Data Scientist | Govt. Certified Child Scientist | GDSC Content writer Lead’23| Data driven | Innovator | Speaker | Learner
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Credit-card-fraud-detection
January 22, 2025 – January 22, 2025
The objective is to detect fraudulent transactions using anomaly detection techniques. We implement and compare algorithms such as Isolation Forest, Local Outlier Factor (LOF), and Support Vector Machine (SVM). The goal is to identify fraudulent transactions with high accuracy despite the imbalanced nature of the dataset.
View ProjectDecoding-Online-Payments---Deep-Insight-into-UPI-and-BHIM
November 12, 2024 – November 12, 2024
Extracted, preprocessed, analyzed, and visualized data from 10+ domains of the National Payments Corporation of India. Leveraged BeautifulSoup and Selenium to collect static and real-time data, utilizing Pandas and NumPy for database management and CSV manipulation. This streamlined analysis and insights for financial and payment domains effectivel
View ProjectIR-CAP
November 12, 2024 – November 12, 2024
The IR Cap is an innovative tool for visually impaired users, utilizing infrared waves to detect obstacles. Equipped with sensors and a vibration alert mechanism, the cap warns users of nearby objects, enhancing mobility and safety. This design reflects both technical ingenuity and empathy, providing a practical solution for improved navigation.
View ProjectNews-Research-Tool
November 12, 2024 – November 12, 2024
News Research Tool is a user-friendly app for quick info retrieval. Users input URLs or upload text files with URLs, and LangChain's UnstructuredURL Loader processes content. Hugging Face embeddings with FAISS enable fast retrieval, and users can query ChatGPT to get answers with source URLs on stock market and finance topics.
View ProjectTableau_netflix
November 12, 2024 – November 12, 2024
This Netflix Tableau project analyzes Netflix’s content catalog, focusing on growth, genre distribution, and global reach. Visualizations show trends in content type, popular genres, and regional representation, offering insights into Netflix’s evolving library and audience demographics through interactive, easy-to-interpret data visualizations.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate initiative in exploring various data science and AI-related topics. The diversity of projects (payments analysis, fraud detection, news research tool, Netflix analysis) indicates a broad interest in data applications. However, without team-based project experience or explicit collaboration details, cultural fit for a collaborative team environment is difficult to fully assess. The 'IR-CAP' project shows an interest in applying technology for social good, which could align with certain company cultures.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions suggest an ability to work on self-directed tasks.