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Hi πŸ‘‹, I'm Smitha Upadhyaya πŸ‘©

10+ year professional experience as software developer from Surat, Gujarat. Fast learner and eager to explore new technologies. Believer in agile software development, team work and clean code. Currenlty am learning Machine Learning and want to take up a role as Data Scientist.

smithaupadhyaya

  • πŸ’ΌπŸ’»πŸ‘¨β€πŸ’» Previous job have worked on desktop applications, windows service, SAP (TX/BAPI/DE/GUI) modules, devxpress winform controls. Last project worked on was desktop application that automated the task of SAP transaction.
  • πŸ’¬ Ask me about SQL Query, C#, Add-in for Excel
  • πŸ‘¨β€πŸ’» Fashion recommendation system is my first project in ML. You can find my projects here
  • πŸ‘― I’m looking to collaborate on open source.
  • ⚑ Fun Fact: I love chocolate:chocolate_bar::yum:, trying new dish:woman_cook: for family:family: and gardening πŸ‘©β€πŸŒΎπŸ€²πŸŒ±πŸŒ·πŸŒΏ.

Languages and Tools:

perforce jira keras scikit_learn
mssqlserver
seaborn
pandas feast jira jenkins excel
Microsoft SQL Server,Pandas icon by Icons8

Connect with me:

linkedin_profile

Smitha Upadhyaya's Projects

employee_access_resource_classifier icon employee_access_resource_classifier

When an employee at any company starts work, they first need to obtain the computer access necessary to fulfill their role. This access may allow an employee to read/manipulate resources through various applications or web portals.The objective is to build a model, learned using historical data, that will determine an employee's access needs.

fashion_image_caption icon fashion_image_caption

Automate Fashion Image Captioning using BLIP-2. Automatic generating descriptions of clothes on shopping websites, which can help customers without fashion knowledge to better understand the features (attributes, style, functionality etc.) of the items and increase online sales by enticing more customers.

fashion_recommendation_system icon fashion_recommendation_system

Recommender systems became one of the essential areas in the machine learning field. Product recommendations are key to enhance customer exeperiance and help them to find the right product from huge corpus of products. When customer find the right product that are mostly like going to add the item to cart and which help in company revenue.

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