Experienced in Opportunity consolidation & prioritization , portfolio sizing and recommendation to capture values across geographies in Pricing tactics with an aim to make clear and strong business impacts. Strong Exposure in building, scaling up , deployment , sustenance and visualization of analytical models for complex business strategies.Developing fit for purpose solutions in the domain of price volume optimization , price elasticity analysis for B2B and B2C markets, win/loss contract analysis and prediction , demand forecasting , customer segmentation, value based pricing , ratability and seasonality analysis.Drive to achieve effective results through strong collaborations with the business teams, having key focus on customer engagement and being adaptable to business requirement, time commitments , and changing business priorities.

Team lead of a group of data scientists, developing and deploying end to end analytics solutions for business. My role involved Identify and develop data science use-cases through business partner interfacesCollaboration with external consultants and client stakeholders to understand the business and objectives. Bring in both subject matter expertise as well as data science skills to translate business problems into structured & solvable statistical Problems. Prioritizing the projects based on value proposition, data availability, effort and success probability. Designing & deploying robust solutions using the right algorithm from a host of techniques such as regression, classification, pattern recognition, recommendation , clustering, anomaly detection algorithms etc. Experience in developing solutions for diverse use cases such as 1. Asset & Quality Management Projects :Predictive Modelling for Product Quality Management of steels for automotive skin panels. Developed Auto Decision Making Application ( both web / stand alone ) for Quality Assurance Team using tree based algorithms.2. Process Improvement Projects Casting Speed Optimization for throughput Improvement using recommendation algorithmsSuper Heat Optimization to predict Temperature drop & reduce waiting time of Ladles using regularized regression algorithms. 3. Finance & Accounts Projects Cashflow Forecasting on Daily basis to facilitate business to minimize opportunity loss as well as reduce interest accrual using dynamic regression. 4. Text analytics for topic modelling to identify the white spaces in patents for new steel developments 5. Coal Pilferage Detection through Image analytics using Convolutional Neural Networks ( CNN )6. Supply Chain & Optimization Projects :Mother coil slitting optimization7. Coke blend optimization based on sales forecast and production planning8. Throughput improvement at mines by minimizing queuing time & optimum allocation of fleet

1. Fracture Mechanics & Fatigue Life Evaluation: (2012-14)Experimental testing and modeling of elasto-plastic parameters (J-integral), CTOD & CTOA for fracture toughness measurement Statistical Characteristics of Fatigue data using Weibull distribution ; Design and program of variable amplitude Loading using RFC 2. Digital Image Correlation (2012-2014)Developed a unique algorithm to accurately determine crack tip position during fracture followed by implementation in Python/Matlab . Application of image processing for stress-strain field evaluation in welded joints3. Welding & solid state joining of Materials (2012 – 2014)Prediction of Welding Joint Strength and Bead Geometry in Pulsed Gas Metal Arc Welding using Optimization of quality characteristics parameters in a pulsed metal inert gas welding process using Taguchi method