Shailendra Kumar

Shailendra Kumar Email and Phone Number

Building Grocery Business (Analytics|Strategy)- Senior Manager@Flipkart |Ex-Sony,Harman,TCS @ Flipkart
bengaluru, karnataka, india
Shailendra Kumar's Location
Bengaluru, Karnataka, India, India
About Shailendra Kumar

Analytics professional at Flipkart with over 16 years of experience in data analytics & strategy. Holds a postgraduate degree in Statistics from Delhi University.Extensive background in leading, mentoring, and cultivating a team of high-performing analytical experts to deliver analytics solutions. Proficient in solving intricate business challenges by harnessing algorithms and advanced analytics techniques, while also fostering trusted relationships with stakeholders.Responsible for steering the analytics roadmap and Annual Operating Plan (AOP) within the supply chain (eCommerce) domain. Collaborates closely with engineering, product, operations, and design teams to drive both tactical and strategic solutions, and evaluates the business impact of key supply chain Level 0 metrics.Actively involved in analytics organization initiatives including the hiring process, knowledge management, newsletters, and driving patent programs. Possesses exceptional analytical and communication skills, essential for fostering trust and engagement among team members, the analytics organization, and stakeholders alike.Accomplishments1. Sensing and solving complex business problems in the Supply Chain Domain such as Network optimization (Optimally mapping XD to pin-codes, Recommending the right location for onboarding new delivery partners, Expanding Ekart footprint at PanIndia), Cost optimization (Measuring manpower productivity, Truck capacity utilization & Vehicle resizing), Demand planning, and Delighting customers doorstep experiences2. Leveraging Insights, Simulation, Optimisation, Forecasting, Machine Learning and AB testing to solve complex business problems3. R, Python, Power BI, SQL, and StoryboardingPatents, Publications & Awards1. Filed 4 patents in the Indian Patent Council [Last mile productivity prediction model (Application#202141055428/PA02737 ), Optimally defining the last mile delivery hubs serviceable region (Application# 202141056780/PA02745)],[DENSE tool for LM network design and its application in Kirana expansion (Application# 202241022371/PA02862)] and [SYSTEM AND METHOD FOR GENERATING A SET OF DEMAND-BASED SERVICEABLE AREA CLUSTERS (Application# 202341016367/PA03284)] 2. Capacity Utilisation for Line-haul Trucks — Flipkart Supply Chainhttps://tech.flipkart.com/capacity-utilization-for-line-haul-trucks-flipkart-supply-chain-a831b522a1103. CEO's Award for Customer Excellence FlipkartExtremely passionate about TOASTMASTERS, Reading Books, and PUBLIC SPEAKING.

