Senior Data Scientist

Ankit Kamboj

Email: **************@*****.*** Mobile: +91-933******* LinkedIn: https://www.linkedin.com/in/ankit-kamboj/ Executive Summary

Experienced Data Scientist with a demonstrated history of working with varied problems. Skilled in Statistical analysis, Predictive modelling, Machine Learning, Business analysis and Management. Worked on many Data Science problems like Multivariate Time Series Forecasting, Class Imbalance Classification, Clustering Techniques, Text Mining and applications of Deep Learning in Computer Vision along with coding platform in Python and R. Passionate about using data driven decisions with my strong analytical aptitude, logical approach of problem solving and excellent communication skills. Roles

Senior Data Scientist, Cummins Inc. May 2019 – Present Data Scientist, Cummins Inc. Jan 2017 – April 2019 Data Science Intern, Zouk Loans May – July 2016

Quant, Mathematics and Reasoning Trainer, Time Coaching Feb – May 2015 Mathematics Research Intern, IIT Hyderabad June – July 2012 Education

M.Tech Quality, Reliability and Operations Research, Indian Statistical Institute Kolkata - 75.40% June 2015 – July 2017 B.Tech (Electronics and Communication, extra credit courses in Mathematics, LNMIIT Jaipur- 74.30% June 2010 – July 2014 Analytics Projects

Proactive Failure

Prediction (In

collaboration with

McKinsey)

While being on-site (US), Delivered $12M of savings to Engine Business Unit and avoided over 4000 days of downtime for customers by using a machine learning model to identify high-risk engines in the field and guiding the Sales team in running a targeted campaign

Developed Semi Supervised Algorithm to increase training data for better predictions

Generalized the model for reliable predictions by analyzing co-variance shift in predictors Attrition Risk

Prediction

Done predictive analytics on HR data to identify high-risk population for retention strategies

Processed the data from different sources and build machine learning classification models

Interpreted ML models by SHAP & Surrogate Decision trees to derive strategic business insights Computer

Vision

Built an end to end object detection algorithm using advanced deep learning algorithms like YOLOv3 and SSD to recognize persons not wearing helmets in a manufacturing plant

Optimized the mean Average Precision from .4 to .65 by implementing relevant augmentation techniques to increase the training data and by improving image annotation approach Class Imbalanced

Classification

Problem

Worked on highly imbalanced classification problem and built a clustering algorithm on the majority class and by combining each sub-group of majority class with bagged minority class to generate balanced training data and maintain data diversity

Built automatic claims classification algorithm to speed up the process of getting labelled samples

Implemented a keyword search logic along with proximity of negation words for classification Text Analytics Currently working on developing chatbot for various IT applications (Remedy/company policies)

Exploring more on Seq2Seq models for contextual relevance and other Q&A type algorithms Paper publications/ Abstract

Multivariate Time

Series Forecasting

Paper on “Macroeconomic Statistical Forecasting for Engine Demand” at URoS 2018, Netherlands.

The paper explains multivariate forecasting using statistical pre-processing of macro-economic indicators and identification of significant lags of predictors

Developed a framework to measure three months out statistical forecast of engine demand Achievements

Topper in Mathematics and Applied Mathematics courses in undergraduate studies resulting in internship at IIT Bombay

(Recommended by Prof. S.K Gupta, Disguised retired Professor of IIT KANPUR)

Cleared Indian Statistical Institute entrance exam (2015) in M.Tech QROR and was among the top 16 students who cleared this highly competitive exam for masters

Winner, Alok Bhatia Mathematical Regional Olympiad from 2002 to 2005

Conducted Campus hiring for interns in Advanced Analytics Team, Cummins from ISI Kolkata/Bangalore

Lead and grow the Data Science & Machine Learning team with interns to identify, implement, and present results of research on novel ways how machine learning approaches can improve decisions and analytics solutions

Transformed the true value of data as perceived by the organization by proving the value of data-based decision making

Improved models built by other analytics teams and further trained them to effectively work on data science problems

Got Recognized as the employee of the year consecutively for two years among all advanced analytics teams globally Technical Skills

Programming Languages – Python, C, SQL, LaTeX

Statistical Software – R, Minitab, MATLAB

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