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Rajalakshmi Renganathan

@rajalakshmirenganath

Detail-focused Data Analyst with a passion for Data Analytics.

Egypt
Message

I am a detail-focused Data Analyst with a proven track record in gathering, cleaning, and organizing data for use by technical and non-technical personnel. I have a deep understanding of business requirements and the ability to translate them into actionable project plans. With a strong dedication and hard-working attitude, I am passionate about Data Analytics and strive to deliver high-quality results.

Throughout my career, I have honed my skills in Python, Data Cleaning, SQL Server, Data Analysis, R Programming, Data Mapping, Machine Learning, Data Validation, Adaptability and Flexibility, Data Visualization, Critical Thinking, and Statistical Analysis. These skills have allowed me to excel in my previous roles and contribute to the success of the organizations I have worked with.

In my most recent role as an Assistant Manager at HSBC Chennai, I was responsible for performing end-to-end stress testing on the reporting framework called HERAS. I validated risk-weighted assets of the bank and generated reports based on stress testing scenarios provided by the regulator. I also analyzed data to identify root causes of problems and recommended corrective actions. By improving decision-making processes with accurate data analysis and visualization techniques, I contributed to better-informed decisions within the organization.

Prior to that, as a Team Leader at HCL Technologies Chennai, I played a key role in the migration from FERMAT to the Moodys reporting tool RISK Authority (RAY). I conducted end-to-end testing of the RAY tool, ensuring compliance with BASEL 2 requirements. I also resolved issues effectively during LE testing and carried out analysis of the given data to draw correct inferences. My strong analytical skills and attention to detail allowed me to excel in this role.

Experience

HS

Assistant Manager

HSBC

Jul 2016 - Jul 2019 (3 years)

Performed end-to-end stress testing on the reporting framework called HERAS built on SAS to validate risk weighted assets of the bank and generate reports based on stress testing scenarios provided by the regulator. Analyzed data to identify root causes of problems and recommend corrective actions. Improved decision-making processes with accurate data analysis and visualization techniques.

Tech stack

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