Experience

QuickAI

• United States
• Software Development
• 1 - 100 Employee

• Data Science Lead | Co-Founder

  • Nov 2021 - Present



CoFoundUp

• United States
• Technology, Information and Internet

• Data Science Lead | Co-Founder

  • Jan 2021 - Present



Kantar

• Market Research
• 700 & Above Employee

• Senior Director

  • May 2018 - Jan 2021

  - Worked as main analyst in the inter-agency to develop new Socio Economic Classification (SEC) system for Market Research Society of India (MRSI).- Developed SEC system for Market Research Society of Sri Lanka (MRSSL).- Worked on CSD pricing studies in Morocco and Algeria.- Conducted a research study for client to find out whether Van Westendorp's Price Sensitivity Meter (PSM) could be used online and without price prompt.- Conducted training sessions across Kantar India offices on topics: BIP, Correspondence analysis, CCM, Hypothesis testing, Sampling, Multivariate analysis techniques, Time series.- Worked on driver analysis projects using Bayesian Belief Network.- Working on development of WebApp using Python, Django, RxJS and D3.js. The idea is to host many apps in one place with enhanced speed, security and cutting-edge data visualisation.- Working on Harmonisation of size of Socio-economic classes with census. Show less

• Insight Director, Statistical Modeling, Marketing Sciences

  • Jul 2013 - Apr 2018

  Key role: Innovation in pricing and other market research techniques, Statistician- Responsible for designing and modeling of non-FMCG pricing projects of all Kantar India offices.- Worked on several FMCG projects including Cold drinks pricing studies in Morocco, Egypt; involved in designing and analysis of these studies to create a representative market simulator.- Developed a method of simulations for choice based conjoint(CBC) studies to rectified long standing "Red Bus Blue Bus" problem in multinomial logit model.- Member of core team that developed a method for non-FMCG pricing to handle a large number of attributes in a conjoint study. It helped our firm to increase its client base in the automobile sector.- Automated many time consuming and recurrent steps for self use and for our organisation. Also created user-friendly apps in R-Shiny and VBA for complicated analytical methods. - Created a tool in R which can be used to replicate excel based pricing simulator into an R/C++ based simulator, which increased the simulation speed by 250 times. The increased speed of this simulator is useful to solve optimisation problem.- Implemented genetic algorithm for optimisation in R, which can be used to find optimal product and its price from pricing simulator.- Oversaw designing and analysis of MaxDiff projects of all offices of Kantar India.- Worked on segmentation studies for automobile sector using factor analysis and k-means.- Co-authored a research paper which is about correction for higher levels of non-response in extreme upper and lower affluence groups in a society. Presented and won award for the paper in IIM-Lucknow EMCB Conference 2017. Show less

• Manager, Statistical Modeling, Marketing sciences

  • Jun 2012 - Jun 2013

  Key role: Statistical modeling for projects and improve market research methodsCreated a unique technique to present Correspondence analysis result in a plot (CCM). Implemented it in R. Run this tool for several projects.Extensively worked on several pricing projects. Work includes Field visit, Qre design, Conjoint design, modeling and create market simulators.

• Consultant, Statistical modeling, Marketing Sciences

  • Oct 2011 - May 2012

  Key role: Statistical modeling for projectsWorked on Conjoint projectsWorked on a method to calculate of area covered by retail stores.Field visits for conjoint projects.Run correspondence analysis (CA) for projects. Researched about CA. Explain interpretation of the results to client servicing teams.



Indian School of Business

• India
• Higher Education
• 700 & Above Employee

• Intern

  • Aug 2011 - Sep 2011

  Econometrics Econometrics



Bravo Lucy As

• Norway
• Software Development
• 1 - 100 Employee

• Devloper

  • Nov 2009 - Jul 2011

  Key role: In depth investigation, development and implementation of statistical and optimization techniques for providing model solutions to supply chain management problems - Used EM algorithm for uncensoring ‘sales data with stock out’ to represent true demand. - Created and implemented new exponential smoothing methods for higher robustness in prediction of multivariate time series data with high homogeneity among variables. - Researched and modeled a new breakthrough optimization algorithm to generate optimum routes from warehouses to retail shops under standard constraints. Key achievements: - Optimized various codes for speed, stability and scalability on R achieving 75% reduction in run time - Self-learned perl language to eliminate dependence on system testing team reducing turnaround time significantly Show less



National Institute of Public Finance and Policy, New Delhi

• Research Services
• 1 - 100 Employee

• Consultant

  • Jun 2009 - Nov 2009

  Key role: Conduct statistical analysis and prediction of macroeconomic variables of India. - Time series analysis of macroeconomic variables using R and X-12-ARIMA, involving outlier removal, seasonal adjustment and modelling of the same to eventually aid in forecast of GDP. - Automation of the process of updating website http://www.mayin.org/cycle.in displaying seasonally adjusted macroeconomic variables and technical reports with various graphs using Sweave, R and X-12-ARIMA on Linux OS. Key role: Conduct statistical analysis and prediction of macroeconomic variables of India. - Time series analysis of macroeconomic variables using R and X-12-ARIMA, involving outlier removal, seasonal adjustment and modelling of the same to eventually aid in forecast of GDP. - Automation of the process of updating website http://www.mayin.org/cycle.in displaying seasonally adjusted macroeconomic variables and technical reports with various graphs using Sweave, R and X-12-ARIMA on Linux OS.



National Institute of Public Finance and Policy, New Delhi

• Research Services
• 1 - 100 Employee

• Summer Intern

  • 2008 - 2008

  Predict inflation and seek early warning of inflation based on previous year data of WPI using regArima method and other time series techniques. Predict inflation and seek early warning of inflation based on previous year data of WPI using regArima method and other time series techniques.



CSO (Central Statistics Office Ireland)

• Ireland
• Government Administration
• 700 & Above Employee

• Summer Intern

  • 2007 - 2007