• Developed 8 automation bots using Automation Anywhere during training reducing manual effort by 70%
• Currently working on a real-time project to create a bot that extracts resumes from the ICIMS platform
• Gained practical experience in RPA and its applications, improving departmental performance by 15%
• Conducted testing and debugging to ensure seamless integration, decreasing error rates by 20%

• Developing Gen AI tool to automate proposal preparation for service companies, cutting down time by 50%
• Creating an internal reference pool of past business developments encompassing over 200 documents
• Designing an AI-driven proposal generator to customize business collateral, to improve accuracy by 40%
• Training AI to produce drafts of proposals based on predefined templates, reducing initial draft time by 60%

• Formulated an algorithm achieving 98.5% accuracy in assessing heart rate, oxygen level, pulse rate, and blood pressure from user data and factors such as age, weight, height, and fitness level
• Constructed an algorithm to detect falls with a success rate of 95% based on motion patterns and acceleration data, triggering alerts to emergency contacts or healthcare professionals
• Crafted real-time algorithm execution, providing users with health monitoring within 2 seconds
• Prepared documentation for 5 algorithm specs, 10 technical diagrams, and 5 user guides, facilitating knowledge sharing among 20+ team members

• Fabricated an efficient data pipeline to extract Facebook ads data and efficiently transfer over 10,000 data points per day into Google Sheets
• Employed Facebook Graph API to retrieve key metrics, for example, 1M+ impressions, 150K+ reach, 10K+ engagements, 500 conversions in 3 months
• Conducted comprehensive data analysis of over 50,000 data points, translating complex metrics into actionable insights, and presenting findings to stakeholders for strategic decision-making

• GPA: 3.67/4
• Courses: Introduction to Machine Learning, Computer Security, Deep Learning, Operating Systems, Data Intensive Computing, Analysis and Design of Algorithms

• GPA: 9.14/10
• Relevant Courses Taken: Artificial Intelligence, Blockchain and Cryptocurrency Technologies, Computer Architecture and Organization, Cyber Security, Data Structures and Algorithms, Database Management Systems, Digital Logic and Design, Discrete Mathematics and Graph Theory, Human Computer Interaction, Internet and Web Programming, Internet of Things, Java Programming, Network and Communication, Operating Systems, Parallel and Distributed Computing, Software Engineering, Theory of Computation and Compiler Design

• Led cross-functional teams in the planning and execution of over 20 career-focused events and workshops
• Employed strategic project management techniques to coordinate logistics, allocate resources efficiently, and ensure events were delivered on time and within budget
• Facilitating career education experiences employing design thinking strategies to assist more than 10000 students in career planning

• Led a team of 15 in creating and managing content for the SME chapter's publications
• Collaborated with 35+ SME chapter members to identify relevant topics and develop engaging content

• Authored over 100 engaging and compelling website content, including landing pages, product descriptions, blog posts, and about us pages
• Completed 20+ freelance content writing projects, generating Rs 10,000 in additional revenue streams and contributing to a 15% increase in company's financial growth

• Developed engaging 6 python coding modules to introduce and educate children about coding
• Redesigned NGO's website, focusing on enhancing user experience and modernizing it's frontend, leading to a 30% increase in user engagement

Yukti Kholiwal won the Career Design Center Unpaid Internship Award from the University at Buffalo in June 2024. She received a $3,500 grant for successfully completing an unpaid internship with a nonprofit organization during the summer. This award recognized her dedication and commitment to gaining practical experience and contributing to the community, despite the internship being unpaid.

• Project Mentor: Professor Teng Wu
• Project Name: Hurricane Resilient City
• Developed an augmented reality framework to visualize urban resilience against hurricanes, using Markov decision processes and deep reinforcement learning algorithm
• Collaborated on a team project to integrate AI algorithms with AR technology, enhancing real-time decision making for urban planning under extreme weather conditions
• Conducted data analysis and modeling to simulate hurricane impacts, contributing to the development of effective urban resilience strategies

Yukti Kholiwal has published A Comprehensive survey on Sign language Recognition and Detection in the Journal of Data Acquisition and Processing as part of her Capstone Project for the final year of her Undergraduate Degree associated with Vellore Institute of Technology. In this project, she conducted an extensive survey on Sign Language Recognition (SLR) systems, reviewing over 30 research papers from year 2021 - 2023. She analyzed performance of 15+ existing Machine Learning technologies in sign language recognition tasks. For this project, she utilized advanced machine learning algorithms and computer vision techniques, including TensorFlow, OpenCV etc.