake, Spark
Projects
Developed an end-to-end ETL pipeline to process and analyze healthcare data for cardiovascular disease prediction using the Cleveland Heart Disease dataset. Built and trained a machine learning model using Python and Scikit-learn, Pandas achieving 93% accuracy. Designed and optimized data workflows to enhance processing efficiency and model performance.
Timeline
Fraud Analyst
TSYS
03.2022 - 04.2024
Master of Science - Artificial Intelligence And Robotics
University of Hertfordshire
Bachelor of Technology - ECE
Lovely Professional University
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