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Data Science with less than a year in data analysis, machine learning, and visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Bachelor of Technology student specializing in Computer Science and Engineering (AIML), with hands-on experience in data analysis, machine learning model development, and visualization. Possesses a strong foundation in Python, SQL, and Power BI, with a keen interest in applying AI/ML techniques to solve real-world problems, as demonstrated by impactful academic projects and internships.
KIT College of Engineering, Kolhapur
Bachelor of Technology · Computer Science and Engineering (AIML)
August 1, 2021 – June 30, 2025
Chate College of Science, Kolhapur
Higher Secondary Certificate (HSC)
June 1, 2020 – May 31, 2021
D.P.H. Vadnage
Secondary School Certificate (SSC)
June 1, 2018 – May 31, 2019
CODENERA
Data Science Intern
January 1, 2025 – May 1, 2025
Pune, Maharashtra, India
Cognifyz Technologies
Data Science Intern
August 1, 2024 – September 1, 2024
Kolhapur, Maharashtra, India
Quiz Builder App
June 1, 2025 – Present
An application where user can create or attempt any quiz. Instructors can add questions and answers by which students can attempt the quiz. Implemented a graphical user interface for the App. Technology Used: Python.
Text to Speech Converter App
June 1, 2025 – Present
A software application that converts written text into spoken words. Utilized Java libraries for text-to-speech synthesis. Technology Used: Java, Javascript
Environment Friendly Plastic Garbage Classification Using Convolution Neural Network
January 1, 2024 – December 31, 2024
Using convolutional neural networks (CNNs) to classify plastic types and aid in recycling. Developed a Convolutional Neural Network (CNN) based system for the classification of plastic materials, aiming to distinguish and categorize different types of plastics. Technology Used :Python.
Environment Friendly Plastic Garbage Classification Using Convolution Neural Network
IEEE APCIT
January 1, 2024 – Present
Technex Workshop
IIT Varanasi
January 1, 2023 – Present
Research Methodology
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's projects show a focus on practical applications of technology, including an environment-friendly initiative, which suggests an interest in impactful work. The academic projects and internships align well with a Data Science target role, demonstrating a clear career path. The breadth of skills is somewhat narrow, primarily focused on Python and ML libraries, but the diversity in project types (quiz app, text-to-speech, CNN classification) indicates adaptability and a willingness to explore different domains. The candidate is still in education, so the cultural fit is based on potential and demonstrated interest rather than extensive professional experience.
Soft Skills & Operational Fit
The candidate lists 'Communication, Writing, Self-learning, Presentation' as soft skills. The project descriptions are clear, and the resume is well-structured, indicating good communication and writing. The self-learning aspect is supported by the variety of projects and internships. The operational fit for a Data Science role is reasonable given the academic background and internship experiences, though the experience level is entry-level.