Gaurav Sharma

Gaurav Sharma

Data Enthusiast | Engineer | INTJ

Indian School of Business

Biography

Without data you’re just another person with an opinion. - Edward J Deming

I am an Engineer and a Data Enthusiast. Before moving into Data Analytics, I spent a considerable time at Shop Floor in Automotive Industry. I am fairly exposed to Manufacturing and have a diversified work experience in various domains ranging from Industry 4.0 and Factory Digitization, Planning & Operations, Asset Maintenance and IT. My recent work interests are into building factories of the future. I use data and analytics to solve business problems in Manufacturing as my inclination is more towards decision making using data rather than making data products.

I live in Jaipur, India with my family, was born and brought up here and have spent a large part of my life here. Reading is my favorite thing to do when I am at leisure. Though I enjoy reading everything, nonetheless, Ancient to Modern History, Mythology and Religion, Human Evolution, Human Psychology are the genres, I generally prefer to read. Writing, Skygazing, Travelling are some of my other interests.

If you are interested in knowing more about my data related projects or my interests, do check various sections of this website. Please feel free to reach out to me on my social media handles given on the side bar in the left. You can also contact me via contact form available at the bottom of this page. Thank You..!

Happy Learning..!!

Interests

  • Factories of the Future
  • Industry 4.0
  • Manufacturing Analytics

Education

  • AMPBA in Business Analytics, 2019

    Indian School of Business, IN

  • B.E. in Electronics & Communication, 2008

    Jaipur Engineering College & Research Centre, IN

Skills

Data Science

Machine Learning

Statistics

R

Industry 4.0

System Implementations

Experience

 
 
 
 
 

Manager - Digitization

National Engineering Industries Ltd.

Apr 2017 – Mar 2019 Jaipur, IN

Managed Digitization Projects under Smart Factory Initiative with a Data Driven approach. Created PoCs and built Manufacturing Analytics use cases in manufacturing shop floor using advanced statistical and modern machine learning (supervised and unsupervised) methods. Responsibilities include:

  • Data Mining and Modelling
  • Statistical Analysis
  • Conducting PoCs
  • Project Management
 
 
 
 
 

Manager - O&M

National Engineering Industries Ltd.

Apr 2013 – Mar 2017 Jaipur, IN

Responsible for achieving /surpassing departmental KPIs such as Availability, MTTR, MTBF by using continuous improvement (TPM/TQM) tools and methodologies. executing improvement projects and new equipment installations, adherence to TPM standards., reduce downtime and maintenance cost, identification and execution of cost reduction projects Responsibilities include:

  • SAP PM Implementation
  • Reliability Centered Maintenance (RCM) Implementation
  • Outsourced Services (AMC) Administration
 
 
 
 
 

Engineer - O&M

National Engineering Industries Ltd.

Aug 2008 – Mar 2013 Jaipur, IN
Full operational responsibility of electronic maintenance & planning of Industrial Equipment and Machinery, Robotics Automation, Industrial Automation, PLC Data Acquisition System. Overall responsible for department’s planned and unplanned maintenance program which includes breakdown, preventive and predictive maintenance planning and execution.

Recent Posts

A Bagged Tree Model on Astronaut Mission Dataset in R

An example of Regression using Bagged Tree and Tidymodels in R
A Bagged Tree Model on Astronaut Mission Dataset in R

A Classification Model on Volcanic Eruptions in R

An example of Multinomial Classification using Random Forest and Tidymodels in R
A Classification Model on Volcanic Eruptions in R

A XGBoost Classification Model on Beach Volleyball in R

An example of Classification using XGBoost and Tidymodels in R
A XGBoost Classification Model on Beach Volleyball in R

Data Exploration on Food Consumption and Carbon Emission Dataset in R

An example of Tidyverse framework usage for data exploration in R
Data Exploration on Food Consumption and Carbon Emission Dataset in R

Dimensionality Reduction on Cocktail Data in R

An example of Dimensionality Reduction using PCA and UMAP with Tidymodels in R
Dimensionality Reduction on Cocktail Data in R

Projects

Contact