Vishnu Nair Email & Phone Number

Philadelphia, Pa, Us

Bryn Mawr, Pennsylvania, United States

Philadelphia, Pennsylvania, United States

• Conducting computational analysis using Python/BASH on genome sequence data to elucidate the complex interplay between germline and tumor genetics in children with neuroblastoma• Developing hidden markov models (chromHMM) to infer regulatory regions across genomes of neuroblastoma patients

Greater Philadelphia

• Conducted extensive experimental research of YOLO-v8 model to detect various types of aircraft, thereby creating a ~80% precision surrogate model for team to deliver to client• Added functionality to YOLO-v8 codebase to apply skews and delete labels for testing model robustness, indicating candidacy strength of model based on client-specification • Improved precision/recall metrics by 15% after discovering optimal optimizers, learning rates, dataset augmentations after conduction of experiments• Conducted EDA in QGIS and Python; ran PCA/t-SNE on imagery to visualize pixel distributions temporally

Houston, Texas, United States

Creating instructional and project-based articles that bring attention to a variety of topics within the field of data science, machine learning, and artificial intelligence

Dallas, Texas, United States

• Conducted comprehensive financial analysis using SQL and Python for a Fortune 50 corporation to swiftly address payment platform transaction discrepancies• Identified 4-5 high-risk issues, aligning operations with existing regulatory standards and safeguarding substantial financial assets• Crafted sophisticated SQL scripts to evaluate the precision of fraudulent transaction classification for a key client, facilitating customer retention• Executed meticulous data pipeline validation in Python, unveiling potential logical gaps and enhancing data integrity for the client's operations

Remote

• Constructed convolutional autoencoders for nuclear data compression and re-creation in Keras, obtaining a mean-squared error of the order -8 and thus allowing for the team to discard gigabytes of data• Implemented non-linear regression methods in Python including neural network, bagging, and random forest regressors for neutron transport fitness value prediction, obtaining a mean-squared error of the order -7• Developed algorithms using Regex and OOP principles in Python to parse and pre-process hundreds of nuclear data text files allowing for team to utilize and more efficiently train machine learning models

Austin, Texas Area

• Crafted a novel analysis strategy to estimate area-of-effect for military signalemitters and classified key features contributing to interference using Python• Used support vector machines, neural networks, and generated artificial datausing SMOTE in Python for exploratory data analysis and utilization of signaldata; also conducted hyper-parameterization tuning on said models• Developed algorithms to test optimal bandwidth frequencies for variousmilitary hardware and conducted receiver analysis via signal processing

Master'S Degree, Data Science, 3.83

Coursework: CIS 519 Applied Machine Learning, CIS 522 Deep Learning, CIS 545 Big Data Analytics, CIT 591 Intro to Software Development.

Bachelor'S Degree, Mathematics

• Applied Statistical Modeling Certificate • Evidence and Inquiry Certificate (Computational Environmental Science)

Bachelor'S Degree, Biochemistry