Projects using MySQL in Noida
Projects using MySQL in Noida
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Raj Pathak
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PCI DSS Compliance Remediation & Server Security Hardening
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14
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Mehroz Ali Pasha
AMU, India's 3rd Largest Govt University's Website & CRM
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34
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Sunil Kumar
Knit - all-in-one CRM with pipeline, inbox, support, marketing, automation, and analytics connected in one multi-tenant workspace.
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111
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Abhishek Ranaut
Developed and optimized a professional WordPress website using a modern, performance-focused technology stack. The project included WordPress development, responsive design, CMS customization, SEO configuration, performance optimization, analytics integration, caching, and form functionality.
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80
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Arisen Techchnologies
hatco
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18
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Uttam Kumar
BuildChek.com (http://BuildChek.com) is an all-in-one construction project management platform designed to streamline the management of construction projects from start to finish. The platform provides tools for scheduling, task management, budget tracking, communication, and reporting, all tailored to meet the unique needs of the construction industry
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33
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Mansi Sharma
Developed and customized the Moodle LMS platform for the SELC, implementing secure authentication, course management modules, and performance optimizations.
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46
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Seven Z
GPIMS : An Inventory Management System for a College.
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94
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pankaj singh
Karam online product sell
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27
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Gaurav Malik
FourthInning.com (https://FourthInning.com) : Fantasy team prediction plateform
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32
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Amit Kumar
E-commerce Website Design & Development
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23
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Shailesh kumar Mishra
School ERP
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36
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Amit Pradhan
Developed a modern service marketplace platform that connects customers with local service providers. The platform includes provider registration, service discovery, advanced search, secure payment integration, real-time proposal management, and project tracking. Built a responsive web application focused on user experience, scalability, and seamless communication between customers and service professionals.
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25
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Puneet Parve
Simplified Billing
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12
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Raman Kumar
Anything Will Do Fundraising
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11
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Saransh Purohit
In this technical deep-dive, I engineered a robust SQL script to extract high-level financial insights from 20+ years of Nifty 50 data. I moved beyond basic queries to implement complex analytical functions that simulate real-world market tracking. Market Sentiment Logic: Developed a CASE-based classifier to identify Bullish/Bearish trends using 50-day Moving Averages. Volatility & Risk: Calculated day-on-day price fluctuations and ranked high-risk trading days. Momentum Tracking: Integrated window functions (LAG/LEAD) to compute RSI-base logic and 30-day price momentum. Efficiency Metrics: Analyzed Turnover Efficiency to understand market liquidity during peak trading hours. This project demonstrates my ability to handle large-scale financial datasets and translate raw numbers into strategic market indicators.
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