POOJA MHASKE

• Having 2.5 years of IT Experience in design and development of web application using Html, CSS, Angular, React, and JavaScript.
• Extensively worked with Development tools like IntelliJ Idea, VSCode, GIT.
• Overall responsibility for the day-to-day operations of the project, reporting periodically to all the stakeholders, Project Planning and Tracking, Risk analysis, Counter action and Team building and onsite deployment.
• Good Communication skills, interacting caliber and adaptation to quick learning, ability to accomplish deadlines independently. Ability to handle client's call.

OTH & OPP (Dec 2021 - Present)

Client : GSK, Everest, Kellogg's, Atos, Moody , boots, and many more

Role: Software Developer (Front - end Developer)
About Project Organization and Talent Hub (OTH) is an EY developed application that supports workforce transformation, where there is a merger, acquisition, divestiture, re-structuring, or a combination. It enables design of the future state of organizations, along with KPIs, analytics, and intelligence around the transformation.

Responsibilities 

• Proficient in leveraging Azure DevOps for comprehensive requirement gathering, ensuring alignment with project objectives and stakeholder needs.
• Actively engaged in end-to-end software development lifecycle, including development, bug fixing, and enhancement initiatives.
• Adept at conducting thorough code reviews, ensuring adherence to coding standards and best practices.
• Regularly participate in Agile ceremonies such as Daily Stand-up Meetings (DSM), Program Increment (PI) Planning, and Retrospectives.
• Facilitate effective communication and collaboration within Agile teams to drive continuous improvement and project success.

Intern
ISRO-RRSC Bengaluru, Karnataka, India Jan 2020 - March 2022

Project: Automatic apple fruit detection using deep learning

• Developed a Convolutional Neural Network (CNN) based on the YOLO- V3 Object Detection Model.
• Created a highly accurate model for detecting various fruits in images, with a specific focus on apple detection.
• Utilized advanced deep learning techniques and computer vision to train the model for fruit detection.
• Successfully implemented the model to automatically identify apple fruits within images.
• Collaborated closely with a team to optimize the model's performance and enhance its accuracy.
  

• Listening music
• Travelling

• Date of Birth: 29/11/1999
• Gender: Female
• Nationality: Indian