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Data Science with less than a year in AI, ML, and 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
B-Tech graduate (2026) in Artificial Intelligence & Machine Learning with hands-on experience in data analysis, and deriving actionable insights. Proficient in Python, SQL, TensorFlow, and Scikit-learn. Experienced in end-to-end model development from data preprocessing model training, evaluation, and explainability. Seeking an entry-level Data Analyst, AI, ML role to contribute to impactful, data-driven solutions.
JSPM University
B-Tech · Artificial Intelligence & Machine Learning
August 1, 2023 – June 30, 2026
Vasant Polytechnic College
Diploma · Computer Engineering
August 1, 2020 – June 30, 2023
Model English School
SSC (Class X)
N/A – May 31, 2020
Brain Tumor Classification using CNN + VGG16 Hybrid Models (Final Year Project)
January 1, 2025 – January 1, 2026
Designed a hybrid CNN+VGG16 deep learning system to classify brain tumors from MRI scans, achieving 98% accuracy across multi-class tumor categories. Performed complete data pipeline noise removal, normalization, resizing, and augmentation of MRI scan datasets. Applied explainability techniques LIME, SHAP, and Grad-CAM to interpret and validate model predictions, improving more accuracy. Evaluated using accuracy, precision, recall, F1-score, and confusion matrix results demonstrated high reliability.
Hospital Readmission Prediction using ML
January 1, 2025 – January 1, 2025
Built a predictive ML system on historical hospital data to identify patients at high risk of readmission, supporting early intervention decisions. Conducted thorough EDA and feature engineering to uncover key clinical drivers affecting readmission rates. Compared Logistic Regression, Random Forest, models optimized hyperparameters to improve prediction performance.
Netflix Data Analysis
January 1, 2024 – January 1, 2024
Analyzed Netflix content dataset to identify viewing trends, genre preferences, and content performance across regions. Performed data cleaning, transformation, and EDA visualized findings through interactive Power BI dashboards.
Tata Data Visualization Virtual Experience
Forage
June 1, 2026 – Present
Computer Vision & Image Processing
NPTEL
June 1, 2026 – Present
Business Intelligence & Analytics
NPTEL
June 1, 2026 – Present
Cloud Computing
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in diverse applications of AI/ML, from medical imaging to healthcare prediction and entertainment data analysis. This breadth of interest suggests adaptability and a willingness to explore different problem domains. The certifications in Cloud Computing, Business Intelligence, and Computer Vision indicate a proactive approach to skill development. The target role of 'Data Science' aligns well with the candidate's academic background and project focus. However, without information on collaboration or team-based projects, assessing cultural fit beyond technical alignment is limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work through complex problems (e.g., brain tumor classification, hospital readmission prediction) and a structured approach to data analysis. The academic nature of projects suggests a learning-oriented mindset. However, without professional experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or specific work attitudes.