Mohini Pandey

Mohini Pandey

Intern

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location of Mohini PandeyPune, Maharashtra, India

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  • Timeline

  • About me

    SDE2 at Dream11

  • Education

    • P.V.G.s College of Engineering and Technology, Pune 9.

      2014 - 2018
      Bachelor of Engineering Computer Engineering
    • Kendriya Vidyalaya

      2012 - 2014
      HSC Science
    • Kendriya Vidyalaya

      -
      SSC High School/Secondary Certificate Programs
  • Experience

    • InnoBytes Technologies

      Mar 2017 - Aug 2017
      Intern

      Worked with the Front End Development of Website Innosparks using HTML5 , CSS3, Bootstrap,JavaScript and WordPress

    • Anulom Technologies Pvt Ltd

      Sept 2017 - Apr 2018
      Project Intern

      Worked as a Project Intern for developing a research Project named as Sarcasm Detection with recurrent Neural Network using Python Libraries and Tensorflow hence explored the concepts of Machine Learninghttps://ieeexplore.ieee.org/document/8663147

    • TMF Group

      Jul 2018 - Jun 2020
      IT Developer

      - Worked on business process optimization, achieving a 40% increase in sales engagement on TMF.- Streamlined sales operations by implementing Microsoft D365 CRM and developing critical functionalities using JavaScript and C#.- Designed user-friendly UI components using Javascript and JQuery with a strong focus on user experience , contributing to the notable engagement boost.

    • Numerator

      Jun 2020 - May 2022
      Software Engineer

      - Worked as a Full-Stack Developer.- Built an ad platform (Python/Django/React/PostgreSQL) that enhanced ad classification accuracy by 30% and processing speed by 20%.- Designed a user-friendly onboarding flow using react joyride.- Implemented CI/CD and extensive testing using CircleCI, Enzyme, Jest, and PyTest.

    • Dream11

      Jun 2022 - now
      SDE2

      - Member of Platform Engineering Team building software platforms for Dream11 and sister Dream Sports companies.- Focused on constructing Scaling Platform for Dream11.- Developed Django-based automated system for decentralized cloud management, reducing infrastructure costs by 40% during peak times (e.g., IPL with 10M users).- Significantly decreased scaling time from 12 mins to 20 secs, saving 17.5 man-hours/month through optimizations.- Improved system uptime by 80%, leading to a 40% reduction in downtime costs. Show less

  • Licenses & Certifications