Divyanshu Suri Email & Phone Number

Gurugram, Haryana, India

Gurugram, Haryana, India

Gurgaon, India

Gurgaon, India

Gurgaon, India

Gurgaon, India

Developed Risk Segmentation Model for Commercial Property Insurance.

Gurgaon, India

Developed Risk Segmentation Models for different Commercial LOBs.Developed Quote to Bind Models for different Commercial LOBs.Participated in DMA 2013 Competition and came 8th out of 250+ Teams.

Gurgaon, India

Implemented challenging assignments like Class Plan Development, Demand Modeling, Price Elasticity / Optimization Analysis, Analytical Rating Engine etc.Undergone an intensive training on Hadoop and getting hands on experience.Have received written and verbal appreciation from senior management within the organization as well as from VP level clients onshore.

Gurgaon, India

Predictive modeling experience: • Demand Modeling (Personal Auto Insurance)o Quotes Conversion (New Business acquisition) Rate modeling and Price Elasticity analyseso Mid-term cancellation modelingo Retention modeling• Demand Modeling ( Commercial line)o Retention modeling using logistic regression.• Performance Analytics: o Effectively monitor the performance for Personal Lines business through modeling the loss experienceo Benefits Calculation done to… Show more Predictive modeling experience: • Demand Modeling (Personal Auto Insurance)o Quotes Conversion (New Business acquisition) Rate modeling and Price Elasticity analyseso Mid-term cancellation modelingo Retention modeling• Demand Modeling ( Commercial line)o Retention modeling using logistic regression.• Performance Analytics: o Effectively monitor the performance for Personal Lines business through modeling the loss experienceo Benefits Calculation done to correct the inequity present in the Class Plan. This is achieved through combining the results of Loss Ratio and Issue Rate models. o Used GLM modeling and CART (Decision Tree) to identify and quantify the inadequacies in the personal auto Class plan.Project Management:• Organizing / conducting training sessions & in-house forums to boost the technical and soft skills of associates.• Creating and sustaining a dynamic environment that fosters development opportunities and motivates high performance amongst team members.Other Relevant Projects/Accomplishments:• Developed a new sampling technique which allows user to extract a sample from a dataset with desired distribution of key variables (using SAS macros).• Created several computationally efficient SAS macros, like calculating Gini coefficient of a model, binning variables into buckets, calculating actual versus predicted for variables, currently used by my team members to aid them in their client projects.• Analysed Twitter data in SAS by first converting tweets into SAS data and then performing various pertinent tasks (like extracting the number of followers and their information, the number of tweets from friends and followers etc). Similar analysis is being done for Facebook as well.• Conduct regular training sessions for new hires in DA on “Basic Statistics” – explaining statical terms and concepts - as a part of “Methodology” initiative.• Conduct training sessions on various SAS methodologies including Macros and various Procedures. Show less

 Analyze information about the economy and the consumers at extremely granular levels - city, district levels, and neighbourhood levels. Within the granular geographic levels, the information is further segmented into various income groups. Estimate the data using various techniques like mathematical modelling, econometrics etc. Contribute in the product development providing econometric and statistical analysis of the Indian economy. Specialization - working with large… Show more  Analyze information about the economy and the consumers at extremely granular levels - city, district levels, and neighbourhood levels. Within the granular geographic levels, the information is further segmented into various income groups. Estimate the data using various techniques like mathematical modelling, econometrics etc. Contribute in the product development providing econometric and statistical analysis of the Indian economy. Specialization - working with large economic, geographic, demographic and financial databases. Performing various statistical analysis of the data sets on the STATA software. Show less

Conducted extensive statistical analysis on large sets of biological data to find discontinuous epitope sites in protein sequences. Implemented and analyzed data-sets using a wide array of statistical approaches, in particular, (i) Data mining techniques using Support Vector Machines (SVM) to segregate data into different classifications, (ii) Bayesian approach to find position-specific probability (PSP) of amino acids, and (iii) Regression analysis to find threshold of PSP in a… Show more Conducted extensive statistical analysis on large sets of biological data to find discontinuous epitope sites in protein sequences. Implemented and analyzed data-sets using a wide array of statistical approaches, in particular, (i) Data mining techniques using Support Vector Machines (SVM) to segregate data into different classifications, (ii) Bayesian approach to find position-specific probability (PSP) of amino acids, and (iii) Regression analysis to find threshold of PSP in a protein sequence. My qualitative and quantitative analysis established significant results pertaining to Immunoinformatics and drug-designing. In fact, this approach yields one of the highest prediction accuracy to find the epitope sites in protein sequences. The initial results are already published in a leading international bio-informatics journal and subsequent findings are under publication process.Publications:___________Rajani R. Joshi, Archana Prabhakar and Divyanshu Suri.(2009) Comparison of B-Cell Epitope Prediction Algorithms Shows Superiority of SVM-Based Statistical Computations. (Communicated)Rajani R. Joshi, Upal Hira and Divyanshu Suri.(2009) Gibbs Sampling Shows Possibilities of B-cell Epitope Signatures. Protein and Peptide Letters, Volume 16, Number 11, November 2009 , pp. 1393-1398(6) Show less

Conducted tutorials and seminars as a paid teaching assistant for a statistics course (IC102 - Data Analysis and Interpretation) for B.Tech students at IIT Bombay.

Ms, Applied Statistics

Bachelor Of Science (Bsc), Statistics

Education record