Tushar Gatthewar

• Developed a centralized platform for Maharashtra government surveys, featuring advanced data analysis and visualization with tiered access controls, improving data accessibility by 40%.

• Applied predictive analytics to identify and address rural issues, leading to the implementation of targeted solutions and policy recommendations.

• Utilized a diverse tech stack including Python, HTML, LLM, AWS, Gemini, MongoDB, Flask, GitHub, Scikit-learn, and Power BI for a robust and scalable solution.

• Engineered a multi-layered phishing detection system with a three-tier approach, increasing detection accuracy by 25%.

• Layer 1: Conducted WHOIS database checks to identify suspicious URLs.

• Layer 2: Developed a Gradient Boosting model with 97% accuracy for URL feature extraction and phishing detection.

• Layer 3: Implemented automated Honeypot techniques using AWS EC2, enhancing threat analysis capabilities and reducing false positives.

• Improved user experience by analyzing 3000+ session logs, implementing anomaly detection, and reducing user drop-off by 20%.

• Implemented session replay, heat maps, and an admin dashboard, boosting monitoring efficiency by 30%.

• Used AWS EC2 for deployment with Elastic Load Balancer for traffic control.

• Utilized Python, Scikit-learn, Flask, MongoDB, AWS EC2, Boto3 SDK, GitHub, RestAPI, PowerBi, and JavaScript.