Aniket Kr Singh

Results-driven professional with hands-on progressive experience in technology and innovation. An energetic self-starter and team builder with a strong ability to navigate high-pressure situations, meet deadlines, and deliver impactful solutions and Passionate about leveraging technology to drive innovation and optimize performance

• Microsoft Certified: Azure AI Fundamentals, Expert in leveraging Azure's AI for innovation, utilizing Cognitive Services, Machine Learning, and Bot Services. [01/01/23]
• Python Foundation - Quick Jump Start for Programmers, A fast-track curriculum designed for seasoned programmers, equipping them with essential Python skills from basics to advanced concepts. [08/01/23]
• Build a NLP solution with Azure AI Language, Innovated Azure AI Language, transforming data interaction with ground breaking NLP solutions. [01/01/24]
• Infosys Artificial Intelligence Foundation, Demonstrating mastery in foundational AI concepts. [02/01/24]
• Infosys Citizen Data Science Using Python, Mastering data analysis, visualization, and machine learning to drive data-driven decisions. [08/01/24]
• IBM Artificial Intelligence Fundamentals, Expertise in essential AI concepts, machine learning algorithms, and practical applications for real-world problem-solving. [08/09/24]

Insider Threat Detection in Cybersecurity Using Machine Learning and Deep Learning Techniques -

Designed an AI-driven insider threat detection system using ML and DL, leveraging behavioral analytics and the UEBA dataset for precise anomaly detection in cybersecurity

• Published in: GRADIVA REVIEW JOURNAL
• ISSN NO: 0363-8057
• Paper ID: GRJ/7975

DBMS Taxi Management System - [12/01/23 – 02/01/24]

• Designed and optimized a relational database schema to efficiently manage drivers, vehicles, customers, and trips.
• Developed advanced SQL queries for fare calculation, trip scheduling, and data analytics, enhancing operational decision-making.
• Integrated the database with a user-friendly interface, ensuring seamless booking and ride management for end-users.

Insider Threat Detection Using Machine Learning & Deep Learning - [02/10/24 – 20/02/25]

• Developed a cybersecurity framework leveraging machine learning and deep learning techniques for detecting insider threats.
• Designed a real-time model to analyze activity data, including login patterns, access points, and file usage behaviors, to predict potential security risks.

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