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Data Analyst with 1+ years in Machine Learning, Python, and Power BI seeking an internship.
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Assessing your cultural and operational fit
3rd-year Data Science student with hands-on experience building end-to-end ML pipelines and interactive dashboards. Developed a credit risk classifier achieving ROC-AUC 0.90 on real banking data using XGBoost and advanced feature engineering. Proficient in Python, SQL, and Power BI. Seeking a data analyst internship where I can turn messy real-world data into decisions that matter.
Oriental Institute of Science & Technology
B.Tech · Data Science
July 1, 2023 – July 1, 2027
Credit Risk & Loan Delinquency Predictor
January 1, 2025 – January 1, 2026
Built an XGBoost classification model on real-world banking data to predict consumer loan default risk, handling severe class imbalance through SMOTE and threshold tuning. Engineered 15+ features from raw transaction data; performed full preprocessing pipeline including missing value imputation and encoding. Achieved F1-Score of 0.80 and ROC-AUC of 0.90 Delivered an interactive ipywidgets dashboard for risk officers to query high-risk applicant flags in real time.
Predictive Property Pricing & Market Sentiment Dashboard
January 1, 2024 – December 1, 2024
Built a regression model to predict residential property prices from location, size, and market features; compared Linear Regression, Random Forest, and Gradient Boosting. Designed a 3-page Power BI dashboard covering market sentiment trends, seasonal sales patterns, and price distribution - used by 2 academic reviewers as a reference project. Automated the ETL pipeline from raw CSV ingestion to cleaned, model-ready data frames, reducing manual prep time by ~70%.
Data Visualization with Python
IBM Skills Build
January 1, 2025 – Present
Job Simulation in Data Analytics
Tata iQ by Forge
January 1, 2025 – Present
Python for Data Science
IBM Skills Build
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong interest in applying data science to real-world problems (credit risk, property pricing). The certifications and active participation in a Data Science Club indicate a self-starter who is keen on continuous learning and engagement within the data community. This aligns well with a culture that values initiative and practical application of skills. The target role of 'Data Analyst' is well-aligned with the demonstrated skills and project types.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude through participation in the Data Science Club and NSS Community Volunteer work. Project descriptions indicate an ability to deliver actionable insights and present findings, which are crucial for operational fit in a data analyst role. The academic nature of projects suggests a learning-oriented mindset.