Data Science with 1+ years in Data Annotation & Web Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic and detail-oriented Information Technology graduate in 2025 with strong foundations. Passionate about learning new technologies and eager to contribute to a dynamic tech environment with a problem-solving mindset and building efficient tech solutions.
Gujarat Technological University
Bachelor of Engineering · Information Technology
August 1, 2021 – June 30, 2025
Telus Digital
Data annotation analyst
September 1, 2025 – Present
India
Augmented System
Project intern
January 1, 2025 – April 1, 2025
India
Eventify
June 1, 2026 – Present
Built a vendor-banquet marketplace web app with a dynamic budget estimator and OCR-powered text translation using Python, Flask, and PIL.
Plant Disease Recognizer
June 1, 2026 – Present
Built a CNN-based deep learning model using Keras and TensorFlow to automatically detect and classify plant diseases from leaf images. Applied multi-layer convolutional feature extraction on a large, varied image dataset to maximize prediction accuracy.
Claude 101
Anthropic
June 1, 2026 – Present
Deep learning, AIML, NLP & Prompt Engineering
Infosys Springboard
June 1, 2026 – Present
Oracle SQL & Analytic SQL
Oracle
June 1, 2026 – Present
AIML workshop for Crop mapping Acreage mapping
ISRO
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and certifications demonstrate a strong interest and initiative in the Data Science domain. The diverse projects, from web development to deep learning, indicate a broad skill set and a willingness to tackle different types of technical challenges. The current role as a Data Annotation Analyst aligns well with the foundational aspects of data science, suggesting a practical, detail-oriented approach. The candidate's enthusiasm for learning new technologies also points to a good cultural fit for a dynamic tech environment.
Soft Skills & Operational Fit
The candidate's resume highlights teamwork, adaptability, analytical thinking, and cross-functional collaboration, which are crucial for operational fit in a data science team. The experience as a Data Annotation Analyst also suggests an understanding of data quality and workflow optimization.