Rutuja Jangle

ad320a@r.postjobfree.com linkedin.com/in/rutujajangle github.com/rutujajangle +1-408-***-**** Education

Indiana University Bloomington Aug 2023 – May 2025 Masters in Data Science (Pursuing)

International Institute of Information Technology, Pune Aug 2019 – May 2023 Bachelor of Engineering in Computer Engineering GPA: 9.37 Work Experience

Grade Up Assignment (Yofoxy) Sep 2022 — Dec2022

Intern (Role: Subject Matter Expert)

● Developed Technical file solutions, technical content report writing, design building, providing calculations and application management.

● Used C++, Python and Machine Learning for solving the problems. SWANIGA TECH Jan 2022 — Jun 2022

Intern (Role: UI/UX designer and Flutter Developer)

● Worked on a project titled “Swa- A women Centric Mobile App” which was a Flutter and Dart-based mobile app that intended to provide women's health facilities such as a period tracker, fertility tracker, doctor consultation, and article feed.

● Designed the User Interface of our app using Figma Platform, Django for the backend purpose and API keys were created for linking the frontend to the backend.

Technical Skills

Programming Languages: Python, C/C++ (Data Structures, Algorithms), JavaScript Tools and Frameworks: React JS, MySQL, SQL, HTML/CSS, PHP, NumPy, Scikit-Learn, Pandas, Deep Learning frameworks (Tensorflow, Keras), Data Visualization tools (Matplotlib, Seaborn), UX/UI Design (Figma, Canvas)

Publications and Certifications

● A Survey on Detection of Ophthalmic Diseases using Applied Deep Learning Techniques doi: 10.48047/ecb/2023.12.10.074

● Enhancing Retinal Scan Classification: A Comparative Study of Transfer Learning and Ensemble Techniques https://ijritcc.org/index.php/ijritcc/article/view/7031

● GoogleCloudReady facilitator program

Google public profile ID: https://www.qwiklabs.com/public_profiles/d73b1ae1-b030-434e-972d- 7c3d4d4ce8e2

● Node-RED: basics to bots

IBM badge link: https://www.credly.com/go/zUKdjSkt Academic Projects

Multi Disease Detection using Retinal Fundus Scans Jul 2022 — Jun 2023

Tech-stack: Python; React Js; Tensorflow; Keras; Pytorch; ResNetV2, InceptionNetV2, MobileNetV2, XceptionNet, DenseNet and EfficientNetB7.

Implemented a Deep Learning based project segmented into two parts- Disease Classification and Nerve Segmentation, employing three distinct approaches for model development—Transfer Learning, Ensemble Learning, and Training from scratch.

Deployed Deep Learning algorithms like Convolutional Neural Networks (CNN), Backpropagation, Generative Adversarial Networks (GANs) and Autoencoders along with React Js for the website used as an interaction platform. Chatbot for Student Details Apr 2022 — Jun 2022

Created a Flask-powered Chatbot and seamlessly integrated it with a Plotly-based dashboard.

Leveraged impactful data visualization tools like bar graphs and pie charts to drive actionable insights and improve decision- making processes for the team.

Trained the chatbot using Machine Learning models for Natural Language Processing (NLP) to perform Data Analysis on student information and retrieve specific details based on their seat number. Online Grocery store Jun 2021 — Dec 2021

Tech-stack: HTML; CSS; JS; PHP and MySQL database.

Developed and implemented an e-commerce platform enabling seamless online grocery ordering from multiple stores.

Expected outcome should result in a 40% increase in customer satisfaction and a 25% boost in monthly sales revenue.

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