Data Analyst with 1+ years in Cloud & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Computer Science Engineering graduate with strong analytical and problem-solving skills. Proficient in data analysis, Excel, SQL, and Python, with hands-on experience in processing and interpreting data through academic projects and internships. Adept at transforming raw data into meaningful insights and eager to contribute to business decision-making as a Data Analyst.
Geethanjali Institute of Science & Technology
B.Tech · Computer Science & Engineering (CSE)
August 1, 2022 – June 30, 2025
Narayana Junior College
Intermediate · MPC
June 1, 2019 – May 31, 2021
Ratnam High School
SSC
June 1, 2018 – May 31, 2019
EDUSKILLS – AICTE Collaboration
AWS Cloud Virtual Internship
January 1, 2023 – January 1, 2024
India
EDUSKILLS – AICTE Collaboration
Cybersecurity Virtual Internship
January 1, 2023 – January 1, 2024
India
Attention-Driven Neural Network for Automatic Question Generation
January 1, 2025 – Present
Collected, cleaned, and processed textual datasets for model training and evaluation. Applied data preprocessing techniques including tokenization and feature extraction. Developed an attention-based neural network to generate context-aware questions from text. Analyzed model performance using evaluation metrics and optimized output quality. Demonstrated strong analytical and data-handling skills through real-world problem solving.
Web Development with CSS & JavaScript (Google & DevTown)
Google & DevTown
June 1, 2026 – Present
Web Development with Django
Unknown
June 1, 2026 – Present
AWS Cloud Virtual Internship Certificate
EDUSKILLS – AICTE Collaboration
January 1, 2024 – Present
Zscaler Zero Trust Virtual Internship Certificate
EDUSKILLS – AICTE Collaboration
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic project on neural networks and virtual internships in AWS Cloud and Cybersecurity demonstrate a breadth of interest and a proactive approach to learning diverse technical domains. While the primary focus is on data analysis, the exposure to related fields suggests adaptability and a willingness to explore different technologies, which can be a positive for cultural fit in dynamic environments. The academic background in Computer Science & Engineering further supports a foundational understanding applicable across various technical roles.
Soft Skills & Operational Fit
The candidate lists 'Analytical Thinking', 'Problem Solving', 'Attention to Detail', 'Quick Learner', 'Communication Skills', 'Team Collaboration', and 'Time Management' as key strengths. These align well with the demands of a Data Analyst role, which requires meticulous data handling, collaborative problem-solving, and clear communication of insights. The academic project demonstrates an ability to work through a complex problem from data collection to model evaluation.