Data Science Analyst

MIHIR GATHANI

540-***-**** ad5da3@r.postjobfree.com linkedin.com/in/mihirgathani github.com/mihirgathani EDUCATION

University of Washington Sep 2023 - Mar 2025

Master of Science in Data Science GPA - 3.9/4.0 Seattle, WA Virginia Tech Aug 2019 - May 2023

Bachelor of Science in Computer Science GPA – 3.81/4.0 Blacksburg, VA TECHNICAL SKILLS

Programming 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 EXPERIENCE

Amtrak Sept 2022 - Present

Cybersecurity 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 Pearson’s r between breathing amplitude & sickness prompting further study PROJECTS

AI-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, & Tukey’s 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 client’s 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

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