Aug 2024 – Mar 2025 · 7 mos

• Heading P&L, category growth and marketing for Cooking Essentials(Staples) category

Jan 2023 – Aug 2024 · 1 yr 7 mos · Bengaluru, Karnataka, India · On-site

Jan 2022 – Sep 2022 · 8 mos

Feb 2021 – Jan 2022 · 11 mos

May 2019 – Feb 2021 · 1 yr 9 mos

• Key Responsibilities:
• Handling the Skybags Soft Luggage category with 350+ SKUs, generating 560+ Cr in sales
• Responsible for delivering category top-line, bottom-line and deploying marketing plan Marketing calendar, promotions plan across all channels for the category
• End to end responsibility for NPD projects – Product development, packaging development, pricing strategy, cataloguing & finalizing category assortment mix  Develop and maintain a working relationship with external vendors- Media houses, agencies & internal teams - Design, Merchandising, Supply Chain & Sourcing teams
• Responsible for monthly/quarterly business reports, performing competitive analysis, forecasting for NPD projects, market sizing, & ensuring marketing budget utilization
• Planning the digital marketing strategy - maintain social media presence, SEO/SEM, content marketing, Google Ads & monitor key performance marketing metrics to measure success
• Manage product launch/promotions/listing, PLA, develop communication material & 360-degree campaign for all product categories of Skybags on e-commerce portals
• Key Achievements:
• Optimized the current category assortment of Backpacks, and launched a new sub-category leading to an increase in revenue by 37% (Y-o-Y)
• Revamped the ecommerce marketing strategy leading to increase in GMV by 23%, improved ROAS and gained 25% page 1 space during events on Amazon, Flipkart & Myntra
• Managed Skybags X Sunburn association for Sunburn, 2019 - The biggest ever Digital activation in the history of Skybags with 7.3 Million+ reach, 112K+ engagement

May 2019 – Jul 2019 · 2 mos

Jul 2018 – Sep 2018 · 2 mos · New Delhi, Delhi, India

• Project Title: New Age Forecasting using Social Media
• Identified the tools to extract data from social media and did cost benefit analysis for those tools
• Carried out the Sentimental Analysis for extracted data and getting a final Sentimental Score using Python
• Generated a Statistical Baseline forecast for a UK Telecom Company and fine tuning the result with Sentimental Score using ARIMA
• Used this score to segment consumers into multiple categories as per business requirement (Happy, satisfied, Unhappy)
• Used this segmentation to create customized communication & customer support plans

Apr 2018 – Jun 2018 · 2 mos

• Understand competitive landscape for Skybags price point-wise across channels & A consumer research on gap analysis to explore new product categories with market potential.
• Price Gap Analysis:
• To understand the price points at which Skybags is currently absent from and evaluate the scope of venturing into that price point
• Need Gap Analysis:
• To understand the current travel behavior of consumers (short/long – haul) w.r.t. to the luggage they carry, identify gaps & recommend new product features/product categories to bridge those gaps
• Brand Perception of Skybags:
• To understand how consumer perceives brand Skybags as of 2018
• Following goals where achieved during the course of the study –
• 1. Top of the mind awareness in ‘Luggage Industry’
• 2. Brand perception of Skybags using ‘Sentiment Analysis’
• 3. 'Discriminant Analysis' to understand buyer persona

Jul 2015 – Apr 2017 · 1 yr 9 mos · Bengaluru, Karnataka, India

• Primarily responsible for generating business recommendations and insights for clients based on analytical results. Also, developing predictive models & reporting framework and engaging with the clients to fulfil their business requirements
• PROJECTS:
• Propensity to Switch | Client - Tobacco Industry | Linear Regression, Random Forest Method
• Developed a model which predicts the probability with which a consumer might switch to a competitor brand by answeringthe why/when/what of
• consumer switching behaviour thereby identifying the consumer base most prone to switching.
• Early Warning System| Client - Pharmaceutical Industry | Logistic Regression
• Monitored the drug prescribing pattern of a physician and developed a predictive model which predicts when a physician might start prescribing a
• competitor drug.
• Inventory Performance Assessment| Client –Tobacco industry
• Analysed transactional data in conjunction with shipment data to assess performance of stores, products andgeographies in terms of Inventory
• management and identified the loss of ~600k (~8%of annual sales) unit worth of sales per quarter due to out of stocks at stores.
• Customer Segmentation & Brand Interactions | Client –Tobacco Industry
• Helped stakeholders in understanding customer purchasing behaviour by defining customer loyalty framework afteranalysing the transactional data.
• Also, provided holistic view of brand interactions under the client’s portfolio and identified key indicators of brand switching.
• Forecasting Price of Black Pepper | Client - Spices and Seasoning Industry |(V)ARIMAX/Ensemble Modelling
• Developed a Business Intelligence dashboard predicting the price of Black Pepper in four major global markets across the world to optimize
• procurement costs.
• Identification of Potential Credit Defaulters | Client - Telecom Industry | Logistic Regression
• Developed a framework for optimizing customer acquisition process by analysing different attributes of a credit defaulter

Jun 2014 – Jul 2014 · 1 mo · Jamnagar, Gujarat, India

• Underwent a 4 weeks Industrial training at J3 Project, Reliance on Construction Power Systems learning about the design, installation & maintenance of construction power

Jun 2013 – Jul 2013 · 1 mo · Madhya Pradesh, India

• Underwent a 5-week vocational training to understand the Power supply & distribution system (HT & LT panel testing) in a petrochemical complex