Computer Science student at UMass Amherst

MITALI JUVEKAR

*** ******* **, *** ***, Sunderland 01375 ad5yg1@r.postjobfree.com +1-413-***-****

https://github.com/Mitali-Juvekar https://www.linkedin.com/in/mitali-juvekar-6520861b2/ EDUCATION

University of Massachusetts, Amherst, MA, USA September 2023 - May 2025 Masters of Science in Computer Science (CGPA 3.67/4.0) Information retrieval, Game Programming, Theory and Practice of Software Engineering, Advanced Natural Language Processing, Machine Learning, Business Intelligence & Analytics Thadomal Shahani Engineering College, Mumbai, India August 2019 - June 2023 Bachelor of Engineering in Computer Engineering (CGPA 9.24/10) Machine Learning & NLP, Data Structures and Algorithms, Advanced Database Management Systems, Artificial Intelligence, Big Data Analysis, Distributed Computing, Operating Systems, Cloud Computing (AWS), Statistics SKILLS SUMMARY

● Programming languages: C++, Python, Java, HTML, CSS, JavaScript, Linux, C#

● Frameworks and Web Technologies: Kafka, Spring, Springboot, Django, Flask, PHP, jQuery, React

● Databases and Tools: MongoDB, SQL, Tableau

● Machine Learning and DS Technologies: pandas, NumPy, matplotlib, PyTorch, TensorFlow, Spark

● Soft Skills: Problem-solving, Analytical thinking, Adaptability, Communication, Autonomy, Troubleshooting PROFESSIONAL EXPERIENCE

Summer Intern - Hindustan Petroleum Corporation Ltd., INDIA May 2023 – July 2023

● Created a detailed 3D prototype in Blender and Unity to represent a rare 'on-ground' gas pump, 71P20.

● Animated the 3D model to demonstrate the gas pump's standard operating procedure (SOP), showcasing actions such as locking and unlocking the springs, illustrating the spring support response, and simulating the shutdown process.

● Acquired hands-on experience with SAP ERP software, focusing on deployment and maintenance. Developed user-friendly interfaces and backend systems using MySql, jQuery, Workbench, and JSP, with a keen focus on enhancing user experience.

Data Science Intern – Skill Safari, INDIA June 2021 – July 2021

● Received in-depth training in data analysis. Finished a project that consisted of creating easy-to-understand data visualization reports on the company’s placement module reach.

● Studied the different techniques for collecting, cleaning, and formatting data that would be forwarded to the Machine Learning Engineers for training models. Utilized Agile methodologies for project management. ACADEMIC PROJECTS

EQUIHIRE

● Developed EquiHire during a hackathon, a blind recruitment system promoting diversity and equality in tech. Utilized Spacy for resume sanitization, Speech Recognition library for text conversion, and Sentence BERT for similarity scoring. Implemented Flask for the backend, and HTML/CSS for front-end, enabling fair and unbiased candidate evaluations. Created comprehensive documentation outlining the system's architecture and functionality.

AI-Based Yoga Pose Recommender

● Created an AI-driven Yoga Pose Recommender using NLP, and ML techniques and provided the source code for review. Employed word2vec for embeddings and neural networks to correlate benefit words with 326 yoga asanas. Designed a user-friendly interface for inputting preferences and showcasing the top seven recommendations.

Twitter Sentiment Analysis using LSTM and NLP

● Performed data-driven Twitter Sentiment Analysis using LSTM and NLP, including deep learning. Conducted data cleaning, EDA, and feature extraction with Python and NLTK. Trained and tested the model using Keras, then integrated it with the Twitter API for real-time tweet fetching and sentiment classification (positive, neutral, negative). Implemented the application using Streamlit framework and deployed it on Heroku. Internship Platform for Students and Recruiters

● Developed an internship platform enabling students to create accounts, apply to internships, manage passwords, resumes, and account deletion. Employed HTML, CSS, jQuery, and Bootstrap for the front-end, and PHP and MySQL for the back-end. Implemented recruiter functionalities allowing them to create company accounts and view lists of students who applied for their openings. EXTRACURRICULAR ACTIVITIES

● Recognized for winning the Best AI Hack at HACK(HER) hackathon, showcasing innovative problem-solving, AI implementation skills, and a capacity for innovation.

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