Rajarshi Kesh

Software Engineer

Mumbai, Maharashtra, India3 yrs 9 mos experience
Highly Stable

Key Highlights

  • Expert in Machine Learning and RPA solutions.
  • Successful sentiment analysis projects for major FMCG brands.
  • Strong foundation in software development and data analysis.
Stackforce AI infers this person is a Machine Learning and RPA specialist with experience in FMCG and software development.

Contact

Skills

Core Skills

Robotic Process AutomationMachine LearningSentiment AnalysisText Classification

Other Skills

Open Data FrameworkSupervised LearningUnsupervised LearningPythonC++CCustomer Relationship Management (CRM)Object-Oriented Programming (OOP)Data StructuresAlgorithmsPL/SQLHTML5Cascading Style Sheets (CSS)BootstrapJava

Experience

3 yrs 9 mos
Total Experience
3 yrs 9 mos
Average Tenure
3 yrs 9 mos
Current Experience

Amazon

2 roles

Software Development Engineer 2

Promoted

Apr 2025Present · 1 yr 1 mo · Bengaluru, Karnataka, India

Software Development Engineer

Jul 2022Mar 2025 · 2 yrs 8 mos · Bengaluru, Karnataka, India

Cisco

Software Engineer Intern

Jun 2021Jul 2021 · 1 mo · Bengaluru, Karnataka, India

Ibm

Project Intern

Jan 2021May 2021 · 4 mos · Pune Division, Maharashtra, India

  • Project Intern at IBM Software Labs

Workfusion

Automation Engineer

May 2020Oct 2020 · 5 mos · Bengaluru, Karnataka, India

  • ➢ Robotic Process Automation and use case design
  • ➢ Understanding of BOT CORE and various types of RPA Applications: Automation Projects
  • ➢ Qualitative training set as starting point for Machine Learning solution
  • ➢ Automation Engineer Specialist (AES) Certification
  • ➢ Open Data Framework (ODF) of WorkFusion and related project delivery
Robotic Process AutomationMachine LearningOpen Data Framework

Concentrix

Data Analyst

Feb 2020Aug 2020 · 6 mos · Kolkata, West Bengal, India

  • ➢Trained on performing Sentiment Analysis using Supervised and Unsupervised Learning Models.
  • ➢ Project 1:
  • Performed Sentiment Analysis on data collected from Social media for Nestle, using Unsupervised Learning Model and delivered more than desired accuracy of the model which is used by Nestle to improve product offering and reach.
  • Analyzed the data and created WordCloud and Hashtag Counter for each Sentiment.
  • Built a supervised Learning Model on the same data after manually tagging and reported desired results.
  • ➢ Project 2:
  • Text Classification into 117 categories of feedback about Product using Supervised Learning Algorithms for a multi-billion-dollar revenue earner MNC FMCG company.
  • Trained ML models like Naïve Bayes, SVM, RandomForest to perform the classification and reported the best Model. Also used a few advanced techniques like Oversampling to deal with Class Imbalance.
  • My project helped in improving product offering by upgrading features and safety in line with COVID-19 norms.
Sentiment AnalysisText ClassificationSupervised LearningUnsupervised Learning

Crmnext

Summer Intern

Jul 2019Aug 2019 · 1 mo · Mumbai Metropolitan Region

  • Study CRMNEXT Implementation in different company environments and recommend improvement opportunities in CRM Implementation

Education

Jadavpur University

Bachelor of Engineering - BE — Information Technology

Jan 2018Jan 2022

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