Aditya Anavekar

UX Designer

2024 - Current

• Contributed to the design and development of a transcript analysis web tool for qualitative researchers. Redesigned workflows to reduce cognitive load, with 80% of usability study participants reporting improved efficiency. • Developed interactive data visualizations using D3.js, increasing data interpretability, with 70% of researchers reporting improved insight extraction in focus group feedback. • Integrated AI-driven features (NLP & LLMs) to analyze transcript data, delivering automated insights and key themes that streamline qualitative research.

Research Assistant

2023 - 2024

• Developed two dynamic scrolly-telling prototypes that leveraged interactive visualizations to transform complex data into clear, engaging stories. • Applied JavaScript, D3.js, and version control tools like GitHub to deliver interactive prototypes that effectively communicated research insights. • Executed thematic and statistical qualitative research for 25 participants, contributing to a paper submitted to CHI’25, reflecting high standards of user experience design and research.

Graduate Teaching Assistant

2024 - 2024

Teaching assistant for HCIN 600 - Research Methods.

Research Intern

2022 - 2023

• Participated in a one-month student exchange program, working under the guidance of NUS professors on machine learning projects. • Collaborated on a project focused on predicting water salinity levels using machine learning models, applying tools like Python and libraries such as TensorFlow and scikit-learn. • Successfully presented the project outcomes to professors and peers, demonstrating analytical problem-solving, presentation skills, and the ability to translate technical results into actionable insights. • Gained exposure to advanced research methodologies and strengthened my ability to work within a collaborative academic environment.

Academic Intern

2022 - 2023

• Participated in an academic internship as part of a student exchange program, focusing on Deep Learning concepts and industry-relevant tools. • Gained hands-on experience with frameworks like Apache Spark for large-scale data processing and Deep Learning models for data analytics. • Worked on practical applications of machine learning algorithms, exploring their use in solving real-world data challenges under the mentorship of faculty and industry professionals. • Collaborated with peers on exercises and projects that reinforced concepts in neural networks, big data tools, and model deployment. • Developed a strong foundation in scalable computing and deep learning workflows, enhancing both my technical and analytical skills.

Graphic Design Lead

2022 - 2022

UI/UX Designer

2022 - 2022

• Designed user-centric web pages using Figma and Illustrator, enhancing visual appeal and usability, leading to a 10% increase in NPS based on user feedback. • Refined UX strategies based on stakeholder input, enhancing navigation by improving layout and interaction flow. • Led usability testing with 10+ users to identify pain points, synthesizing insights into 3 key UX refinements, improving usability scores by 15%.

Digital Marketing Intern

2021 - 2021

• Led the development and design of compelling company content, ensuring a cohesive brand identity across all digital channels. • Designed over 100 visually impactful assets, including posters, certificates, and letterheads, showcasing strong attention to detail and creativity. • Partnered closely with the design head to create eye-catching social media graphics, leading to: Doubling social media followers within four months. • Used tools like Photoshop, Illustrator, and Premiere Pro to produce content that resonated with target audiences and aligned with brand messaging.