Data Science Machine Learning

Kalyani Khandait

Master’s in Data Science University of Delaware August 2024 - Present

Bachelors in Computer Engineering Savitrbai Phule Pune University, Maharshtra, India July 2023 EDUCATION

PROJECTS

Research Assistant, Dutta Lab, University of Delaware Department of Animal and Food Sciences, Supervisor: Dr. Aditya Dutta Conducting research on microbiome and genome differences in ovarian cancer models using hens, with the goal of identifying key microbial and genetic variations related to cancer development. Analyzing large-scale microbiome and genome data sets to determine significant disparities in samples from hens with and without ovarian cancer, contributing to translational research linking findings to human ovarian cancers. Relevant Courses: Regression Analysis, Mathematical Techniques in Data Science EXPERIENCE

CPU Performance Analysis Using Regression Techniques Performed regression modeling to analyze the impact of machine specifications (e.g., memory, cache, cycle time) on CPU performance using the UC Irvine Machine Learning Repository dataset. Developed and validated multiple linear regression models (R = 0.97), utilizing Box-Cox transformations and variance inflation factors (VIF) to address multicollinearity and ensure compliance with regression assumptions. Prediction of Basketball Game Winners Using Machine Learning Developed predictive models leveraging Random Forest, Ridge Classifier, and Logistic Regression, achieving 90% accuracy with Random Forest.

Processed and analyzed large datasets using advanced techniques like sequential feature selection and time-series split. Enhanced prediction by integrating rolling averages, game context, and performance metrics, providing actionable insights for sports analytics.

Virtual Intern, Certified by Amazon Web Services

AWS Cloud Foundation Course highlighted proficiency in Amazon EC2 instance hosting and connectivity with Amazon S3 object storage. Demonstrated adeptness in interacting with SQL and NoSQL databases on Amazon Redshift and DynamoDB. Used and worked with AWS VPC, CloudWatch, Auto Scaling, and AWS Lambda for serverless operations. AWS Cloud Architecting Certification Hands-on experience with building scalable cloud infrastructures using EC2, Lambda, and Elastic Load Balancing, S3, CloudFront, RDS, and Route 53 for efficient application management. Familiar with AWS Security Hub, cost optimization tools, and cloud performance monitoring. Crowdfunding For StartUp Ventures using Blockchain Technology Bachelor’s Final Year Project - Networking & Security Developed a high-performance, cross-platform mobile application for startup crowdfunding using Flutter, enabling campaigns to connect with investors, including the general public. Designed and deployed secure, scalable smart contracts with Solidity and Truffle, facilitating transparent transactions on the Ethereum blockchain.

Managed blockchain interactions through platform-sensitive tokens convertible to INR and ERC-20 tokens, Utilized MongoDB Cloud Atlas for efficient data management of campaign and transaction records. Waste Management Using Blockchain Technology –

LNNS, Springer.

Crowdfunding Using Blockchain for Startup Ventures

– IJCA

Crowdfunding Using Blockchain for Startup Ventures

– ICCUBEA, IEEE.

PUBLICATIONS

+1-302-***-**** ********@****.*** Newark, DE https://github.com/kalyani-10 https://www.linkedin.com/in/kalyani-khandait/ S K I L L S

Languages & libraries -

Python, SQL, Java, R, SAS, C++, PyTorch, Matplotlib, Scikit, Numpys, Pandas,, Sklearn

Software Technologies

Amazon AWS, Microsoft Office, Power BI

Song Recommendation Using Facial Emotion Recognition Developed a CNN-based model achieving 95.12% training and 64.81% test accuracy. Optimized face detection with Haarcascades, improving processing speed by 50% and accuracy by 35%. Fine-tuned performance using cross-validation, confusion matrices, and ROC curves.

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