Sabyasachi Purkayastha
Assistant Vice President Senior Associate -quant Analytics & Data Science(Spatial Non-spatial) - Ccb @JPMorganChase
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WORK HISTORY
Assistant Vice President Senior Associate -quant Analytics & Data Science(Spatial Non-spatial) - Ccb @JPMorganChase
Bangalore, IN
Distribution & Market Planning# Distribution & Geospatial Data Sciences
EDUCATION
CEPT University
Master's degree, Geomatics Engineering
Shri Mata Vaishno Devi University
Bachelor of Architecture (B.Arch.), Architectural Engineering
Modern School
Secondary School, science
Hislop junior college
Secondary School, science
SKILLS
ABOUT SABYASACHI PURKAYASTHA
I am a Geomatics & Spatial Data Engineer working at the powerful intersection of data science, geospatial analytics, and business strategy. I specialize in designing advanced analytical models that uncover hidden behavioural, spatial, and economic patterns—transforming raw data into actionable insights that drive growth, efficiency, and competitive advantage.With 7+ years of experience across Consulting, Real Estate, Retail, and Banking, I build models that explain customer behaviour, predict market potential, optimize store/branch networks, and quantify the impact of the built environment on business performance. My work blends hard analytics, spatial science, and complexity modelling—enabling companies to make high-stakes decisions with confidence.I am passionate about pattern detection, complex systems, and simulation-driven insights, and I regularly work across the full analytics lifecycle—from problem definition to modelling, deployment, and business storytelling.My core technical stack includes Python, Spark, SQL, AWS, ArcGIS/QGIS, GAMA (GAML), Weka, and Advanced Excel, with hands-on depth in spatial modelling, machine learning, and simulation.Core Competencies & SpecializationsCustomer & Market Analytics • Customer profiling, segmentation, and acquisition modelling • Market basket analytics & behavioural clustering • Retail footfall modelling and catchment quantificationNetwork & Spatial Optimization • Commercial retail & bank branch location analytics • Net New Unit growth modelling with cannibalization risk control • Geo-statistics, variance decomposition, spatial regressionMachine Learning & Data Science • Applied ML using Python, Weka, ArcGIS • Classification, regression, clustering, dimensionality reduction • CART model visualisation & interpretation • Residual engineering, bias–variance optimisationSimulation & Complexity Modelling • Agent-based modelling (GAMA/GAML) for complex interactions • Spatial-temporal pattern detection through simulations • Decision modelling under uncertaintyGIS & Geomatics Expertise • Land use/land cover classification • Feasibility & suitability modelling • Best-fit land use planning using GIS • Real estate analytics, CRE deal analysis, micro-market assessmentInvestment & Portfolio Insights • Real estate investment optimization using spatial diversification • Sharpe ratio modelling for portfolio constructionGeo-Marketing & Strategy • Catchment analysis, rental benchmarking & leasing pattern detection • Strategic geo-models for retail and financial services growth
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