Divashree Agrawal

Senior Software Engineer

Bengaluru, Karnataka, India10 yrs experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Java and Spring frameworks.
  • Proven track record in developing customer retention solutions.
  • Strong background in machine learning and personalized recommendations.
Stackforce AI infers this person is a SaaS expert with a strong focus on customer engagement and machine learning.

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Skills

Core Skills

JavaSpringMachine Learning

Other Skills

HIVESpring JavaDrools (Rules-Language)SQLPythonMySQLJDBCHadoopCC++

About

Enthusiastic and Hard working.Love to code and explore new things.Believes in the logic of Knowledge being vast and infinite .Always ready to learn and progress.

Experience

Amazon

2 roles

Senior Software Engineer

Jul 2024Present · 1 yr 8 mos

SDE-2

Apr 2019Jul 2024 · 5 yrs 3 mos

Adobe

3 roles

Senior Member Of Technical Staff

Promoted

Jan 2018Feb 2019 · 1 yr 1 mo · Noida, Uttar Pradesh, India

  • As part of the Cloud team at Adobe, developed a service to enhance customer retention for internal teams. The service allowed business users to experiment with personalized experiences across multiple channels by learning from customer journey tests. Key responsibilities included:
  • 1. Built a self-service tool enabling users to design and manage personalized campaigns targeting
  • specific customer segments through cards, emails, and notifications.
  • 2. Developed an Execution Engine to process campaigns and deliver content based on predefined criteria.
  • 3. Worked on a Trigger Management System to support various triggers based on changes in user profiles, initiating notifications and emails.
HIVESpring JavaDrools (Rules-Language)SQLSpringJava

Member of Technical Staff

Jul 2016Dec 2017 · 1 yr 5 mos · Noida, Uttar Pradesh, India

  • Worked in Personalisation Cloud team, building Campaign Management platform, for business and marketing folks to experiment and perform different A/B experiments to launch strategies in products like Above Photoshop, Illustrator etc

Adobe Research Intern

Jan 2016Jul 2016 · 6 mos · Noida, Uttar Pradesh, India

  • In-App User Context Based Tutorial Recommendation(Machine Leaning Based Model)
  • 1. A model to provide personalised content, in our case tutorial, to our various Product users
  • based on their feature usage, Profile and engagement streams.
  • 2. An algorithm to provide the top N recommendation to users and to rotate the
  • recommended list depending upon his engagement with the recommended list.
  • 3. For this project worked mostly on Hive and python.
HIVEPythonMachine Learning

Education

Indian Institute Of Information Technology Allahabad

Bachelor's Degree — Information Technology

Jan 2012Jan 2016

St. Pauls Sr. Sec School

Senior Secondary Examination

St. Pauls Sr. Sec. School

Higher Secondary Examination

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