Full Stack Engineer with 3+ years in Java & Data Science
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A highly motivated B.Tech student specializing in Information Technology, Aishwarya Sudhakar possesses practical experience in full-stack web development, Java programming, and data science. With a strong academic background and participation in various internships and projects, she has developed skills in building responsive websites, game development, and data analysis, demonstrating a proactive approach to learning and problem-solving.
BHARATHIDASAN ENGINEERING COLLEGE
B.TECH - INFORMATION TECHNOLOGY · Information Technology
August 1, 2021 – June 30, 2025
SRI VIDYA VIHAR MATRIC HR SEC
HSC
N/A – May 31, 2019
SRI VIDYA VIHAR MATRIC HR SEC
SSLC
N/A – May 31, 2017
ZIDIO DEVELOPMENT
FULL STACK WEB DEVELOPER INTERN
July 1, 2024 – October 1, 2024
Bengaluru, Karnataka, India
CODSOFT
JAVA INTERN
January 1, 2024 – February 1, 2024
India
EDUPREP
PYTHON COURSE
May 1, 2023 – July 1, 2023
India
TEACHNOOK
DATA SCIENCE INTERN
December 1, 2022 – January 1, 2023
India
BEC STUDENT INFORMATION SYSTEM SITE
June 23, 2026 – Present
A Website for students studying in BEC college for their Subject-wise grades. Developed using HTML, CSS and JS for the development of the Front-End. Used Php and SQL for storing the Database with 100 percent accuracy.
AI CHATBOT USING PYTHON
June 23, 2026 – Present
Developed an AI chatbot using Python. By using the installed 5+ libraries we create a basic command. Capable of replying messages and talking like an own AI chatbot.
Cultural Fit Analysis
The candidate demonstrates a broad interest in various technical areas, including full-stack development, data science, and AI, which aligns with a dynamic and learning-oriented culture. The academic projects and internships, while foundational, show initiative and a desire to gain practical experience. The involvement in coding platforms (Leetcode, Hackerrank) suggests a drive for continuous improvement and problem-solving, which is a positive cultural indicator. However, the experience is primarily academic and internship-based, so the depth of experience in collaborative, fast-paced professional environments is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest an ability to learn new technologies quickly and apply them to practical problems. Participation in academic projects and coding challenges indicates a proactive and problem-solving attitude. The diverse range of internships, from full-stack development to data science, suggests adaptability and a willingness to explore different technical domains. However, the descriptions are brief, making it difficult to assess deeper operational fit or specific soft skills like teamwork or leadership beyond basic collaboration.