Leading Product & Technology, integrating 25+ siloed product to build logistics operations system.Stack of ERP/Operational, Planning, Analytics and AI products in a single integrated platform.

As part of Holisol’s investment portfolio company leading Product & Data science @Verdis. Building Agile Supply Chain Decisioning Platform:As Head of Product and Data Science building & leading cross-functional teams of Data Scientist, OR Scientist, Software & Product professionals; Responsible for driving business P&LDisruption in Supply Chain are driven by uncertainty in supply, demand and the ecosystem. As an industry trend, uncertainty is moving from Low to HighAgile… Show more As part of Holisol’s investment portfolio company leading Product & Data science @Verdis. Building Agile Supply Chain Decisioning Platform:As Head of Product and Data Science building & leading cross-functional teams of Data Scientist, OR Scientist, Software & Product professionals; Responsible for driving business P&LDisruption in Supply Chain are driven by uncertainty in supply, demand and the ecosystem. As an industry trend, uncertainty is moving from Low to HighAgile Supply Chain Decisioning Platform➢ Cognitive AI - self learning with dynamic data on same constructs; Evolutionary - adaptable to new scenarios/ business constraints; Integrated Supply Chain Solution (IPA + Pre-game, Game & Post- game Analytics)➢ Decision for: Supply chain dimensions(Time, Product, Location, Cost), Supply Chain Process & Physical Supply Chain; Type of decisions: Operational, Tactical & Strategic; Decision Frame: Just-in- time decisioning, Stochastic decision➢ Supply uncertainty - Human behaviour uncertainty and decision bias,Information asymmetry / lack of single source of truth, Information lag (JIT/Real-time), Resource (Machine/Man) uncertainty; Demand side uncertainty - consumer behaviour unpredictability; Ecosystem uncertainty - Unpredictable environment like Floods, Covid, Policies Show less

Logistics practice leader of strategy and operations consulting practice at Deloitte India. As an innovation leader, spearheading start-up and technology connects. Key projects executed arePublic–Private Partnership (PPP) in Passenger Train Operations-Demand assessment of proposed private train operations across 100+ O-D pairs pan-India-Estimate modal shift from road/air leveraging price elasticity & cross elasticity/sensitivity-Cost-Revenue-Utilization analysis for… Show more Logistics practice leader of strategy and operations consulting practice at Deloitte India. As an innovation leader, spearheading start-up and technology connects. Key projects executed arePublic–Private Partnership (PPP) in Passenger Train Operations-Demand assessment of proposed private train operations across 100+ O-D pairs pan-India-Estimate modal shift from road/air leveraging price elasticity & cross elasticity/sensitivity-Cost-Revenue-Utilization analysis for viability of passenger train for a given O-D pairPrimary Outbound Freight Cost Optimization-Analysis and benchmarking of logistics practice of 20+ plants with 50+parameters-Clustering and Segmentation to come up with statistically significant distance segments(to analyze impact of distance on freight cost)-Sentiment Analytics to analyse perception of stakeholders on company’s business practiceInternational Air Travel Market Assessment Study and Survey for the Hyderabad Airport-Socio-economic assessment and impact on travel-Current Market and Consumer Behaviour Assessment-Statistical model to forecast demand and total market potentialPreparation of National Rail Plan (NRP) for India-Develop a national-level comprehensive strategy and master plan for the railway infra (tracks, terminals and rolling stock) to be created by 2030 with a horizon year of 2050-Enable Indian Railways to develop capacity ahead of the demand by identifying the capacity gaps through comparison between the forecasted capacity requirement and existing railway capacity; modal share shift strategy; prioritization plansOperational Optimization tool for Container/Freight Train Operators (CTOs)-Empowered CTO app with optimal Rail Service Planning, Load Planning, Container Inventory Optimization, Terminal Optimization: Stacking, Unproductive Moves, Asset Deployment for Cost optimization & Efficiency Improvements by minimizing Empty/UF Flows, Unproductive Moves, Improved Transits, Technology enabled decision making Show less

Built & led cross-functional teams of software developers, Operations Research & Analytics, sales, marketing and operations. Responsible for P& L of business.Recognised by Government of India as Innovative & Next Gen start-up, filed 2 patents on optimization. Key projects executed are:Cognitive Transportation Solution-Develop Process Optimization & Automation solutions on Industry 4.0 standards, focuses on connecting things along the value chain to a stage of complete automation… Show more Built & led cross-functional teams of software developers, Operations Research & Analytics, sales, marketing and operations. Responsible for P& L of business.Recognised by Government of India as Innovative & Next Gen start-up, filed 2 patents on optimization. Key projects executed are:Cognitive Transportation Solution-Develop Process Optimization & Automation solutions on Industry 4.0 standards, focuses on connecting things along the value chain to a stage of complete automation i.e. mobilizing people and machines by encapsulating Cyber-Physical Systems (CPS), Internet of Things (IoT)-Trip Planning : Optimal Vehicle - Crew - Load Allocation, Dynamic Routing & Scheduling (based on minimum Cost, Distance, Time), Corridor Optimization, Fund Planning Vehicle & driver life cycle management;- Identify Optimal Cyclic path across all Contracts & dynamic cycles across daily loads/indents- Predictive & Preventive Maintenance ; Maintenance Cost Vs Failure Rate Analysis- Spare Parts Management ( Demand Forecasting & Inventory Management )Logistics Aggregation- Develop logistics platform (marketplace) that seamlessly connects Load providers,Logistics Agents, Brokers and Transporters to improve their vehicle utilization and operational efficiency; solving authorised and reviewed fleet & load discovery , trip efficiency - Network mapping across load providersOptimal Transportation Network Design & Optimization- Develop multimodal transportation network to reduce overall transportation cost & time considering seasonability, dynamic pricing, transport availability, tat constraints- Maximize service level by building optimal transport network Show less