Shailendra Kumar's Current Company Details
Flipkart

Flipkart

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Building Grocery Business (Analytics|Strategy)- Senior Manager@Flipkart |Ex-Sony,Harman,TCS
bengaluru, karnataka, india
Website:
flipkart.com
Employees:
27923
Shailendra Kumar Work Experience Details
  • Flipkart
    Senior Analytics Manager
    Flipkart Mar 2022 - Present
    Bengaluru, Karnataka, India
    Building Grocery Business - Analytics & Strategy1. Rationalising Delivery Slots for an Enhanced Grocery Business Customer Experience and leveraged AB testing for measuring Customer conversion2. Outside-in perspective: Benchmarked competitors, designed and executed customer surveys to gather actionable insights, and crafted customers value proposition (CVP) to drive strategic decision-making for Grocery business3. Enabled BIKER & VANDROP last-mile delivery model for Grocery Business4. Improving customer's doorstep experiences through last mile initiatives- First attempt conversion(FAC), Fake, EMD, Customer experience negative scores (CXNS)5. Build an externalization business where Ekart offers its logistical services to clients as a part of the profitability charter.
  • Flipkart
    Analytics Manager
    Flipkart Apr 2019 - Mar 2022
    Bangalore
    Managing City Logistics (First Mile & Last Mile) & Reverse Supply Chain Analytics1. DENSE Tool-An analytical product developed for recommending the right location for onboarding Kirana for CPS reduction at PAN India where tools fetch the data, run algorithms based on customer demand density and a link shared to BDs to scout sites. Measuring Kirana partners satisfaction scores to contain attrition2. Redesigning the last mile delivery hubs serviceability by optimizing travel time of delivery executives for improving on field productivity resulting in cost reduction3. Leveraging E2E MLP (Machine learning platform) for Wish masters supply scores calculation based on their performance which are consumed by product engine for shipments allocation for improving doorstep experiences.4. Reducing Supply chain Returns(RTO) and related attribution by 4%
  • Flipkart
    Analytics Lead
    Flipkart Sep 2016 - Mar 2019
    Bangalore Urban, Karnataka, India
    Leading Transport (Middle Mile) & Mother hub Analytics1. Ideated CUP (Capacity utilization) as a L0 metrics for transport and recommended ideal vehicle size for CPS reduction.2. Identified the routes bottleneck to recommend travelled time, rationalise the transit time andproposed design travel time to reduce ETA breach and speed improvement3. Transport vendors scorecard based on L0 metrics for operations monthly connect with vendors based on their performance and alert framework for penalty mechanism4. MH functional breach attribution to streamline asset handshake
  • Harman International
    Principal Analytics Consultant
    Harman International Jul 2015 - Sep 2016
    Bengaluru Area, India
    British Telecom •Cohort analysis on the mobile subscriber to identify monthly subscriber acquisition, churn & active subscribers and understanding factors affecting early churns. Applied forecasting techniques (ARIMA) to forecast monthly subscribers’ complaints (type & sub-reason) to provide visibility to business for actionability•Applied logistics regression to predict reason for the customer ‘s churn having 80% accuracy to prevent the losses
  • Harman International
    Lead Analytics Consultant
    Harman International Jul 2013 - Jun 2015
    Bangalore Urban, Karnataka, India
    Consensus• Detailed exploratory data analysis and bivariate developed to understand the data using R studio• Applying supervised machine learning techniques like Logistic regression, Naïve bayes, Random forest & Support vector machine to detect FRAUD/NON-FRAUD,model validation and comparison of models to find the BEST FIT (Model accuracy of 80%) for retailers.
  • Harman International
    Senior Analytics Consultant
    Harman International Jul 2012 - Jun 2013
    Bangalore Urban, Karnataka, India
    Dealer Track•Product affinity analysis to recommend up to 10 products to the clients based on their existing products•Applied market basket rules (apriori algorithms) to calculate support, confidence and lift using R studio•Developed product affinity tool which provides a convenient and user friendly means of identifying customers where cross sell opportunities exists as well as list out potential products in a decreasing order of propensity – thereby, maximizing sales efforts.
  • Blue Star Infotech Ltd.
    Analytics Consultant
    Blue Star Infotech Ltd. Mar 2011 - Jul 2012
    Mumbai
    Providing AnalyticS Functional Support for SAS Clients across India: -* Time series & forecasting* Predictive modeling * Text Mining
  • Tata Consultancy Services Limited
    Senior Business Analyst
    Tata Consultancy Services Limited May 2010 - Mar 2011
    Vadodara
    Retail domain analytics• Developed analytical framework for stores selection(HyperMalls) in 6 Emirates from data and recommended business to scout sites leveraging analysis such as detailed, exact, partial random walk and random walk.•Mentored & trained a team of 18 campus hired on statistics and how to frame analytical solutions
  • Sony
    Planning Analyst
    Sony Dec 2007 - May 2010
    Delhi
    Demand planning: Daily,weekly & monthly Forecast at SKUs• Coordinated and developed Sony India forecasting project in SAS Enterprise Guide 4.1(Process Flow and Order List) through SAS coding and SAS/SQL queries. Forecasted weekly and monthly forecast for existing and new launch product (analogous forecast) by developing a framework of Like models and predecessor -successor model. •Recommending better methods of demand forecasting using different time series modeling techniques (AR, MA, ARIMA, ESM, Holt-Winters, Linear, Smoothing etc.). MAPE ranges from 5% to 20% for different SKUs•Adjusting forecasting models to suit a particular subcategory or type of product and carrying out rolling demand forecast by SKU and branches every month with different product life cycles. •Empowered category/product managers to override statistical forecast to come up with the final forecast for monthly planning• SAS Forecast Studio and Enterprise Miner

Shailendra Kumar Education Details

Frequently Asked Questions about Shailendra Kumar

What company does Shailendra Kumar work for?

Shailendra Kumar works for Flipkart

What is Shailendra Kumar's role at the current company?

Shailendra Kumar's current role is Building Grocery Business (Analytics|Strategy)- Senior Manager@Flipkart |Ex-Sony,Harman,TCS.

What schools did Shailendra Kumar attend?

Shailendra Kumar attended Delhi University, St Xavier's School, Hazaribagh, Sas Institute.

Who are Shailendra Kumar's colleagues?

Shailendra Kumar's colleagues are Jacky Kumar, Terence Bauer, Gopalkrishna Bhiwandi), Debashis Das, Anup Sahani, Murali Reddy, Saroj Kumar.

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