Machine Learning Artificial Intelligence

Arshita Reddy Rami Reddy

513-***-**** ********@****.**.*** linkedin.com/in/arshitaramireddy

EDUCATION

University of Cincinnati Aug 2023 – April 2025

Master of Engineering - Computer Science GPA-3.92

Courses: Operating Systems, Cloud Computing, Software Testing & QA, Large Scale SE, Advance Database Management, Advance Algorithms Anurag University Aug 2019 - May 2023

Bachelor of Technology - Artificial Intelligence GPA-3.4 Courses: Data Structures & Algorithms, Data Science & Analytics, Database Management System, Software Engineering, Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Big Data Hadoop SKILLS

Languages: Python, Java, R, C, C++, JavaScript, TypeScript, MATLAB Platforms: Linux, Windows, Ubuntu

Tools: MySQL, Jupyter Notebook, Visual Studio Code, R Studio, AWS, Docker, Tableau, OpenCV, Spreadsheets, Power BI Frameworks: Scikit, NLTK, Keras, TensorFlow, React, NextJS, NodeJS, Tailwind CSS, ExpressJS, Angular WORK EXPERIENCE

University of Cincinnati, Facilities Planning Software & CAD Intern July 2024 - Sept 2024

• Engineered a work order tracking system in the university web portal using JavaScript, React, Tailwind CSS, and Node.js, enabling real-time tracking of work orders.

• Implemented token-based tracking to update work order statuses (Assigned In Progress Completed), reducing manual status updates by 60%.

• Designed a real-time analytics dashboard with Chart.js and Power BI, delivering actionable insights on work order trends, completion rates, and resolution efficiency. Designed and updated facility layouts in AutoCAD, ensuring accuracy and efficiency. Infoesearch AI/ML Engineer Intern Jan 2022- Dec 2022

• Led the development of the "mShield" Hybrid AI model, improving UGC content review efficiency and safety. Also, achieved a 30% increase in content review accuracy, ensuring safer user-generated content on the platform.

• Reduced review processing time by 25%, optimizing workflows for quicker content moderation responses. Built and fine-tuned machine learning models to enhance accuracy.

PROJECTS

MelodyStream: Responsive Music Streamin HTML, CSS, React, AWS July 2024 - Sept 2024

• Developed a high-performance React-based music platform that ensured seamless user experiences, optimizing architecture to reduce page load times by 20%, and boosting overall user engagement.

• Boosted user engagement by 25%, extending average session duration to 12 minutes, which indicated a substantial enhancement in platform usability and overall user satisfaction metrics.

Detection of Fake News using Machine Learning Techniques ML, Python, Deep Learning Jan 2023 - March 2023

• Designed and implemented an ML-based fake news detection system, achieving 98% accuracy using SVM after analyzing and classifying a dataset of 10,000+ news articles.

• Created a real-time news verification interface capable of processing and classifying articles within 2 seconds, demonstrating practical application of ML models.

Sentimental Analysis Based on Classification of Amazon Customer Reviews Python, ML April 2022 - June 2022

• Engineered a sentiment analysis system for 5,000+ Amazon reviews using NLP and ML techniques, achieving 85% AUC and 0.772 F1-Score with TF-IDF feature extraction.

• Developed data visualization dashboards that provided actionable insights, leading to a 25% improvement in product recommendation accuracy. Tech: Pandas, NumPy, Matplotlib, Seaborn, Scikit, NLTK, Jupyter Notebook. CERTIFICATIONS

• AWS Certified Solutions Architect – Associate (SAA-C03), Amazon Web Services.

• Successfully completed training and coursework in Full Stack Cloud Based Data Scientist course from Inceptez Technologies.

• Google Data Analytics Professional Certificate offered by Google on Coursera. (R packages: dplyr, tidyr, ggplot2, data.table and tidyverse)

• Machine Learning Certification from Stanford University.

• A project-based course, ‘Prepare, Clean, Transform, and Load Data using Power BI’ from Coursera Project Network.

• Programming for Everybody and Python Data Structures by University of Michigan from Coursera.

• Programming Foundations with JavaScript, HTML, CSS offered by Duke University on Coursera. EXTRACURICULLARS

• I actively participated in the Adobe UX Design Foundation Learning Journey and a 2-day Machine Learning Bootcamp, culminating in a 24-hour Hackathon (TeckHack 2021) organized by Smart Bridge Educational Services.

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