Name: Aakash Baheti

Previous Role: T-Mobile Data Engineering Intern

Major: Informatics & Data Science

Address: Seattle, WA


LANGUAGES

SQL 95%
PYTHON 95%
JAVA 95%
PHP 95%
HTML & CSS 90%
JAVASCRIPT & TYPESCRIPT 85%
GraphQL 85%
C# 75%

About

About Me

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.

  • Profile: Data Science, Software, Project Management, and AI/ML
  • Education: University of Washington, Bachelor of Science
  • Graduation: June 2027
  • Certifications: Generative AI Fundamentals (Issuer: Databricks), Databricks Fundamentals Accreditation (Issuer: Databricks)
  • Languages: English, Hindi, Spanish
  • BI Tools: MS Office, Jira, Confluence, SharePoint, Adobe Studio, Azure DevOps, SAP
  • Technologies: Git, Flask, Flutter, Databases, API's, Linux, Tableau, React, VBA
  • Interest: Sports, Concerts, Traveling, Movies & Shows

0 +   Projects Undertaken

Linkedin

Resume

Resume

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.

Experience


Jan 2025 - Apr 2025

Software and SAP Security Intern

Costco Wholesale

Costco Wholesale is a multinational retailer, known for its membership-based warehouse clubs offering a wide selection of merchandise at low prices

  • Managed SAP user authorizations, employee access, and security credentials using transaction codes, ensuring compliance with enterprise policies and streamlining system access controls
  • Developed an automated password generator using Java and Excel VBA that enforced strict character requirements and implemented scheduled resets, enhancing user account security
June 2024 - Sept 2024

Data Engineering Intern

T-Mobile

T-Mobile, a leading telecommunications company that provides wireless voice, messaging, and data services.

  • Developed a web app to streamline new hire onboarding with SQLite, Python, Flask, HTML, and CSS, boosting efficiency and productivity
  • Created a script to upload documents to Confluence, consolidating Data and AI Teams' information for improved critical data access
  • Generated automated tests using mock objects and data-driven unit testing for robust application validation

June 2023 - Aug 2023

Software Engineering Intern

ReWorld

ReWorld uses technology to help leading conservation organizations protect biodiversity swiftly and effectively, vital for ecosystem health and human survival.

  • Collaborated with the Web Development team to create a donation feature allowing individuals to contribute to the preservation of land in Santa Helena, using HyGraph, GraphQL, and TypeScript, resulting in a 18% donation increase
  • Improved website accessibility through responsive design updates and clearer navigation, while integrating sustainability-focused content to promote environmental awareness and support green initiatives

June 2022 - Aug 2022

Student Leader

Bank of America

Bank of America is a major financial institution offering banking, investment, and wealth management services.

  • Selected as one of 300 nationwide to participate in a program focused on developing a diverse pipeline of talent, enhancing community and workforce readiness through leadership development and hands-on industry experience
  • Developed a Dart & Flutter web app with NGO Southwest Youth & Family Services, aiming to empower underprivileged students through a STEM pathway in hopes of deterring juvenile behaviors by providing them STEM resources, interactive lessons, and programmed activities

June 2022 - Aug 2022

Data Science Researcher

University of Washington

The University of Washington is a leading public research university known for its academics and innovation.

  • Collaborated with Professor Brent Lagesse on the CAPP Research Project, emphasizing the development of a data incentive security system for identifying and mitigating false data, improving fraud detection accuracy by 30%
  • Applied Python, statistical analysis, and data collection techniques to ascertain the veracity of test subjects’ claimed environments by cross-referencing MAC addresses, helping enhance measures against potential security breaches

June 2021 - Aug 2021

Software Engineering Intern

Bloomz

Bloomz is a student-teacher-parent application for school and class communication, coordination, and behavior management in one platform.

  • Conducted in-depth data analysis of client feedback of student-teacher-parent school application and presented findings to the CEO and the team, facilitating data-driven decision-making and SWOT analysis
  • Addressed backend bugs based on customer feedback from previous semester using Java, ensuring a smoother user experience for the upcoming mobile version update


Education


2023-2027

BS in Informatics and Data Science

University of Washington

GPA: 3.9/4.0

2019-2023

High School

Skyline High School

GPA: 3.9/4.0

Projects

Projects

Below are a few of the projects I have worked on.

Face Recognition Software

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.

T-Mobile Changemakers Challenge (Top-5 Nationwide)

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.

Spotify Database System

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.


Personal Portfolio Website

Created a personal portfolio website using HTML, CSS and JavaScript to display my accomplishments, experiences, interests, and passions all in one location!

Movie Recommendation System

I created a Python-based movie recommendation system using machine learning to analyze user preferences and suggest personalized movie recommendations.

Merge and Reshape Data Visualization

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!

0 Technical Courses
0 Projects
0 Workshops Attended
0 Cups of coffee

More projects on Github to come

I love to solve business and technical problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Seattle, Washington

Contact Number

425-442-0591

Email Address

aakasb@uw.edu

Download Resume

My Resume



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