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Data Science with less than a year in Machine Learning & 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
Data Science and Artificial Intelligence undergraduate with hands-on experience in Python, Machine Learning, and Data Analysis. Skilled in building AI-based applications and data-driven solutions through internships and academic projects. Strong understanding of problem-solving, data visualization, and predictive modeling concepts.
ICFAI Tech
Bachelor of Technology · Data Science & Artificial Intelligence
August 1, 2022 – June 30, 2026
Sainik School Kalkiri
Schooling
June 1, 2015 – May 31, 2022
Skill Dzire Technologies Pvt. Ltd.
Data Science Intern
June 1, 2024 – July 31, 2024
India
Sign Language Recognition System
June 1, 2026 – Present
Developed a real-time sign language recognition system using Python, MediaPipe, CNN, and LSTM. Implemented gesture detection through webcam input and converted gestures into text and speech output. Designed the solution to improve communication accessibility for the deaf and mute community. Applied deep learning concepts for gesture classification and sequence prediction.
Google Data Analytics
NASSCOM
June 1, 2026 – Present
Exploratory Data Analysis
NASSCOM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate is an undergraduate with limited professional experience, primarily academic projects and a short internship. The 'Sign Language Recognition System' project demonstrates an interest in socially impactful applications, which could align with a culture valuing purpose-driven work. However, the overall breadth of experience and project diversity is limited, making a deep assessment of cultural fit challenging. The target role is Data Science, which aligns with the candidate's education and stated interests.
Soft Skills & Operational Fit
The candidate's resume highlights 'continuous learning and self-improvement' and 'sports for relaxation and focus' as hobbies, suggesting a growth mindset and ability to manage stress. However, without psychometric test results or interview data, a comprehensive assessment of operational fit, logical reasoning, work attitude, and team collaboration is not possible.