Kavin Ramesh
@kavinramesh
Data Science & Machine Learning student building end-to-end ML solutions.
What I'm looking for
I’m a Data Science and Machine Learning student specializing in Artificial Intelligence and Machine Learning, with hands-on experience in Python, SQL, Pandas, NumPy, scikit-learn, and data visualization. I enjoy data cleaning, exploratory data analysis, feature engineering, regression, classification, NLP, and model evaluation—turning messy inputs into usable insights.
In my internships, I’ve cleaned and prepared real datasets, handled missing values and inconsistent formats, and used EDA to uncover patterns in the data. I’ve built data visualizations with Matplotlib, applied correlation and scatter plot analysis, and generated structured CSV outputs to keep workflows reproducible and organized. I also trained and evaluated predictive models using metrics like Accuracy, MAE, RMSE, and R², while maintaining project source code with Git and GitHub.
I build end-to-end machine learning projects too, including a Sales Prediction pipeline (Linear Regression vs. Random Forest Regressor) and an NLP-based Email Spam Detection classifier using text preprocessing and feature extraction. In these projects, I evaluated models with MAE, RMSE, R² and classification accuracy, documenting workflows to support reproducibility and clear decision-making.
Experience
Work history, roles, and key accomplishments
Data Science Intern
Cognifyz IT Solutions Pvt. Ltd.
Jul 2026 - Present (0 months)
Cleaned and prepared restaurant datasets using Python and Pandas, handling missing values and inconsistent formats. Performed EDA and correlation/scatter analysis, created 8 Matplotlib visualizations, and produced structured CSV outputs.
Data Science Intern
Oasis Infobyte
Jul 2026 - Aug 2026 (1 month)
Completed a one-month data science internship performing data cleaning, preprocessing, EDA, feature engineering, and data visualization on structured datasets. Built classification and regression models in Python using Pandas, NumPy, and scikit-learn, evaluating with metrics including Accuracy, MAE, RMSE, and R² and maintaining code with Git/GitHub.
Education
Degrees, certifications, and relevant coursework
SRM Institute of Science and Technology
Bachelor of Technology, Computer Science and Engineering (AI/ML)
Activities and societies: Relevant coursework: Data Structures and Algorithms, DBMS, Probability & Statistics, AI, Machine Learning, Data Science, Data Analytics, Deep Learning, NLP, OOP.
Bachelor of Technology in Computer Science and Engineering with a specialization in AI and Machine Learning at SRM Institute of Science and Technology. Expected graduation is 2029.
SPJ Matriculation Higher Secondary School
Higher Secondary Education (Class XII), Higher Secondary Education
Grade: 80.5%
Completed Higher Secondary Education (Class XII) at SPJ Matriculation Higher Secondary School in 2025. Scored 80.5%.
SPJ Matriculation Higher Secondary School
Higher Secondary Education (Class XI), Higher Secondary Education
Grade: 82.17%
Completed Higher Secondary Education (Class XI) at SPJ Matriculation Higher Secondary School in 2024. Scored 82.17%.
Zion Good Shepherd's Matriculation Higher Secondary School
Secondary Education (Class X), Secondary Education
Grade: 79.0%
Completed Secondary Education (Class X) at Zion Good Shepherd's Matriculation Higher Secondary School in 2023. Scored 79.0%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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