Consultant at PwC - US Advisory Practice; as a part of advance business analytics primarily focused on Optimization projects across Supply Chain, Sports analytics verticalKey Projects HandledSports Scheduling & Optimization• Develop Optimization model to attain optimal sports schedule and minimize the total distance travelled by all the teams; abiding all the constraints stated by NBA• Problem size:30 teams, 82 match each team, across 170 days; 4.5 million… Show more Consultant at PwC - US Advisory Practice; as a part of advance business analytics primarily focused on Optimization projects across Supply Chain, Sports analytics verticalKey Projects HandledSports Scheduling & Optimization• Develop Optimization model to attain optimal sports schedule and minimize the total distance travelled by all the teams; abiding all the constraints stated by NBA• Problem size:30 teams, 82 match each team, across 170 days; 4.5 million variable• Formulated using Python & solved on Gurobi solverSupply Chain Risk Resilience Modeling• Map high-level end to end product flow (tier 1 supplier, manufacturing, distribution); establish baseline model• Determine current risk profile & their resilience on major supply chain components, i.e., Purchasing – Fabric mills and trim suppliers risk ; Manufacturing – capacity constraints Consolidation points – congestion ; Port of Entry – Suppliers and truck boarder entry processGreenfield Analysis & Network Optimization• Conduct Greenfield analysis for Global footprint & optimal production/distribution locations• Distribution network analysisPrimary: Outbound/inter facility transportation and distributionSecondary: Requirements for new or upgraded DCsSecondary: Major inbound logistics to DCs from primary manufacturing and point of entry locations• Network solution: location, product flow, capacity and demand analysis.• High level business case and risk analysis: qualitative and quantitative benefit analysis; top leveloperational risk and sensitivity analysis In vehicle spare-parts optimization • Achieving a maximum ‘First Time Fix’ rate in addressing breakdowns in Cold Drinks Equipment, using historical data to calculate the optimum spare inventory for technician vehicles• Solving Np-hard optimization problem for a big soft drink manufacturer and supplier Show less

Working as a Product Developer in Product Development team for Supply Chain Planning suite of productsI work on optimization modelling to improve and incorporate several business functionality in JDA productsProducts Handled:Product -1: SCP (Supply Chain Planner) Operational planning solution• As a part of product development team here my work is basically on optimization modeling (on LP Solver and CPLEX) and functionality of supply chain planner• Supply chain… Show more Working as a Product Developer in Product Development team for Supply Chain Planning suite of productsI work on optimization modelling to improve and incorporate several business functionality in JDA productsProducts Handled:Product -1: SCP (Supply Chain Planner) Operational planning solution• As a part of product development team here my work is basically on optimization modeling (on LP Solver and CPLEX) and functionality of supply chain planner• Supply chain planner gives master plan for whole supply chain of a firm• Apart from modeling, explaining the plan to customer is a major part of my job• Working on functionality and strategy to enhance products features and make it efficientProduct -2: SCS (Supply Chain Strategist) Strategic planning solution• SCS is a network modeling and optimization tool that supports the What If strategic analysis across the supply chain• Enhancing SCS Solver to capture What-If analysis (Sensitivity/risk analysis for MIP); in a single Mixed integer program solve rather than multiple solve for each combination of variable change; using CPLEX & PERL script• Estimating What-If analysis result using Reduced cost and shadow pricing• Root cause analysis of infeasible problem ;Removing infeasibility by solving the problem for largest possible feasible subset• Worked on functionality and development of product aggregation• Understanding JDA products SCPO and SCS for functional mapping• Working on functionality and development of SCS & SCPO integration Show less

Studied Industrial engineering & Operation researchAcademic Projects:M.TECH PROJECT MAY’12-JUN’13Modelling & Design of Algorithms for Railway Operations Consultancy project for CRIS, RDSO, Western Railway (Govt. of India)• Design an efficient and deadlock free algorithm for train moment with minimal traversal time, abiding with constraints like speed restriction, physical contour and headway between trains • Developed train dynamics model using piece wise… Show more Studied Industrial engineering & Operation researchAcademic Projects:M.TECH PROJECT MAY’12-JUN’13Modelling & Design of Algorithms for Railway Operations Consultancy project for CRIS, RDSO, Western Railway (Govt. of India)• Design an efficient and deadlock free algorithm for train moment with minimal traversal time, abiding with constraints like speed restriction, physical contour and headway between trains • Developed train dynamics model using piece wise interpolation of quadratic & cubic spline function • Modelled train movement for nonlinear rail network; applied fixed & automatic block signalling • Extended the model & algorithm for cab to cab signalling for maximum section capacity utilization• Quantified and proposed improved number of services that could be run with existing infrastructureKAGGLES’ CONTEST AUTUMN’12Answer Sorcerer (Data Mining Project)• Given training & test set; build models using the training set to predict the hidden feature(s) of test set • Predicted values for missing points in training data set using K-mean & EM clustering techniques• SVM provided best prediction whether a student will correctly answer a question in an examinationM.TECH SEMINAR SPRING’12Application of support vector machine on financial time series data analysis• Applied LS-SVM Regression (Least square support vector machine) to infer nonlinear regression model• Designed & compared LS-SVM Time series model & LS-SVM Volatility model Show less