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Data Analyst with less than a year in data visualization and cloud computing.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a Programming Enthusiastic, Problem Solver, Fast Learner, Creative. I have gained hands-on experience in end-to-end data analysis, developing strong skills in data cleaning, querying, transformation, and visualization to derive meaningful business insights. Additionally, I have completed training in AWS Cloud Computing, focusing on EC2 instance deployment, security, networking, and storage configuration. My projects demonstrate proficiency in deep learning models for image-based plant disease detection and IoT solutions for safety.
Vignan's Institute of Engineering for Women
B.Tech · Electronics and Communication Engineering
August 1, 2022 – Present
Sri Chaitanya Junior College
Intermediate · MPC
June 1, 2020 – May 31, 2022
Sri Ramanujan EM High School
Matriculation · SSC
June 1, 2019 – May 31, 2020
Millennium Software Solutions
Data Analyst Intern
November 1, 2025 – March 1, 2026
Visakhapatnam, Andhra Pradesh, India
ExcelR
AWS Cloud Computing Internship
May 1, 2024 – July 1, 2024
Visakhapatnam, Andhra Pradesh, India
Image-Based Plant Disease Detection Using Deep Learning Models
January 1, 2024 – June 1, 2026
Developed a web-based system for detecting plant diseases from leaf images using deep learning (CNN) and image processing techniques. Built a MATLAB-based model to automatically classify 38 disease classes and integrated it with a Streamlit web application for real-time image upload and accurate disease prediction. Implemented image segmentation to identify infected regions and calculate severity percentage based on infected and the total leaf area. The system also provides treatment recommendations and supports real-time monitoring using ThingSpeak, enabling early disease detection and reducing crop losses in agriculture.
GPS Tracking IoT Button for Women Safety
January 1, 2024 – June 1, 2026
Designed a cost-effective safety device that sends real-time location alerts via email when activated by a push button. Integrated GPS tracking with IoT using Arduino Uno and ESP8266 to enable location-based emergency communication. Programmed device functions and data transmission using Arduino IDE and Blynk platform. Aimed at providing rapid, technology-driven assistance for women's safety in emergencies.
Introduction to Python
Udemy
June 1, 2026 – Present
SQL for Data Analysis
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse range of interests, from agricultural technology to women's safety, indicating a broad perspective and a desire to apply technical skills to solve real-world problems. The target role of 'Data Analyst' aligns well with the recent internship experience and certifications. The breadth of skills (Python, SQL, Tableau, AWS, Deep Learning) suggests adaptability and a willingness to learn new technologies, which is positive for cultural fit in a dynamic environment. The candidate's education in Electronics and Communication Engineering, combined with data analysis internships and projects, shows an interdisciplinary approach.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving, creativity, and a fast-learning attitude. The 'Image-Based Plant Disease Detection' project, where the candidate acted as a 'Team Leader', suggests leadership potential and ability to manage complex technical projects. The 'GPS Tracking IoT Button' project indicates an interest in practical applications and real-world impact. The AWS internship also mentions improved technical communication and teamwork, which are crucial for operational fit. However, without specific behavioral assessment data, these are inferred from project roles and descriptions.