Nitin Lal Das

Experience

• 

  Coal India Limited

  Jul 2010 - Jul 2020

  • Manager

    Jan 2020 - Jul 2020

  • Deputy Manager

    May 2015 - Jan 2020

  • Asst. Manager

    Mar 2012 - May 2015

  • Senior Officer

    Jul 2011 - Mar 2012

  • Management Trainee

    Jul 2010 - Jul 2011
• 

  HP

  Feb 2021 - Jun 2021

  Data Science Intern

  Responsible for creating an End-to-End, Scalable, Prescriptive Planning Tool for Daily and Long-Term Production Planning, incorporating Maximum Utilization of resources, Reducing Capex Expenditure, Machine Health Monitoring and Initiating procurement of Equipment in advance – taking into account the Supply Chain Management demands.

• 

  HP

  Nov 2021 - Nov 2023

  • Digital transformation of team to speed up the insight generation and improve accuracy of predictions by taking majority of products on the cloud. Achieved 70% improvement in Data Science project undertaken to generation of actionable insights.• Consulting internal clients for adoption of cloud based, digitized processes for improved efficiency, reliability and ease of work.• Building Data pipelines to create data products, combining data from multiple platforms with specific business logic for visualization to develop reports and dashboards to visualize and analyze performance metrics. Brought down efforts to refresh data and data stitching by 1200%.• Development of Enterprise Reporting to visualize process and identify precursors to failure. Established new metrics and improved data collection method for existing metrics using dimensionality reduction and feature engineering – resulting in 30% faster identification, giving more time for course correction. • Trained the team on Databricks, S3, Redshift, Python, PySpark, Git and Scrum/SDLC for creating Data products to enable connection to PowerBI, giving a failproof, auto scalable, auto refreshable, end product in terms of PowerBI Dashboards for enabling seamless integration of business and analytics functions.• Incorporating Customer Data, Survey Data, Warranty Data, Manufacturing Data and R&D Data to predict performance and market gaps during the lifecycle of each product using diagnostic, predictive and prescriptive models. Show less

  • Expert - Data Scientist

    Jul 2023 - Nov 2023

  • Data Scientist - Contract (through Quesscorp)

    Nov 2021 - Jul 2023