Aditi Vakeel

Github: github.com/aditi-v** Email: adwhwq@r.postjobfree.com LinkedIn: aditi-vakeel Mobile: +1-980-***-**** Education

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North Carolina State University Raleigh, NC, USA

Master of Science - Computer Science; GPA: 3.55/4.0 Aug 2022 - May 2024 Courses: Software Engineering, Design and Analysis of Algorithms, Automated Learning and Data Analysis, Object Oriented Development, Data Science, Neural Networks.

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Sreenidhi Institute of Science and Technology Hyderabad, TS, India Bachelor of Technology - Computer Science; GPA-9.02/10 Aug 2018 - Jun 2022 Technical Skills

• Languages: Python, JAVA, C++, JavaScript, SQL, HTML, CSS, Ruby on Rails, PHP,R

• Software & Frameworks: AWS, MongoDB, Firebase, ReactJS, React Native, Salesforce, VMware, JIRA, GIT, Docker, Graphana

• Soft Skills: Leadership,Public Speaking,Time Management,Event Management,Writing Work Experience

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Rubrik Bangalore, KA, India

Customer Success Engineer Intern Feb 2022 - Jun 2022

Supported 100+ customers across the globe by comprehending their organizational requirements and further assisting them with their core technical concerns.

Deployed Rubrik instances on AWS EC2.

Utilized SalesForce to perform Data Analysis on JIRA tickets that reduced development time by 20%.

Implemented an Automated Log Tracer and Debugger using Shell scripts and Python that automatically detects faulty code based on Rubrik logs.

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FoodParrot Hyderabad, TS, India

Web Developer Intern Aug 2020 - Feb 2021

Created web pages and other user interfaces using ReactJS and Bootstrap.

Fixed breaking UI components and made the website more visually appealing that improved the user experience by 30% .

Reduced the lines of code by 40% by migrating existing web components to React based components.

Designed an android version of the website using React Native. Projects

• Book Shopping System: Developed an application for online book shopping using Ruby on Rails and MySQL. Implemented features like cart functionality while handling race conditions, form-prefilling, etc. Configured DB seeds to perform automated DB operations. The app is Dockerized and deployed on AWS EC2. (Feb ’23)

• XpenseAuditor (in top 5 class projects): Java and Android App to track and share expenses among multiple users with several features like real-time SMS and email alerts, interactive charts of expenses, etc. The data is stored in Firebase; the app scrapes and compares prices of products across e-commerce websites like Walmart and Amazon for best recommendations. A Telegram chatbot with a Python backend was also alternatively developed with the same functions as the app with MongoDB storage. (Aug ’22- Dec ’22)

• NLP Twitter Sentiment Analysis: Created a pipeline for punctuation, removed stop-words, and tokenized the text to predict the sentiment from the thousands of Twitter Tweets.Understood the theory and intuition behind Naive Bayes classifiers, trained a Naive Bayes Classifier, and assessed its performance.(Sept ’20)

• Parkinson’s Disease Prediction: Constructed an ML model to detect the patients affected with Parkinson based on disruption in speech signals, an initial stage of the disorder.(May ’20) Publications & Achievements

• Research Paper: Machine Learning Models for Predicting and Clustering Customer Churn Based on Boosting Al- gorithms and Gaussian Mixture Model: Published by IEEE in 2022 International Conference of Advancement in Technol- ogy(ICONAT)

• TS-EPASS Scholarship(India): Received a merit-based, four-year full undergraduate scholarship from the state government.

(Aug 2018 - Jun 2022)

Volunteer Experiences

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Documentation and Webinar Lead & Founding Board Member- CodeChef SNIST-H Organized events,interacted with industrial experts, conducted workshops and delivered webinars reaching over 500 students.

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Bachpan Prayas Club member

Donated food and supplements during the pandemic for more than 2000 people.Organized 50+ health camps.

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