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Kumar (RID : 210uloo0egnl)

designation   Data Scientist

location   Location : Bengaluru, India

experience   Experience : 14 Year

rate   Rate: $14 / Hourly

Availability   Availability : Immediate

Work From   Work From : Offsite

designation   Category : Information Technology & Services

Shortlisted : 1
Total Views : 48
Key Skills
Data Scientist AQL PL/SQL JAVA Python
Discription

Kumar Nishant

Senior Data Scientist

 

 

 

 

 

 

 

Professional Summary

 

I have over 14 years of experience in Software Development, with more than 12 years in the field of Data Analytics across multiple industries – IT, Banking and Automotive. I have a master’s degree in Data Science and Engineering from BITS, Pilani, where my dissertation work consisted of applying unsupervised learning methods to verify the performance of Autonomous Emergency Braking System.

I enjoy and excel in development and deployment of Data Science (ML, DL) solutions on Cloud platform. I also have experience in

leading Data Science teams and managing delivery of Data Science projects.

 

 

Key projects      ·        A Machine Learning model for predicting battery health of a Battery Electric Vehicle (BEV).

  • A self-serve analytics solution for Monitoring and Diagnostics of Field Test vehicles.
  • A Forecasting model for Vehicle Lifetime Productivity for fleets of vehicles.

 

 

Tools and Techniques

 

Category                                      Technology

 

 

Operating Systems                        Linux, Windows, z/OS

 

 

 

ML Deployment                                         Azure DevOps, Azure ML, ML Flow

Languages                                       Python, SAS, SQL, PL/SQL, JavaScript

 

 

 

 

Project Management                                 JIRA

Version Control                                BitBucket, GitHub

 

 

 

Microservices                                              Flask, Shiny, FastAPI

Documentation                                           Confluence

 

 

 

Visualization tools                            PowerBI, SAS VA, Tableau

Other dev tools                               Spark, Hadoop, Scikit-learn, TensorFlow, Keras, PyTorch, Azure Databricks, JupyterHub, Visual Studio, SAS Suite

 

 

ML Algorithms                                             Regression (Linear, Logistic, Ridge, LASSO, Elastic Net), Classification, Decision Trees

(CART, CHAID), Random Forest, Neural Networks, Clustering (K-means, hierarchical clustering, GMM, DBSCAN, Spectral), Gradient Boosting, Dimensionality reduction (PCA, t-SNE), SVM, Sentiment Analysis

 
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