Machine Learning Computer Science

Aryan Gandrath

Q *****************@*****.*** github.com/Aryangandrath

Æ +1-704-***-**** Aryangandrath

PROFILE

Motivated and detail-oriented Computer Science graduate with expertise in data analysis, machine learning, software development, and cloud computing. Proven experience in building predictive models, full-stack applications, and scalable solutions using Python, JavaScript, SQL, and Java. Strong understanding of RESTful APIs, DevOps tools, data visualization, and networking. Passionate about leveraging data and technology to solve real-world problems and deliver business value. EDUCATION

University of North Carolina at Charlotte Charlotte, NC Master of Science in Computer Science( Current GPA - 4.0/4.0) May 2026 Vellore Institute of Technology,Chennai Chennai,Tamil Nadu Bachelor Of Technology Computer Science And Engineering (GPA - 3.1/4.0) May 2024 SKILLS

- Languages: Java,Python, JavaScript, HTML, CSS, R, SQL.

- Databases: SQL, MySQL, Oracle, MongoDB, Apache Spark, Hadoop, ETL Pipelines, Airflow.

- Machine Learning & AI: LSTM, CNN, SLAM, Reinforcement Learning (RL), Kalman Filtering, Model Predictive Control (MPC)

- Tools Libraries: Pandas, NumPy, Scikit-learn, Tableau, Power BI, Matplotlib, Seaborn, Power BI, Data Preprocessing, Feature Engineering, Predictive Modeling.

- Tools & Frameworks: GitHub, MS Excel, Arduino

- Cloud DevOps: AWS (S3, EC2, Lambda), Azure, GCP, Git, Jenkins.

- Networking: TCP/IP, DNS, DHCP, VPN, Subnetting, Network Security, Wireshark, OSI Model. EXPERIENCE

Microsoft — Security, Compliance & Identity Intern May 2023 – July 2023

{ Developed secure identity and access management solutions using Microsoft Azure and Azure Active Directory (Azure AD).

{ Demonstrated knowledge in cloud compliance, Microsoft Defender, and threat protection.

{ Worked on real-world case studies involving RBAC, secure authentication, MFA, and compliance workflows.

{ Gained hands-on experience with cloud security, zero-trust architecture, and regulatory compliance tools.

{ Successfully earned the SC-900 Microsoft Certification to validate expertise in Microsoft’s security solutions.

PROJECTS

Brain Stroke Prediction using Machine Learning - RESEARCH PROJECT

{ Published research in a peer-reviewed journal on stroke prediction using healthcare data.

{ Trained and validated models like Logistic Regression, Random Forest, and XGBoost.

{ Achieved 92% accuracy using feature engineering and hyperparameter tuning.

{ Visualized feature importance and prediction results using Seaborn and SHAP values.

{ Implemented early-stage stroke risk stratification using SHAP and LIME for model interpretability.

{ Built a data pipeline to handle imbalanced datasets using SMOTE and applied 5-fold cross- validation.

YouTube Network Analysis

{ Enhanced YouTube model accuracy by 15 percent with data mining techniques.

{ Predicted engagement metrics using Logistic Regression, Random Forest, Decision Trees.

{ Visualized network trends using Python’s Matplotlib and Seaborn.

{ Built a dashboard prototype to monitor engagement trends dynamically. Self Driving Car with Accident Prediction

{ Implemented emergency alert system reducing response time by 30 percent.

{ Integrated CNN, LSTM, SLAM, RL, and Kalman Filtering.

{ Designed a notification system that alerts contacts in case of an accident.

{ Simulated real-time driving scenarios using Carla Simulator and ROS. COVID-19 Global Dashboard

{ Developed an interactive dashboard using Streamlit to visualize global COVID-19 statistics.

{ Integrated real-time data using APIs from Johns Hopkins University and WHO.

{ Displayed key metrics: confirmed cases, recoveries, and deaths with daily trends.

{ Designed a responsive UI with interactive plots using Plotly and Pandas. Personalized Fitness Scheduler (MERN Stack)

{ Built a full-stack fitness app to generate personalized workout schedules based on goals and availability.

{ Implemented user authentication, schedule management, and a dynamic workout library.

{ Designed a responsive UI using React, connected to a Node.js/Express backend with MongoDB.

{ Added features like email reminders, calendar sync, and real-time tracking of workout logs. CERTIFICATIONS

{ Operating Systems and You – Google Feb 2022

- Learned core concepts of OS like processes, threads, and file systems.

- Performed hands-on tasks using Linux CLI and shell scripting.

- Understood system calls, package management, and user management.

{ What is Data Science? – IBM Apr 2021

- Gained clarity on data science workflow and roles in a data-driven environment.

- Explored tools like Jupyter Notebook and Watson Studio.

- Understood ethical aspects and real-world use cases of data science.

{ MongoDB for SQL Experts – MongoDB Nov 2024

- Transitioned SQL knowledge to MongoDB query language and NoSQL schema design.

- Implemented aggregation pipelines and indexing strategies.

- Built document-based data models and performed real-world queries.

{ Become a Data Scientist – LinkedIn Learning Feb 2023

- Completed end-to-end learning path including data wrangling, ML, and visualization.

- Learned data storytelling using Tableau and Power BI.

- Gained proficiency in supervised learning, clustering, and model validation.

{ Java Training – IIT Bombay Jun 2023

- Gained strong foundations in Java syntax, OOP concepts, and exception handling.

- Built small-scale Java applications using file I/O and GUI components.

- Completed assessment modules under the Spoken Tutorial Project (IITB).

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