Kavitha Muthuraman
M.Sc Applied Mathematics student at PSG College of Technology · Aiming for Data Analyst, Data Scientist, Python Developer
Kallakurichi · https://www.linkedin.com/in/kavitha-muthuraman · https://github.com/kavim2203-hub
About
I completed my M.Sc. in Applied Mathematics at PSG College of Technology in 2026. I have developed several data science and machine learning projects, including an Aspect-Based Sentiment Analysis model using BERT with 99.19% test accuracy and a Machine Learning Ensemble Model for Groundwater Quality Prediction that achieved 100% accuracy on the evaluated dataset. I have also developed an E-Commerce Profitability Dashboard using Power BI to analyze sales, customer behavior, and profitability insights. My key skills include Python, SQL, data analysis, machine learning, and frameworks such as PyTorch and TensorFlow. I am seeking a Data Analyst role where I can apply my technical, analytical, and problem-solving skills to derive meaningful insights and solve real-world business problems.
Education
PSG College of Technology
2024 – 2026M.Sc. Applied Mathematics · Grade: 7.6
PSGR Krishnammal College for Women
2021 – 2024B.Sc. Mathematics · Grade: 75%
Projects
Aspect-Based Sentiment Analysis of Product Reviews
Python, BERT, spaCy
Fine-tuned BERT using Python to classify product reviews as positive, negative, or neutral, achieving 99.19% test accuracy. Applied quantitative research methods and spaCy to extract key product aspects from negative reviews and map sentiments to each aspect for more precise analysis.
Machine Learning Ensemble Model for Ground Water Quality Prediction
Python, SMOTE, Random Forest, XGBoost, SVM, KNN, HMM
Built a data pipeline to preprocess, clean, and integrate 1,000+ environmental records, utilizing SMOTE algorithms to resolve severe class imbalance issues. Enhanced and analyzed 5 distinct machine learning models (Random Forest, XGBoost, SVM, KNN, HMM), using accuracy, precision, recall, F1-score, and confusion matrix analysis; selected an ensemble approach that achieved 100% accuracy on the evaluated dataset.
Expense Tracker System
Python, SQL
Expanded a Python-based expense tracking application with SQL, implementing CRUD operations, expense categorization, and budget management. Designed reusable application and database components to manage financial records efficiently and generate expense reports.
E-Commerce Profitability Dashboard
Power BI, MS Excel, DAX
Built an interactive Power BI dashboard analyzing sales, customer segments, product performance, profitability, and returns. Used MS Excel, data transformation, DAX measures, KPI visualization, and interactive filters to derive business insights and identify profitability trends.
Skills
Certifications
Python for Data Science, AI & Development
IBM · coursera.org
Azure Fundamentals
Microsoft
Introduction to Excel
Microsoft
Six Sigma White Belt
CSSV
Achievements
E-Commerce Profitability Dashboard
Built an interactive Power BI dashboard for an e-commerce profitability analysis, providing insights into sales, customer segments, and product performance.
Expense Tracker System
Expanded a Python-based expense tracking application with SQL, implementing CRUD operations and budget management features.
Python for Data Science, AI & Development - IBM
2024Completed the 'Python for Data Science, AI & Development' course by IBM on Coursera.
Microsoft Azure Fundamentals
2024Completed the 'Azure Fundamentals' certification by Microsoft.
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