B.Sc (PCM) graduate with practical training in Data Science and Generative AI through PhysicsWallah’s industry-aligned program. Skilled in Python, SQL, and SDLC concepts with hands-on project experience in NLP, data analysis, API integration, and cloud deployment (AWS, Streamlit, GCP). Familiar with Agile workflows, data engineering basics, and building end-to-end software applications. Proven ability to develop and deploy real-world machine learning models and dashboards using tools like Pandas, scikit-learn, Matplotlib, and Power BI. Eager to contribute to dynamic tech teams by solving business problems with data-driven, cloud-enabled solutions.
Data Science With Generative Ai, PhysicsWallah, 05/13/25
Fake News Classifier (NLP, Streamlit)
Built a real-time fake news detector using PassiveAggressiveClassifier with TF-IDF (99% accuracy). Applied NLTK for preprocessing and deployed an interactive app via Streamlit.
Resume Matcher (NLP, Deployed)
Developed a resume-job matcher using TF-IDF and keyword gap analysis. Deployed via Streamlit Cloud to provide live feedback based on job description input.
Job Market Dashboard (Adzuna API, Deployed)
Created a dashboard using Adzuna API and NLP to analyze hiring trends and salaries. Visualized insights with Plotly; deployed as a live Streamlit app.