Ritisha Jaiswal

Experience

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  Infogain

  Mar 2017 - Jul 2019

  Data Scientist

  • Developed a 'credit default risk' system for a Non Banking Financial company to analyze loan repayment capabilities of retail clients.• Delivered on ad-hoc dashboarding requests from cross-functional teams.• Provided internal/external advocacy regarding AWS Cloud services.

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  Daffodil Software

  Jul 2019 - Mar 2021

  Data Scientist

  Client:- A leading ecommerce chainAbout my role:- In this role, I was responsible for creating a Machine learning model to predict product sales for the impending months by analyzing raw sales data in an effort to optimize on the expensive storage space and fast delivery times.Key Achievements: - The model helped save on storage space by keeping the inventory at optimum levels and helped strike a right balance between overstocking and having to re-order too frequently.Client #2:- Prudential Insurance, one of the world's leading insurance companies.About my role:- In this role, I was responsible for developing a predictive analytics solution to classify health insurance applicants into different risk spectrums based on a large amount of structured data like historic medical records, financial status, age group, etc. Insurance quotes were determined on the basis of the risk profile of the applicant.Key Achievements:- The model helped to reduce the time taken for the quotation process from 7 days down to just 2 days. It also helped increase the top line revenue by 15% by optimizing the insurance quotes for high-risk people.Tech Stack:- Machine learning, Python, Pandas, Scikit-learn, XgBoost Show less

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  MOHAP (Ministry of Health and Prevention, UAE)

  Mar 2021 - Nov 2022

  AI Software Engineer

  Developed a NLP-based machine learning solution using a large number of health related user queries to automatically identify the top concerns & pain points of the consumers.Key Achievements:- The solution was able to identify the top 20% of issues and complaints that were responsible for 80% of the total tickets generated.*Payroll - Intertec Systems, Dubai

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  DP World

  Nov 2022 - now

  Data Scientist

  - Developed a ML model to predict the time spent by containers in the port. The model helped optimizing the stacking order of the containers saving 12% of the crane moves.- Developed a forecasting model to estimate the cashflow generated from various port terminals of DP World. This advanced model improved the RMSE by 25% compared to the existing ARIMA based model.