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Data Science with less than a year in AI/ML & Data Visualization
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Assessing your cultural and operational fit
Analytical and detail-oriented Data Science enthusiast with hands-on experience in Python, Machine Learning, and data visualization. Skilled in transforming raw data into meaningful insights and developing predictive models to support data-driven decision-making. Strong problem-solving ability with a keen interest in applying data analysis techniques to real-world business challenges.
TKM Institute of Technology
B.Tech · Computer Science
August 1, 2021 – June 30, 2025
Amirtha HSS
Higher Secondary (Plus Two)
June 1, 2019 – May 31, 2021
Techmaghi
AI Integrated Data Science Intern
January 1, 2025 – Present
India
Bird Species Classification using CNN & Power BI
June 19, 2026 – Present
Built a CNN-based model to classify bird species with 98% accuracy. Performed image preprocessing and data augmentation to improve model performance. Technologies: Python, TensorFlow, Keras, Power BI.
Brain Tumor Classification using DenseNet121
June 19, 2026 – Present
Built a deep learning model to classify brain tumor types using DenseNet121, achieving high accuracy. Improved performance by applying low-light image enhancement and integrating a self-attention mechanism. Technologies: Python, TensorFlow, Keras, OpenCV.
House Price Prediction using Machine Learning
June 19, 2026 – Present
Built a machine learning model to predict house prices using property features. Performed data cleaning, outlier handling, and feature selection. Achieved an R2 score of 0.85. Technologies: Python, Pandas, Scikit-learn.
Credit Card Fraud Detection
June 19, 2026 – Present
Built classification models including Logistic Regression, Random Forest, and Stacking to detect fraudulent transactions. Achieved up to 98% accuracy and ROC-AUC of 0.98. Technologies: Python, Pandas, Scikit-learn.
Heart Disease Prediction using Machine Learning
June 19, 2026 – Present
Built classification models using Logistic Regression, Random Forest, and Stacking. Applied data preprocessing techniques including scaling and handling class imbalance. Achieved high performance using evaluation metrics like accuracy, F1-score, and ROC-AUC. Technologies: Python, Pandas, Scikit-learn.
Cultural Fit Analysis
The candidate's academic projects show a diverse application of data science techniques across different domains (image classification, regression, fraud detection, medical diagnosis), indicating a broad interest and adaptability. The internship at Techmaghi further suggests an ability to work in a professional setting. The focus on practical application and problem-solving aligns well with a results-oriented culture. However, without more information on team dynamics or specific contributions in a collaborative setting, a full assessment of cultural fit is limited.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving ability, and a keen interest in applying data analysis techniques to real-world business challenges, which are positive indicators for operational fit. The internship experience suggests an ability to work with real-world datasets and contribute to business insights. However, as an entry-level candidate, the depth of experience in collaborative, production-level environments is limited.