House Price Prediction Model
Applied machine learning models to the Chennai House Price dataset using multiple data scaling approaches and evaluated eight models with R2 scores. Used Google Colab, Pandas, Matplotlib, scikit-learn, and NumPy.
Results-driven Business Analyst with experience in cross-functional underwriting retail automation, requirements analysis, premium calculator automation, UAT, deployment, and stakeholder collaboration. Also experienced in data science projects and foundational software engineering with Golang and Terraform.
Zurich Kotak General Insurance
December 2024 - Present · Mumbai
Designed and automated premium calculators across multiple retail lines of business; developed Excel-based underwriting automation tools; partnered with underwriters and stakeholders to analyze requirements and ensure regulatory compliance; contributed to OEM automation; led process automation initiatives; conducted UAT, validation, deployment, and post-deployment support; used JIRA to track and resolve bugs.
Takeoff Technologies Inc
May 2023 - July 2023 · Pune
Built REST APIs using Golang; used Google Cloud Platform services including Cloud Functions 2nd-gen, Cloud Firestore, and Cloud Storage; implemented Terraform for infrastructure provisioning; completed a company-specific API suite capstone project.
NeoDocto Inc
September 2021 - January 2022 · Remote
Developed a ManyChat bot; created a video testimonial; led a team of six interns and helped them achieve all assigned tasks; applied digital marketing techniques.
Bachelor of Technology (B.Tech), Computer Engineering and Business Systems
August 2024
Academic Score: 3.43/4 CGPA. Publication: “Efficacy Check of Haralick and Symmetry Features for Skin Lesions Classification,” International Journal of Computer Applications 185(3):1-8, April 2023.
Applied machine learning models to the Chennai House Price dataset using multiple data scaling approaches and evaluated eight models with R2 scores. Used Google Colab, Pandas, Matplotlib, scikit-learn, and NumPy.
Built a Streamlit app visualizing injury hotspots, collision timing, and the top five dangerous NYC streets for pedestrians, cyclists, and motorists. Used Python and VS Code.
Developed a Java bank management system with functionality for adding customers, changing customer names, checking account balances, and summarizing accounts. Used Java and VS Code.
Conducted exploratory data analysis using Pandas and Seaborn; created multiple plots and a heatmap; performed feature selection with recursive feature elimination and cross-validation and applied PCA. Used Python, NumPy, Pandas, Google Colab, Seaborn, Matplotlib, scikit-learn, and XGBoost.
Performed exploratory data analysis using Pandas and Seaborn, created multiple visualizations and heatmaps, and analyzed tumor types, correlations, and variance.
Implemented a menu-driven mini project demonstrating Earliest Deadline First, C-SCAN, Half-Fit, and Blowfish algorithms for process, I/O, memory, and file management. Used Google Colab, Python, and PyCrypto.
Rotaract Club of Bombay Airport
December 2021 - November 2024