I’m Aakash Baheti, a dedicated Informatics and Data Science student with a strong foundation in technology and a commitment to impactful problem-solving. My diverse experience spans web development, data engineering, and software innovation, all aimed at enhancing efficiency and driving meaningful change across various industries.
0 + Projects Undertaken
Innovative Informatics and Data Science student with hands-on experience in AI, web, and software development. Skilled in leveraging Python, SQL, and modern frameworks to drive efficiency and create impactful solutions. Demonstrated ability in data engineering, project management, and developing user-centric applications.
Costco Wholesale is a multinational retailer, known for its membership-based warehouse clubs offering a wide selection of merchandise at low prices
T-Mobile, a leading telecommunications company that provides wireless voice, messaging, and data services.
ReWorld uses technology to help leading conservation organizations protect biodiversity swiftly and effectively, vital for ecosystem health and human survival.
Bank of America is a major financial institution offering banking, investment, and wealth management services.
The University of Washington is a leading public research university known for its academics and innovation.
Bloomz is a student-teacher-parent application for school and class communication, coordination, and behavior management in one platform.
GPA: 3.9/4.0
GPA: 3.9/4.0
Below are a few of the projects I have worked on.
Created a Python program that uses a webcam to detect and display similarity percentages between live faces and preloaded images, such as celebrities, for applications in cybersecurity and beyond.
Formed and presented "Smart Move," an innovative solution that combines AI and prosthetics to assist individuals with physical disabilities or injuries in reigniting their active and athletic passions.
Designed a SQL database system to manage and analyze user data, specifically listening habits and demographics, to support Spotify analysts and artists in making informed product and marketing decisions.
Created a personal portfolio website using HTML, CSS and JavaScript to display my accomplishments, experiences, interests, and passions all in one location!
I created a Python-based movie recommendation system using machine learning to analyze user preferences and suggest personalized movie recommendations.
Analyzed climate data in R to explore the relationship between atmospheric CO2 levels and global temperatures, compare surface and troposphere temperature trends, and examine name popularity through data visualization!
Below are the details to reach out to me!
Seattle, Washington