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Data Analyst with less than a year in Financial Analytics & Machine Learning
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Assessing your cultural and operational fit
I.M.Sc. Mathematics and Computing student with strong foundations in Statistics, Machine Learning, Data Analytics, and Predictive Modeling. Experienced in developing credit risk models using Logistic Regression and Decision Trees, performing customer analytics, and generating business insights through Python, SQL, Excel, and Power BI. Skilled in statistical analysis, customer segmentation, and data-driven decision making with a strong interest in financial analytics and machine learning applications.
Odisha university of technology and research
Integrated M.Sc. · Mathematics and Computing
August 1, 2021 – June 30, 2026
KP Construction and Consultancy
Financial Data Analyst Intern
May 1, 2024 – July 31, 2024
India
Diwali Sales Analysis using Python
April 1, 2024 – May 31, 2024
Analyzed behavior of 11,225 customers to identify product demand patterns based on marital status, occupation, state, zone, age group and gender. Data-driven decision-making by using Python (NumPy, Pandas, Matplotlib, Seaborn) for exploratory data analysis. Top-Selling Products Optimization by Leveraging insights to optimize inventory planning and meet customer demands and Developed interactive Power BI dashboards to visualize customer demographics, product category performance, regional sales trends, and key business metrics.
Credit Risk Modeling of First-Time Borrowers using Logistic Regression and Decision Trees
April 1, 2024 – May 31, 2024
Developed a predictive credit risk model to estimate the default probability of first-time borrowers using demographic and financial attributes. Performed data cleaning, feature engineering, and exploratory data analysis (EDA) to identify key factors affecting credit risk. Implemented and compared Logistic Regression and Decision Tree models to classify borrowers into low-risk and high-risk categories. Evaluated model performance using Accuracy, Precision, Recall, F1-Score, ROC-AUC, and Confusion Matrix, providing insights for data-driven lending decisions.
SAP Certified Associate - Business Process Interation with SAP S/4HANA
SAP
January 1, 2025 – Present
Artificial Intelligence Builder (80 Hours)
FITT, Indian Institute of Technology Delhi
December 1, 2024 – Present
Career Essentials in Data Analysis
Microsoft and LinkedIn
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background in Mathematics and Computing, coupled with diverse projects in sales analysis and credit risk modeling, indicates a strong analytical mindset. Their interest in financial analytics and machine learning applications aligns well with data-driven organizational cultures. The certifications suggest a commitment to continuous learning and adapting to new technologies, which is a positive cultural indicator. However, with limited professional experience, their ability to collaborate in complex team environments and navigate organizational dynamics is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and skill development through multiple certifications. Their project descriptions indicate an ability to work with real-world datasets and translate analysis into actionable insights. The internship experience shows an understanding of business context in financial analysis. However, the candidate is still early in their career, and their operational fit for a senior role would require further assessment of independent problem-solving and leadership capabilities.