Pantech e Learning
Intern
A company providing virtual internships in technology-focused programs
Skills
Interests
Projects
Detecting Fraud Using Sentimental Analysis
Education
Summary
Experience
Languages
Key Achievements
Aspiring Computer Science Engineer
HINDUMATHI R
Reading and Music
Reading and listening to music for relaxation and enjoyment Python Code Optimization
Improved application performance by
20% through optimized Python code.
Virtual Internship Success
Achieved 95% completion rate in virtual
internships during two years.
Tamil English
Enhanced User Engagement
Incresed user engagement by 30% on
web platform
Efficient Fraud Detection
Reduced response time by 15% using
sentiment analysis in fraud detection.
Coimbatore, India
09/2021 - 05/2025
Salem, India
06/2020 - 05/2021
Salem, India
06/2018 - 05/2019
Remote 09/2024 - 04/2025
C/C++
IoT Microsoft Power BI Sentiment analysis
Proficient
An application project focused on detecting fraud through the analysis of user reviews
•Developed an application to detect fraud using sentiment analysis
•Utilized sentiment analysis data to identify potential scams based on user reviews
•Undergone a virtual internship in 'Python Programming' by Pantech e Learning (2022)
•Undergone a virtual internship in 'web development Full Stack' by Pantech e Learning (2023) Python Basics SQL Basics
*************@*****.*** https://www.linkedin.com/in/hindumathi-r-95809226a/ Deevattipatti, Kadayampatti, Salem-636351, India
I am an aspiring computer science professional with a strong foundation in programming and application development. I have undergone internships focusing on Python and web development, gaining practical experience. My technical skills include programming in C and Python, along with a basic understanding of Excel. I am passionate about learning new technologies and contributing to innovative projects Karpagam Academy of Higher Education
B.E – Computer Science and Design
CGPA - 8.7*
Ganga Kaveri Matric Higher Secondary School
HSC - 79.04 %
Ganga Kaveri Matric Higher Secondary School
SSLC - 74.2 %
Native