AISHWA AMIN
Data enthusiast with a love for learning, telling stories with data, and solving puzzles.
Passionate and driven recent graduate from ASU with a Bachelor's degree in Data Science with a concentration in Computer Science. Possessing hands-on experience and a strong foundation in data analysis, visualization, and machine learning. Proficient in tools and languages such as Python, R, SQL, Java, C/C++, Tableau, and MS Excel.
Skills & Expertise
- Python & R
- SQL
- C/C++
- Tableau
- Java
- JavaScript
- HTML/CSS
- MATLAB
- MS Excel
- Blender
- Unity
- Machine Learning
- Statistical Analysis
- Data Visualization
- Predictive Analysis
- A/B Testing
- Exploratory Data Analysis
- Critical Thinking
- Problem Solving
- Communication
- Collaboration
- Public Speaking
About me
Aishwa Amin has a passion for uncovering insights and solving complex problems through data analysis. With hands-on experience from internships and projects, Aishwa excels in utilizing data to drive impactful results.
Throughout her academic and professional journey, Aishwa has demonstrated the ability to analyze intricate datasets, create compelling visualizations, and develop data-driven strategies that support decision-making. Skilled in identifying trends, drawing meaningful conclusions, and translating data into actionable insights, Aishwa’s dedication to continuous learning and improvement is evident in her pursuit of new challenges and commitment to professional growth.
Aishwa is a collaborative team player who thrives in dynamic environments. She has a natural ability to work cross-functionally, ensuring that data initiatives align with broader business goals. Aishwa is eager to contribute to impactful projects and work with dynamic teams to create innovative solutions that make a difference.
Experience
AI/ML Productionalization Analyst
Data Science Intern
• Conducted comprehensive analysis and cleaning of biochemical datasets containing nearly 30,000 plant properties using MS Excel, RStudio, and SQLite.
• Created dynamic visualizations using Tableau and Python's Plotly, enhancing the research team's ability to visualize complex biochemical relationships.
• Collaborated with a cross-disciplinary team to interpret analytical results, providing key insights that supported the ongoing research into orphaned drugs.
Data Analytics and Visualization Lab Intern
• Played a pivotal role in the CoRA (Commingled Remains Analysis) project to help identify fallen WWII soldiers from over 5,000 DNA samples.
• Converted PNG images of bones to SVG and recreated gravesite maps using Adobe Illustrator, significantly improving visual accuracy and detail for examination.
• Engineered interactive display features, implementing hover-enabled informational overlays that enhanced user engagement and educational value.
Holograms and Human-Computer Interactions Lab Intern
• Developed holograms and virtual reality experiences using Unity and Blender, significantly enhancing educational and promotional programs.
• Experimented with the integration of AI with facial recognition technology in mixed reality environments, utilizing HoloLens® and Oculus® VR.
• Designed and launched a virtual reality museum featuring 3D models of fossils, complete with interactive, hover-triggered historical annotations.
Graphic Designer
• Led the creation and optimization of visual content, including images and graphics, which increased content engagement rates by over 40%.
• Authored and edited blog posts focusing on design trends and best practices, consistently ranking in the top 10% of most-read articles on the site.
• Managed social media channels by crafting and scheduling posts that increased follower interaction rates and social media referrals to the website.
Website Developer
• Co-designed and developed the LogoMaven.com website using WordPress, resulting in a 40% increase in user engagement and a 25% boost in traffic.
• Enhanced site functionality and user experience by implementing responsive design techniques, achieving a 15% improvement in website performance.
• Conducted comprehensive SEO audits and adjustments, and utilized Python and SQL to analyze web traffic and user engagement data.
