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Data Scientist with less than a year in machine learning and predictive analytics.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Scientist with strong foundations in machine learning, statistics, and predictive analytics through advanced ML projects and data-driven problem solving. Skilled in Python, SQL, regression, clustering, deep learning, and statistical analysis, delivering up to 96% model accuracy using scalable ML solutions and exploratory data analysis.
University of Mumbai
Bachelor of Engineering (BE)
August 1, 2018 – June 30, 2018
Imarticus Learning Institute
Postgraduate Program in Data Science and Analytics with Advance ML · Data Science and Analytics
N/A – June 30, 2026
A study on Chicken Disease Classification using CNN
June 27, 2026 – Present
Developed chicken disease classification system using CNN and transfer learning, achieving 96% accuracy on image datasets. Implemented image preprocessing techniques including augmentation, scaling, and rotation to improve deep learning model generalization capability. Trained deep learning models using TensorFlow, Keras, and InceptionV3 architecture across 50 epochs for accurate disease classification. Extracted insights from Kaggle datasets containing 50+ disease indicators to support data-driven healthcare prediction use cases.
A study on Customer Satisfaction in Airline
June 27, 2026 – Present
Built customer satisfaction prediction model using Python and statistical analysis, achieving 83% accuracy through Logistic Regression classification. Analyzed 40+ airline service variables using EDA, feature engineering, scaling, and preprocessing to improve model performance significantly. Applied supervised learning algorithms including Random Forest, SVM, Decision Tree, and Logistic Regression for customer behavior prediction. Performed feature selection, correlation analysis, hypothesis testing, and missing value treatment to optimize predictive modeling outcomes. Evaluated multiple ML models using classification metrics and statistical insights to identify the best-performing business solution.
Cultural Fit Analysis
The candidate's projects are academic and focused on data science, which aligns with the target role. However, the lack of professional experience and diverse project types beyond academic settings limits the assessment of cultural fit. The candidate is currently pursuing a postgraduate program, indicating a commitment to continuous learning.
Soft Skills & Operational Fit
The candidate's resume highlights project-based learning and problem-solving skills. However, without completed psychometric or English tests, it is difficult to assess soft skills like logical reasoning, work attitude, stress handling, or team collaboration. The candidate's experience level is 0, indicating a lack of professional operational experience.