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AI Engineer with less than a year in Data Analysis & Deep Learning.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with strong foundation in statistics, SQL, and Python. Built ML projects requiring deep data exploration and insight generation. Experienced in conducting exploratory data analysis, identifying key metrics, and translating data insights into business recommendations.
JSS Academy Of Technical Education, Noida
Bachelor's of Technology · Computer Science Engineering- AI/ML
November 1, 2022 – July 1, 2026
Bal Bharati Public School, Noida
Higher Secondary School · CBSE Class XII
April 1, 2020 – July 1, 2022
Bal Bharati Public School, Noida
Senior Secondary School · CBSE Class X
April 1, 2018 – March 1, 2020
Kitchin (Early-stage Startup)
Machine Learning Intern
October 1, 2025 – January 1, 2026
India
CareerCrush Labs
AI/ML Intern
June 1, 2025 – December 1, 2025
India
NeuroScan – Brain Tumor Classification using Deep Learning
June 1, 2026 – Present
Analyzed 2000+ MRI image dataset to understand tumor characteristics, built deep learning classification model achieving 92% accuracy and performed data augmentation and preprocessing to improve model robustness. Key Features: Designed and trained a Convolutional Neural Network (CNN) to classify brain tumors from MRI scans, achieving 92% accuracy. Implemented advanced image preprocessing and data augmentation techniques to improve model robustness and generalization. Performed hyperparameter tuning and feature map visualization to enhance model performance and interpretability.
View ProjectMediMitra AI - Disease Prediction Chatbot
June 1, 2026 – Present
Developed an AI-powered medical assistant that predicts potential diseases from natural language symptom descriptions and generates simplified medical explanations using a large language model. Features: Conducted exploratory data analysis on 500+ symptom-disease records, identified key symptom patterns correlating with specific diseases. Built multi-class classification model achieving 87% precision and 91% recall and analyzed feature importance to determine top symptom predictors. Created interactive Streamlit dashboard enabling symptom input and disease prediction, translating analysis into user-facing insights.
View ProjectCS50's Introduction to Artificial Intelligence
Harvard
June 1, 2026 – Present
AWS AI&ML Scholar
AWS
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from medical chatbots to brain tumor classification and user behavior analysis, indicates a broad interest in applying AI/ML across different domains. Participation in hackathons and leadership roles suggests a proactive and collaborative mindset. The target role of AI Engineer aligns well with the candidate's academic background and project experience, focusing on practical application of AI/ML.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills through project execution and data story-telling. Leadership experience as President of a university society indicates organizational and team collaboration potential. The internships show an ability to analyze user behavior and feedback, which is crucial for product-oriented AI roles.