 Supported as technical AI/ML lead in the creation of chatbot using rasa framework Worked with Cigna to optimize and improving efficiency for their claim settlement procedure. Helped them to identify key areas of concerns in their process along with recommendations. Worked on solutioning on aspects like computer vision, NLP, forecasting etc. Used advanced pre trained models like bert, resnet, googlenet, RCNN, fast RCNN, Yolo etc. Helped and guided juniors in the learning of advanced data science and ML algorithms and application.  Supported the team to prepare a lot of POCs for data science and hence boosted chance of getting more revenue.

- Working on creating new and innovative solutions using advanced Machine learning, Deep learning and Natural Language processing algorithms. For Eg - Identification of tipping point, generating insights from text data etc.- Running Market Mix Modeling to optimize client media expense and simulate for different scenarios resulting in maximum revenue- Expertise on Structural equation modeling to identify route for activating any theme in the market. - Using Maxdiff and Discriminant analysis to build pseudo algorithms for identification of segments in the market- Using advanced text analytics to profile social media data into different pre identified segments- Tree based modeling to deep dive into data to identify targettable groups

• Providing end to end modeling solutions to the client’s business problems with a structured and rational approach.• Provide strategic input to help shape strategic and business plans for the team.• Partnered with internal client consulting team to shape out a new service which reduced the project cycle time to a significant extent and thereby helped the business immensely.• Significant knowledge of time series forecasting using ARIMA, FBprophet, and LSTM. • Collaborated and lead a cross-team python based open learning initiative.• Managing daily workload to ensure balance and efficiency.• More than 2 years of experience in managing reports

• Applied advanced level of knowledge in conducting research using the appropriate methodology and design.• Used path modeling using Bayesian belief network and structural equation modeling to identify the exact road map for the client problem.• Ensuring timely delivery of research projects through adequate workflow planning and organizing• Has a strong expertise on the working of Latent class clustering and Regression using latent gold.• Mentors and provides guidance to peers and team members; navigates through obstacles to resolve escalated issues of an unusual nature.• Performed R&D on varied types of Normalization techniques and correlation methods that can be applied on the data. Work was well appreciated by the leads and helped us to justify the methodology in place.

• Analyze and interpret business problems using key driver analysis, segmentation, uncovering white space in the category, brand performance charts, and helping clients to understand areas to innovate.• Influence client-decision making by combining relevant and timely analysis of business implications and presenting compelling insights and recommendations.• Used a wide range of techniques like Factor analysis, Cluster analysis, Segmentation, Significance testing, ANOVA, different types of regression analysis like Logistic, Ordinal, Respondent level(Using Latent Gold).• Pro-actively worked on process improvement and saved a lot of time to the business.