Roopesh Ranjan

VP of Engineering

Bengaluru, Karnataka, India20 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Ph.D. in Statistics from University of Washington.
Recipient of Zellner award for best PhD dissertation.
Expertise in Machine Learning and Statistical Modeling.

Stackforce AI infers this person is a Machine Learning and Data Science expert in the SaaS industry.

Contact

Skills

Other Skills

Data AnalysisEnsemble MethodsProbabilistic ForecastingStatistical ModelingLifing AnalysisPower Demand Forecasting and ManagementAlgorithmsPredictive AnalyticsEconometricsStatisticsMachine LearningRStatistical ConsultingData MiningDemand Forecasting

About

Experienced Machine Learning/Data Science leader with about two decades of experience in the field. I completed my Ph.D. in Statistics from University of Washington, Seattle. I am a recipient of Zellner award in 2010 for best PhD dissertation by American Statistical Association across United States. I have a passion for Statistics, Machine Learning & Analytics. I believe in a problem first approach which listens to what the data and the problem has to say as opposed to just using standard techniques. I enjoy teaching and mentoring scientists and data-science professionals. I have worked in a range of areas including, Forecasting, Probabilistic Modeling, Computational Advertising, Large Scale Computing, Causal Inference, Design of Experiments etc.

Experience

20 yrs 4 mos

Total Experience

3 yrs 5 mos

Average Tenure

7 yrs 9 mos

Current Experience

Expedia group

3 roles

Senior Director, Machine Learning Science

Feb 2024 – Present · 2 yrs 2 mos

Leading a team of leaders and scientists at the intersection of Machine Learning, search and computational advertising.

Senior Director, Machine Learning Science

Promoted

Oct 2021 – Jan 2024 · 2 yrs 3 mos

Director, Machine Learning Science

May 2018 – Sep 2021 · 3 yrs 4 mos

Leading a team of ML Scientists/Statisticians working on bidding problems in travel advertising space.

Amazon

2 roles

Senior Research Scientist

Promoted

Dec 2014 – May 2018 · 3 yrs 5 mos

Machine Learning Scientist

Jul 2013 – Dec 2014 · 1 yr 5 mos

Mzaya pvt ltd.

Lead Statistician

Nov 2011 – Jul 2013 · 1 yr 8 mos · Bangalore

At Mzaya, I am responsible for developing a range of power demand forecasting solutions in short-medium and long-term for utilities. I am also working on a number of other forecasting problems related to electricity price, generation etc. The overall goal is enable "Smart" utilities with better power forecasting, scheduling and procurement.

Ge global research

Research Scientist

Jan 2010 – Nov 2011 · 1 yr 10 mos · Bangalore, India

At GE I have been working on a range of analytics problems from various domains. The work involves working with businesses and formulating there research needs in the language of analytics. I have worked extensively on risk and lifing models, fault detection algorithms etc. These have been applied to various GE business with great success. I have also worked on text classification algorithms using various text mining techniques.

Yahoo!

Research Intern

Jun 2008 – Aug 2008 · 2 mos · Santa Clara , CA

In 2008 I did an intermship at Yahoo! Research, Santa Clara. The objective of the internship was to develop models for recommender systems. This helps personalize recommendations made by Yahoo! to its users. We developed a factor based approach using EM algorithm for the problem.

Google

Summer Internship @ Google

Jun 2007 – Sep 2007 · 3 mos · Mountain View, California

During this internsip I worked with search latency data and analyzed what factors affect search latency. The work was useful to engineers trying to optimize latency in different geographies.

University of washington

Research Assistant

Sep 2005 – Dec 2009 · 4 yrs 3 mos · Seattle, WA

Worked as a PhD student in Statistics at University of Washington, Seattle. My work was in the area of Probablistic Forecasting and my thesis advisor was Prof. Tilmann Gneiting. In my research, I have been able to make significant contribution to the subject. Our papers were published in leading statistical journals like Journal of Royal Statistical Society and Journal of Business and Economic Statistics. The Work received the Zellner Prize in 2010 for best PhD thesis in Statistics across United States.