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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE EMAIL AVAILABLE LINKEDIN LINK AVAILABLE github.com/Candidate's Name EDUCATIONUniversity of Washington Sep Street Address - Mar 2025Master of Science in Data Science GPA - 3.9/4.0 Seattle, WA Virginia Tech Aug Street Address - May 2023Bachelor of Science in Computer Science GPA 3.81/4.0 Blacksburg, VA TECHNICAL SKILLSProgramming Languages: Python, Java, R, C, C#, React, HTML, CSS, SQL, JavaScript, Flask, PySpark, Streamlit, Langchain Data Science: Python (Pandas, NumPy, sklearn, PyTorch), Keras, Autoencoders, LSTM Architecture, Tableau, PowerBI, LLMs Cybersecurity Technologies: Microsoft Sentinel, Microsoft Defender, MITRE ATT&CK, ServiceNow, Bash Scripting Others: Linux, GIT, Anaconda, Docker, Kubernetes, Microsoft SharePoint, Figma, Tableau Prep, Confluence, Microsoft Excel WORK EXPERIENCEAmtrak Sept 2022 - PresentCybersecurity Data Analyst Intern Washington, D.C. Detected sign-in failure patterns within security big data using PySpark, driving the adoption of password-less access Employing PowerBI for analytical visualizations to comprehend security distributions and optimize capital project expenditure Researching Cybersecurity Mesh Architecture (CSMA) to mitigate security silos & enhance overall security Leveraged ServiceNow for incident management, integrating ATT&CK framework & Azure Sentinel for threat correlation Secured mobile devices by configuring policies & monitoring alerts using Microsoft Defender for Endpoint MIND Lab, University of Maryland Prof.Ashok Agrawala May 2021 - Aug 2021 Machine Learning Research Assistant: Analyzing Human Breathing Patterns to Detect Signs of Sickness College Park, MD Developed ML models to perform dimensionality reduction from 13 to 2 features, aiding in data visualization Implemented SOTA LSTM Autoencoder in Python to analyze anomalies in data ensuring a high accuracy of 88% Visualized the breathing data using graph visualizations to determine patterns indicative of illness Discovered a correlation of 0.6 using Pearsons r between breathing amplitude & sickness prompting further study PROJECTSAI-Powered Content Analysis and Recommendation Platform Jan 2024 - Mar 2024 Created a dynamic website using Streamlit, integrating features for content analysis, recommendation, and chat functionality Built backend modules to get YouTube video transcripts, summarize content, & identify keywords using YouTube & Gemini API Integrated large language models (LLMs) such as RoBERTa and MiniLM for enhanced real-time content recommendation Implemented a context-aware chatbot using Gemini API and Langchain, providing responses based on transcript analysis Statistical Analysis of Factors Influencing Online News Popularity Jan 2024 - Mar 2024 Leveraged statistical methods such as logistic regression, A/B testing, chi-square tests, ANOVA, & Tukeys HSD to analyze factors influencing news popularity, identifying significant impacts of multimedia, publication timing, title length, and keyword usage Constructed a multiple linear regression model (adj. R = 0.73) to model shares as a function of predictor variables like article length and sentiment, guiding data-driven analysis for popularity maximization US Road Accident Fatality Analysis (2010 - 2021) Oct 2023 - Dec 2023 Developed a Tableau Dashboard for analyzing US traffic fatalities encompassing national, state, and county levels, and featuring detailed driver profiles involved in fatal accidents to promote awareness and caution Utilized Python, SQL, and Tableau Prep to perform data wrangling & preprocessing to aid with visualization Classifying Electronic Theses and Dissertations (ETDs) Jan 2023 - May 2023 Created a Gold Standard Dataset to aid with the automated classification of ETDs using Python Developed a website with Node.js, Bootstrap & PostgreSQL to see pre-classified ETDs based on search queries Integrated machine learning models with the website, to enable real-time classification of user-provided ETDs Personalized Boutique Website Jan 2023 - May 2023 Developed a personalized e-commerce website using Python, React, Flask & MySQL for a real clients boutique Implemented unit and integration testing strategies to ensure platform reliability, and scalability, delivering a seamless user experience. LEADERSHIP AND ACHIEVEMENTS Guided & mentored 100+ students in C programming & debugging as a UTA at Virginia Tech (VT) Aug 2021 - Aug 2022 Appointed as the Undergraduate Representative for the Diversity Committee at VT Dept. of CS Sept 2021 - Aug 2022 Selected as a Software Developer at HokieNauts, a design team that secured 2nd place nationally Dec 2020 - Jun 2021 in the NASA SUITS challenge among 22 teams |
