Data Science β’ Machine Learning β’ NLP β’ Deep Learning
Building intelligent solutions with data and AI π
π Passionate about transforming data into actionable insights through Data Science and Machine Learning.
π€ Interested in Machine Learning, Natural Language Processing (NLP), Data Analytics, and AI Applications.
π Building real-world projects to strengthen my expertise in Data Science and Artificial Intelligence.
π― Actively seeking Data Science, Machine Learning, and AI Internship Opportunities.
- π B.Tech in Electronics & Communication Engineering
- π Strong foundation in Data Analysis, Machine Learning, and NLP
- π§ Passionate about solving real-world problems using data
- π Experienced in building end-to-end ML projects
- π Learning Deep Learning and AI through practical implementation
- Built an NLP-based fraud job detection system.
- Achieved 98.6% Accuracy using TF-IDF and Linear SVM.
- Implemented text preprocessing, feature engineering, and probability calibration.
- Developed a Streamlit-ready web application.
- Conducted exploratory data analysis and visualization to identify business trends and insights.
- Developed a banking application using Python, OOP concepts, and JSON-based data storage.
Languages: Python, SQL
Data Science & Machine Learning: Pandas, NumPy, Scikit-Learn, SciPy, Matplotlib, Seaborn, Plotly
NLP: NLTK, TF-IDF, Text Preprocessing, Tokenization, Stemming, Lemmatization
Databases: MySQL, PostgreSQL
Tools: Git, GitHub, Jupyter Notebook, Anaconda, Streamlit
Deep Learning: PyTorch
- Data Science Certification Program
- Deloitte Data Analytics Job Simulation
- 30 Days SQL Micro Course
- Master Machine Learning & NLP
- Learn Deep Learning & Generative AI
- Build End-to-End ML Applications
- Contribute to Open Source
- Secure a Data Science / Machine Learning Internship
β Transforming Data into Insights, One Project at a Time.