Consultant
EXL Services
Total years of experience :4 years, 6 Months
• Built probability of default models using XGBoost for customer and business for a major business lending firm, improved GINI score by ~2% with the help of Bayesian optimization
• Performed binning and information value analysis for feature selection, created reports using various accuracy metrics, confusion matrix, SHAP and LIME plots to interpret best models
• Worked on multi touch attribution models in marketing, increased attribution to upper funnel channels by ~14% for a major US banking institution
• Developed models for multiple products for US and international markets using Seemingly unrelated, Ridge, Linear and Bayesian regressions
• Created multiple dashboards analyzing impressions and spends at yearly and quarterly level using Tableau, performed feature selection of core business variables for robust models
• Helped extract core, external variables and automate feature engineering using Python, SQL and HIVE scripts
• Provided solutions to optimize spends on different channels in marketing, simulation with optimized budget improved sales by ~3%
• Created multiple regional and national level market mix models for several medicative products for Indian markets using Bayesian regression
• Built national level linear regressive market mix models for a leading international QSR in the Netherlands region
• Helped to build simulation tool to allocate budget and predict sales of multiple budget scenario using Python
• Made reports and analyzed trends of data for null analysis, regional/ national level exploration, seasonality investigation using Excel and Power BI
• Automated preprocessing (Adstock, carryover, lag) of data using Python to make models which are suitable to business context
• Identify, analyze and eliminate the risk/fraud, which arises due to the use of debit cards/credit cards/e-checks/store cards/gift certificates on Amazon.com, Amazon.ca and Amazon.co.uk Platforms by applying the analytical skills along with the use of the tools provided.
• Created visually impactful dashboards in Excel and Tableau for data reporting by using pivot tables and VLOOKUP.
• Extracted, interpreted and analyzed data to identify key metrics and transform raw data into meaningful, actionable information using SQL and Power BI.
• Worked on creating skill-repository functional page using python Django, HTML and CSS for transaction risk department to store additional details of Amazon employees.
Activities and societies: 1. Chief Designer of Renesa (college magazine) 2017-1019, 2. Participated in the Inter NIT Football Tournament 2016, Agartala 3. Winner of IGNIS Football Tournament 2018, SuratActivities and societies: 1. Chief Designer of Renesa (college magazine) 2017-1019, 2. Participated in the Inter NIT Football Tournament 2016, Agartala 3. Winner of IGNIS Football Tournament 2018, Surat Electives: Robotics, Cleaner production and technology, Marketing Management, Design and Management of Small Scale Enterprises Final year project 1. Design of various baffle arrangements to increase the effectiveness of the heat exchanger. Our team was able to increase the effectiveness of the heat exchanger by 4% by using the baffles designed by us. Software used- Solidworks, ANSYS Fluent 3.0 Individual projects 1.Solar PV integrated power generation systems in various parts of India Discussing case studies of Solar PV and Biogas Hybrid Electrical Power Generation for a Remote Place,8kW grid-connected Solar Rooftop Photovoltaic Power Plant in Davangere using PVsyst. 2. Modular Origami Robotics and its application Discussing the potential of Origami robots and their applications
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