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Data Analyst with less than a year in Machine Learning, SQL, and Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Data Analyst with a strong academic background in Ceramic and Civil Engineering, complemented by practical experience in data analysis and machine learning. Proficient in Python, SQL, and Excel, with a proven ability to analyze complex datasets, identify key insights, and drive data-driven decision-making. Skilled in developing predictive models, optimizing marketing strategies, and enhancing user engagement metrics. Seeking a challenging role to leverage analytical and problem-solving skills to contribute to business growth.
Indian Institute of Technology (IIT BHU), Varanasi
M. Tech · Ceramic Engineering
August 1, 2023 – June 30, 2025
Jodhpur Institute of Engineering and Technology, Jodhpur
B. Tech · Civil Engineering
August 1, 2018 – June 30, 2022
Deep Job Technologies Pvt. Ltd.
Data Analyst Intern
May 1, 2024 – July 1, 2024
India
Blackcoffer
Data Analyst Intern
September 1, 2023 – November 1, 2024
India
Identifying Fraudulent Credit Card Transactions Using Machine Learning Models and Metrics
June 1, 2026 – Present
Tackled the challenge of detecting fraudulent transactions in a highly imbalanced 50K+ entries dataset using Python and SMOTE for robust preprocessing and feature engineering. Applied logistic regression, SVM, and KNN with grid search to maximize model performance, achieving up to 93% recall, 91% F1-score, and 0.95 ROC-AUC.
View ProjectAI Powered Credit Risk Evaluation for Smarter Financial Lending Decisions
June 1, 2026 – Present
Built and deployed a Credit Scoring Model using Python, ScikitLearn, Logistic Regression, and XGBoost to predict customer creditworthiness, achieving 91% recall, 0.94 ROC-AUC, and 15% improvement in approval accuracy. Optimized data preprocessing and normalization (Z-score, MinMaxScaler) pipelines, enhancing model stability and convergence speed by 28%. Conducted EDA and feature engineering analysis with Pandas, NumPy, uncovering key behavioral predictors that strengthened risk assessment and decision precision.
View ProjectChairperson of the Indian Ceramic Society Student Chapter
IIT (BHU) Varanasi
June 1, 2026 – Present
Amazon ML Summer School selection exam
Amazon
January 1, 2024 – Present
Top 1%tile in GATE examination 2023
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic background in Ceramic Engineering followed by an M.Tech, combined with a strong interest and practical experience in Data Analysis, shows adaptability and a proactive approach to career transition. The projects demonstrate initiative and self-learning beyond formal education. The diverse application of data analysis across marketing, finance, and content strategy suggests a broad interest in applying skills to different domains, which can be a good cultural fit for dynamic environments. The Chairperson role indicates leadership potential.
Soft Skills & Operational Fit
The candidate's project and internship descriptions indicate an ability to identify problems, design analytical solutions, and measure impact, suggesting a problem-solving mindset and results-oriented approach. The descriptions are clear and quantify achievements, which implies good communication of technical work. Participation in the Amazon ML Summer School and GATE examination success indicates a strong drive for continuous learning and high aptitude.