Data science professional with experience in Banking, CPG / Retail / FMCG, Insurance, Technology and E-commerce industry, working across projects involving Statistical modeling (both supervised and unsupervised algorithms) like Cluster analysis, Factor analysis, Bayesian Belief Network, Linear / Logistics regression, Decision Trees based on Random Forest, GBM, XGBoost, SVM, SEM, segmentation based cluster analysis, category analysis, drivers analysis, exploratory analysis).
Domains worked: Banking, Technology, CPG, Retail, E-Commerce and Insurance
Tools used: SAS, R, Python, BayesiaLab, Lisrel, SPSS, MS Excel, MS Access, VBA, Spotfire, etc.
Major responsibilities:
– Team Management, Stakeholders management and End to End delivery responsibility
– Pre-sales, clients interactions and presentations
– Proposing suitable statistical solutions, post understanding clients business problem(s) (due diligence) and data availability
– Data preparation, data analysis, building statistical models using various statistical tools
– Work responsibility is also extended to commercial negotiations (involving project scoping, timeliness discussion, preparing project plan and finalizing the cost of the project)
– Attending meeting and discussions with the clients for project updates and issues resolution
– Story building, presenting results to clients and explaining models in statistical as well as in commercial/business terms
– Preparation and delivering of automated tool(s) to simplify the client process(s)
– Documentation and knowledge transfer(training) to new analysts and business people
Highlights:
• All the projects are delivered with high level of accuracy resulting in client appreciation(s)
• Efficiently handled multiple projects for client across time-zones (US, UK, Europe & EMEA)
• Generating insights and recommendations making business sense from the analysis
• Effectively managed teams in the past