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  • πŸ‘‹ Hi, I’m @milonigada09
  • πŸ‘€ When I am not crunching numbers, I enjoy reading, exploring new places, and creating art.
  • 🌱 I am a Data Analyst with over 5 years of experience, passionate about understanding the hidden patterns and stories in data. I have a background in mathematics and computer science, and have experience working with a variety of data sources and tools. My specialties include data mining, predictive analytics, and machine learning. I'm always looking for new ways to make sense of data and uncover meaningful insights.
  • πŸ’žοΈ I’m looking to collaborate on data analytics and ML projects
  • πŸ“« How to reach me : email me at [email protected]

Miloni Gada's Projects

carbon_emissions icon carbon_emissions

Analysis between human production (which relies heavily on energy consumption), greenhouse gas (GHG) emissions and temperature trends over the past years and decades.

gotickets-business-system-using-sdlc-concepts icon gotickets-business-system-using-sdlc-concepts

Designed a mobile application prototype named β€œGoTickets” that is used to search/browse/select tickets for events based on the user location, provides event information like ticket price, event duration, show timings etc. that enables users to order food/beverages and encourages them to provide feedback post events, thereby quantifying cost/benefit

open_source-software-mysql icon open_source-software-mysql

This project solves a business problem faced by the food industry and reduce food wastage, associated with the Tech-for-good domain by designing user stories, personas and acceptance criteria to increase conversational rate and web traffic

restaurant-database-design-using-sql icon restaurant-database-design-using-sql

In this project, I created a logical data model for restaurant POS by modeling different restaurant processes into entities using MySQL database and mapped transactions and customer data to entities, employed advanced SQL queries to optimize phone and email time by 20%

supply-chain-forecasting-deep-learning icon supply-chain-forecasting-deep-learning

In this project, we leverage Deep Learning algorithms to build robust forecasting system that monitors the change in the demand side and aligns the supply side to make up for the inaccuracy of the forecasts and randomness in demand, helping retailers increase their inventory and planning efficiency.

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