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Data Science with less than a year in Machine Learning and Deep Learning.
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 hands-on experience in SQL, Python, Machine Learning, and Deep Learning. Skilled in building predictive models, analysing complex datasets, and developing intelligent solutions. Seeking opportunities as an AI & ML Engineer to deliver impactful and data driven innovations.
Kingston Engineering College
B. Tech · INFORMATION TECHNOLOGY
August 1, 2021 – June 30, 2025
Ethiraj Matric. Hr. Sec. School
Higher Secondary Education
June 1, 2020 – May 31, 2021
Ethiraj Matric. Hr. Sec. School
Secondary School Education
June 1, 2018 – May 31, 2019
CLASSIFICATION - PLACEMENT PREDICTION
June 1, 2026 – Present
Built classification models using Logistic Regression, KNN, SVM, Gaussian NB, Decision Tree, and Random Forest for prediction. Performed EDA, feature selection & improved model performance.
REGRESSION - STUDENT PERFORMANCE PREDICTION
June 1, 2026 – Present
Developed regression models including Linear Regression, Decision Tree, Random Forest, and KNN Regressor. Optimized models using Randomized Search for hyperparameter tuning and evaluated performance through train-test splitting.
CNN - TOM & JERRY IMAGE CLASSIFICATION
June 1, 2026 – Present
Developed a Convolutional Neural Network (CNN) model to classify images of Tom and Jerry. Performed Image preprocessing, training, and evaluation to improve classification accuracy.
NLP - SWIGGY REVIEW ANALYSIS
June 1, 2026 – Present
Performed analysis on Swiggy app reviews using NLTK for preprocessing tasks such as tokenization, stop word removal, and lemmatization. Converted unstructured text into analysable data to support predictive modelling.
Data Science with Python
Unknown
June 1, 2026 – Present
Python Developer
Unknown
June 1, 2026 – Present
Machine Learning
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of exposure to different data science domains (classification, regression, CNN, NLP). The target role of 'Data Science' aligns well with the skills and projects presented. However, all projects are academic, limiting insight into real-world collaboration or industry application. The certifications listed are future-dated, which is unusual and reduces their immediate relevance.
Soft Skills & Operational Fit
The candidate's resume indicates an interest in data-driven problem-solving and exploring emerging technologies, which aligns with a proactive and curious work attitude. However, without psychometric test results or professional experience, it is difficult to assess stress handling, team collaboration, or overall operational fit.