Akanksha Jain

+1-614-***-**** adv074@r.postjobfree.com LinkedIn: https://www.linkedin.com/in/jainakanksha01/ Highly motivated and detail-oriented graduate student in computer science with a passion for software development and data science. Currently seeking an internship opportunity for Summer 2023 to gain valuable hands-on experience and contribute to cutting-edge projects in the industry. EDUCATION

Master of Computer Science and Engineering 2022 – 2024 The Ohio State University, Columbus, OH, US GPA: 3.4/ 4.0 Bachelor of Computer Engineering 2019 - 2022

University of Mumbai, India GPA: 3.9/ 4.0

Diploma in Computer Engineering 2016 - 2019

Thakur Polytechnic, India GPA: 3.6/ 4.0

SKILLS AND CERTIFICATIONS

Skills: Python Jupyter notebook Google Colab Git Software development Machine Learning Algorithms Networking JavaScript HTML SQL PHP CSS C programming Android Studio Data analytics Tableau Relevant courses: Advanced Operating Systems Software Engineering Machine Learning Algorithms Data Mining Data Visualization Data Mining and Ware Housing Data Structures Natural Language Processing Artificial Intelligence Service-Oriented Architectures Microprocessor and Interfaces Professional certifications: Python specialization course Machine learning for all Data Analytics PROFESSIONAL INTERNSHIPS

Frontend and Backend Development Intern - CodeDev, India May 2018 – Jul 2018

• Collaborated with a team of developers to understand client requirements and develop solutions accordingly

• Contributed to the development of reliable, secure, and user-friendly APIs for the website

• Gained experience in front and back-end development, as well as working in an Agile development environment Software engineering Intern - DumpsDrive T&I, India Mar 2018 – May 2018

• Developed interactive applications using android studio, gaining experience in mobile application development

• Participated in testing and quality assurance to ensure software functionality and eliminate glitches, demonstrating attention to detail and commitment to quality RELEVANT ACADEMIC PROJECTS

Heart Disease Prediction System:

• Developed a machine learning model to predict heart disease using the Cleveland heart dataset

• Successfully achieved an R squared value of 83% on the dataset Diabetes Prediction System:

• Created a non-invasive diabetes prediction system using physical and genetic features

• Achieved an accuracy of 86% with Random Forest and Logistic Regression algorithms Coloring and Styling Images:

• Developed a deep learning algorithm to convert grayscale images into colorized images

• Applied style transfer with Generative Adversarial Networks (GANs) Movie Recommendation System:

• Developed a model to predict user behavior and recommend movies

• Improved performance with decision trees, k-nearest neighbors, and collaborative filtering House Price Prediction System:

• Developed a machine learning model to predict house prices using multiple linear regression

• Achieved an R squared value of 92% on provided dataset Inventory Management System:

• Created a web and mobile system to manage inventory in small retail shops

• Built with HTML, PHP, CSS, and JavaScript

• Published a paper on “Inventory Management System” in International Research Journal of Engineering and Technology (IRJET) (https://www.irjet.net/archives/V6/i1/IRJET-V6I1314.pdf)