Headline

Master Thesis Project @ IIT Kharagpur | Statistical Analysis, Hypothesis Testing

About

Pursuing a Master of Science in Mathematics at IIT Kharagpur, with a focus on statistical analysis and hypothesis testing. Currently conducting a Master Thesis Project under Dr. Somesh Kumar, where we developed an end-to-end machine learning pipeline using a healthcare dataset with 2,700+ records, achieving 78.5% accuracy and an AUC of 0.836. Proficient in statistical analysis, hypothesis testing, and data extraction, with hands-on experience in implementing rigorous analytical models using Python and Scikit-Learn. Motivated to contribute to data analytics and data science roles, with a commitment to applying analytical rigor to solve real-world challenges.

Location

Kanpur

AI stack

codex

cursor

Work experience

Master Thesis Project - Statistical Hypothesis Testing at Indian Institute of Technology, Kharagpur, Jul 2025 - May 2026 · 11 mos, On-site, Statistical Analysis of Pima Indians Diabetes Dataset — Master's Thesis, IIT Kharagpur Supervised by Dr. Somesh Kumar • Built an end-to-end ML analytical pipeline on 2,700+ healthcare records—covering data cleaning, EDA, feature engineering, predictive modelling, and performance reporting. • 78.5% accuracy and AUC of 0.836 Trained Logistic Regression models achieving • Applied Bootstrap resampling, ANOVA, and Chi-Square tests for robust hypothesis testing and feature significance analysis—directly relevant to acquisition targeting and ROI analysis. • Delivered structured findings and visualisations aligned with a full data science lifecycle, from raw data to executive-level insight communication. Tools: Python · Scikit-learn · Pandas · NumPy · Logistic Regression · Hypothesis Testing · Statistical Modelling

Analysis Specialist at IIT Kharagpur, Jul 2025 - May 2026 · 11 mos, Analyzed a large-scale dataset of 2,700+ healthcare records to identify patterns and risk factors, covering data extraction, cleaning, wrangling, segmentation, and statistical modeling. Built Logistic Regression predictive models achieving 78.5% accuracy and AUC of 0.836 through rigorous hypothesis testing (Bootstrap, ANOVA, Chi-Square) and iterative model validation using Python and Scikit-Learn. Produced 3 structured analytical reports and visual dashboards summarizing model performance and key findings, translating technical results into clear recommendations for stakeholder review.

Summer Internship at Indian Institute of Technology, Kharagpur, May 2025 - Jul 2025 · 3 mos, Hybrid, Completed my Summer Internship on "Advanced Linked List Operations in C++" under the guidance of Dr. Pawan Kumar , Department of Mathematics ,Indian Institute of Kharagpur. • Researched and implemented advanced Linked List data structures in C++ under the supervision of Dr. Pawan Kumar. • Developed solutions for complex pointer manipulation, memory management, and algorithm optimization in C++.

Research Intern at Dept. of Mathematics, IIT Kharagpur, May 2025 - Jul 2025 · 3 mos, Designed and implemented 5+ data structure modules in C++ including linked lists, sparse matrices, and graph representations - building efficient, scalable analytical solution foundations. Delivered 3 independent project milestones on schedule, collaborating with supervisors across weekly reviews to ensure outputs met rigorous academic and technical standards.

Education

Master of Science, Mathematics, Indian Institute of Technology, Kharagpur

Master of Science - MS, Mathematics, Indian Institute of Technology, Kharagpur