Atul Anshuman Singh

Data Scientist

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Profile


About me

I'm a Data Scientist with deep understanding of advanced Machine Learning and Deep Learning concepts. I have experience of sucessfully applying AI techniques to solve complex business problems and deploy them in production environment.

Atul

Details

Name:
Atul Anshuman Singh
Age:
26 years
Location:
Gurugram, National Capital Region
India
Email:
atul.anshuman2013@gmail.com

Phone:
+91 - 9625553005




Experiences


Educations

Netaji Subahs Institute of Technology, Delhi University

Jul 2012 - Jun 2016

75.9 %, First Class with Distinction

Bachelors in Engineering (B.E.), Electronics and Communications Courses taken: Probability, Statistics and Random Processes, Signal Processing, C++, Data Structures and Algorithms

Kendriya Vidyalaya

Apr 2009 - Mar 2011

Higher Secondary School Examination - CBSE Marks obtained: 89.6 %

Kendriya Vidyalaya

Apr 1999 - Mar 2009

Secondary School Examination - CBSE Marks obtained: 90.4 %


Careers

United Airlines

Jun 2019 - Present

Analyst - Data Scientist Projects
Travel Inspiration:

  • Developed Colaborative Filtering based recommendation engine to recommend inspiring destinations to United's 14M customers
  • Model generated ~ $ 3M incremental revenue in the first 3 months of deployment
  • Created real time model monitoring dashboard to capture metrics such as click-through rate etc.
  • Project currently live at United.com
Gurugram, Haryana | https://www.united.com

United Airlines

Nov 2017 - May 2019

Analyst - Enterpise Analytics Projects
Fresh Food Forecasting:

  • Developed GBM based regression model to predict flight level demand for fresh food
  • Model reduced food wastage by ~70%
Gurugram, Haryana | https://www.united.com

United Airlines

Jul 2016 - Oct 2017

Associate Analyst - Enterpise Analytics Projects
Seat Re-accomodation Impact Analysis:

  • Analysed the impact of seat-reccomodation on Customer Satisfation (CSAT) score
  • Carried out correlation analysis to seggregate impact of flight delays and irregular operations etc. to uncover the true impact of seat reaccomodation
  • Presented the findings to Managing Director, Merchandising
  • Made recommendations to enhance the seat re-accomodation engine
Technical Operations Scorecard:
  • Developed detailed system-wide technical operations performance scorecard for Tech Ops VP and 900+ station managers across the Globe
  • Daily automated scorecard outlines station performance on critical TechOps parameters such as A14, D0, STAR Delays etc.
  • Report forms essential part of the leadership decision making process
Gurugram, Haryana | https://www.united.com

Projects

“What I cannot create, I do not understand”
- Richard Feynman


Seq2Seq Neural Machine Translation

Transformer Based Neural Machine Translation

Sequential Minimal Optimzation Based Support Vector Machine

Gradient Boosting Machine: AdaBoost

Singular Value Decomposition

SVM Using Predictor Corrector Interior Point Method

Bunch-Kaufman LDL Decomposition

Simple Autoencoder

Simple Generative Adverserial Network

VGG 19 Based Neural Style Transfer