Avishek R.

Avishek R.

Assistant Engineer

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location of Avishek R.Kolkata, West Bengal, India

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  • Timeline

  • About me

    Manager at PwC India | Advanced Analytics | GEN AI | Machine Learning | Demand Forecasting | NLP | Python | SQL | Power BI

  • Education

    • Jalpaiguri Government Engineering College

      2011 - 2015
      Bachelor of Technology (BTech) [WBUT]
  • Experience

    • GANNON DUNKERLEY & CO. LTD, Kolkata

      Aug 2015 - Apr 2017
      Assistant Engineer

      • Prepared various strategies for all planning activities for and also monitoring/tracking project progress, and writing up reports.• Created an excel based forecasting model to predict the upcoming requirement of raw materials.

    • Myntra

      Jun 2017 - Jul 2017
      Consultant

      • Worked closely with customer experience team and also resolved customer queries quickly and efficiently.• Generated daily reports and analysis customer experience data to enhance more quality.

    • DhiOmics Analytics Solutions

      Oct 2017 - Jun 2021

      •Deployed a NLP based SVM classifier of 1K classes using tf-idf vectorization method to optimize the search engine and enhance the user experience even 5X more quick response with 85% accuracy. •Developed a web base fraud detection application mainly for Auto Insurance industries to detect the fraud customers and also predict the probable fraudulent amount using multiple regression and classification models on different cloud environment like GCP/VE and able to achieved an accuracy of 97% in fraud detection. Show less •Created an Auto ML Framework for demand forecasting using traditional time series models and also used machine learning & deep learning algorithms. Introduced multistep forecasting techniques along with walk forward validation method with various accuracy metrics like MAPE, RMSE, SMAPE and achieved almost 2-3% MAPE in CPG industries.•Analysis of the whole process of Booking to Revenue walk and created a new Power BI dashboard with all possible KPIs in a single platform to explained every parameter which are impacting Bookings to Revenue gap for all kind of Stakeholders of the organization and able to reduce the un-explained gap between Bookings to Revenue from $19M to $1.7M.•Performed anomaly analysis to identify issues with process parameters which lead to defects as part of continuous casting process in steel manufacturing. Built data pre-processing modules to perform meta data analysis and data imputation activities for sensor data for multiple process parameters (Casting speed, oscillation current, tundish weight etc.) Show less

      • Senior Machine Learning Scientist

        Jan 2020 - Jun 2021
      • Machine Learning Scientist

        Oct 2017 - Dec 2019
    • PwC India

      Jun 2021 - now

      •Understand the business problem, design the analytical solution, and implementation of algorithms for performing predictive & prescriptive analytics.•Developing an automated data migration configurator for one of the largest database management client using Python and SQL.

      • Manager

        Jun 2024 - now
      • Senior Associate

        Jun 2021 - Mar 2025
  • Licenses & Certifications