

Motivated and detail-oriented Data Analyst fresher with an MCA background and hands-on knowledge of SQL, Excel, Python, Pandas, Power BI, Machine Learning, SAS, and Generative AI. Seeking an entry-level Data Analyst opportunity to apply analytical, problem-solving, and data visualization skills to generate actionable business insights and support data-driven decision-making.
IFRS 9 Expected Credit Loss (ECL) Analysis
Type: Financial Risk Analytics & Machine Learning
Date: August 2026
Analyzed loan portfolio data to estimate Expected Credit Loss under IFRS 9 using Python, SQL, Excel, and Machine Learning. Performed data cleaning, EDA, risk segmentation, and analysis of PD, LGD, and EAD. Developed predictive models to identify default risk and created dashboards to monitor ECL, credit risk, loan performance, and high-risk customer segments.
Date of Birth: 05 March 2001
Gender : Female
Marital Status : Unmarried
As a fresher, I may not have extensive industry experience, but I am a quick learner, detail-oriented, and committed to delivering accurate, data-driven solutions. I am confident that my technical skills, problem-solving ability, and willingness to learn will allow me to contribute effectively to your team .