I operate in an exciting space at the intersection of Finance and Tech. I thrive in the virtual realm, building cloud castles with AWS, Azure, and GCP magic 🌩.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
HDFC BANK
Data Scientist
June 17, 2026 – Present
Automated-Patch-Management
May 2, 2024 – May 2, 2024
AWS services to streamline the process of applying security updates and bug fixes to your operating systems and applications. This helps you maintain a secure and up-to-date cloud environment. pen_spark
View ProjectDSA-Zero-to-Hero
February 17, 2024 – February 19, 2024
DSA-Zero-to-Hero — GitHub repository
View ProjectSecure-Private-API-Deployment
January 26, 2024 – January 31, 2024
The Secure Private API Deployment project showcases the ability to securely deploy a private API using AWS Cloud Development Kit (CDK) and related services.
View ProjectAWS-EC2-RDS-Schedular
January 25, 2024 – March 10, 2024
The EC2 Instance Scheduler project allows you to automate the starting and stopping of EC2 instances on a predefined schedule. This helps you save costs by ensuring that your instances are only running when needed, such as during business hours or specific time periods.
View ProjectData-Analyst-training
January 22, 2024 – January 22, 2024
Data-Analyst-training — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a breadth of interest in DevOps (Terraform, Docker, AWS automation) and some data analysis. The current role is listed as 'Data Scientist' at HDFC BANK, which aligns with the target role. However, the 'experienceLevel' is 0, and the start date for the current role is in the future (2026), which is inconsistent and suggests a lack of professional experience in the target role. The project descriptions are brief, limiting insight into depth of contribution or collaboration. The diversity of technologies (HCL, Python, JavaScript, Java, HTML, CSS) indicates a willingness to learn but also a potential lack of deep specialization in Data Science specific tools.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.