Gowtham Anbazhagan

About Me

Detail-oriented Computer Applications graduate skilled in Python, SQL, and data analysis. Proficient in machine learning, deep learning, and deploying AI applications using modern tools. Passionate about delivering data-driven solutions that enhance decision-making and performance.

Technical Skills

Programming: Python, SQL
Data Analysis: Pandas, NumPy, Feature Engineering
ML: Scikit-learn, XGBoost, Random Forest, Logistic Regression
Deep Learning: TensorFlow, Keras (CNN, RNN)
NLP & Gen AI: Text Preprocessing, Text Generation
Visualization: Power BI, Matplotlib, Seaborn, Plotly
Deployment: Streamlit, MLflow, GitHub, Jupyter Notebook
Databases & Cloud: MySQL, PostgreSQL, AWS

Projects

AskDocs: Secure AI document analysis app using LLAMA 2 and LangChain for real-time document querying.

Mental Health Prediction: Depression risk prediction using Streamlit and neural networks on AWS.

Customer Risk Analysis: Power BI dashboard that analyzes customer behavior, retention, and churn risk to help drive strategic decisions.

Zomato Data Insights: Full CRUD interface for managing Zomato-related data in MySQL.

Clickstream Customer Conversion: Machine learning models that predict conversions from clickstream data, estimate revenue, and segment users for marketing.

Smart Premium: Interactive Streamlit app to predict insurance premium amounts using user inputs and ML models.

Cricsheet: Custom dashboard that filters and presents cricket data from a large parent dataset using ML techniques.

Education

Bachelor of Computer Applications (BCA)
St. Joseph’s College of Arts & Science
Thiruvalluvar University | Graduated: 2017

About Me

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Education

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