Credit Card Fraud Detection
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Summary
Built an end-to-end pipeline for credit card fraud detection, leveraging Random Forest and SMOTE on a large transaction dataset.
About
Highly motivated Data Scientist and ML Enthusiast with hands-on experience in developing and deploying robust machine learning models for critical applications like fraud detection, churn prediction, and NLP chatbots. Proficient in Python, SQL, ML, and data visualization tools (Power BI, Tableau), adept at transforming complex datasets into actionable insights to drive smart, data-driven business decisions and achieve measurable impact.
Work
Robustrix AI
|NLP Developer (Project work)
Delhi, India, India
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Summary
Developed and integrated NLP solutions for a news aggregation platform, enhancing content processing and real-time data insights.
Highlights
Engineered a news aggregation and sentiment analysis pipeline, processing approximately 5,000 articles daily using APIs and NLP.
Implemented advanced topic tagging and de-duplication algorithms, resulting in a 35% reduction in duplicate content.
Integrated enhanced NLP features into an AI dashboard, providing real-time updates for improved data analysis and decision-making.
Academic Projects (B.Tech Students - Freelance)
|Freelance Project Developer
Delhi, India, India
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Summary
Delivered diverse academic projects for B.Tech students, ensuring timely and successful deployment of custom solutions.
Highlights
Developed and delivered over 5 academic projects, including chatbots, voice assistants, games, and websites, for B.Tech students.
Achieved 100% on-time project delivery, ensuring successful deployment for student submissions and demonstrations.
Education
Delhi University
Delhi, India, India
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Bachelor of
Arts
Certificates
Data Science
Issued By
National Institute of Electronics and Information Technology
Python for Data Analysis
Issued By
Great Learning
Business Professional Programmer (O level)
Issued By
National Institute of Electronics Information Technology
CCC
Issued By
National Institute of Electronics and Information Technology
Skills
Programming Languages
Python, SQL.
Machine Learning
Supervised Learning, Unsupervised Learning, Natural Language Processing (NLP), Fraud Detection, Churn Prediction, Recommendation Systems, Classification, Regression, Decision Trees, Random Forest, TF-IDF, Cosine Similarity, Naïve Bayes, Logistic Regression, SMOTE.
Frameworks & Libraries
LangChain, Hugging Face, OpenAI API, Flask, Streamlit, Regex.
Data Visualization
Tableau, Power BI.
Databases
PostgreSQL, MongoDB.
Cloud Platforms
AWS (Basic).
Projects
Email Spam Classification
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Summary
Developed an email spam classification system using TF-IDF, Naïve Bayes, and Logistic Regression to efficiently filter emails.
Real Estate Price Prediction
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Summary
Developed a content-based recommender system for real estate price prediction, delivering personalized property suggestions.
Movie Recommendation System
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Summary
Engineered and deployed a content-based movie recommender system using TF-IDF and cosine similarity on a dataset of 5,000 movies.
Crop Recommendation System
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Summary
Designed a recommendation system to suggest optimal crops based on environmental parameters, enhancing agricultural decision-making.
AI Doctor Chatbot
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Summary
Developed an NLP-based chatbot to provide medical Q&A, leveraging Python and Regex for robust functionality.