NIMISHA JAISWAL

• Leading India offshore team for a major sports league in US.
• Building a 24-hour working model with end-to-end project management for the OTT platform of sports league, focused on increasing fan interactions, engagement and subscription to drive growth and revenue.
• Solved for pre-season viewership planning across Web, App and league’s OTT platform to help streaming team, marketing team and product team to prepare in advance during the popular match-up days with 96%+ accuracy using Random Forest models on historical data.
• Creating Fan LTV model using multiple sources of fan touchpoints like subscription, engagement, ticketing, shop, CRM etc., using 5+ years of data to arrive at LTV across key business segments.
• Solving for stakeholders across marketing, sponsors, stadiums, web and app teams.

Lead the Emerging Markets Hub Adidas Membership Program & CRM Analytics.

• Worked across countries like TR, UAE, IN, ZA & IL.
• Drove core KPI growth through thorough analysis of marketing activations, CRM channels & digital activation.
• Computed a 7.3Mn member acquisition opportunity, with an in-depth analysis of the consumer journey.
• Building business case for strong active non-member targetable base by working with media & activation teams, creating CRM journeys based on segmented database, getting legal approvals, and tracking the performance of each campaign.
• Drove the end-to-end analytics for FIFA WC’22 for Emerging Markets, collaborated cross teams, countries, formulated targets and planned the scorecard for KPIs for daily reporting & deep dive.

• Digital Analytics (Aug 2020 – Feb 2022) - Head of Digital Analytics Team.
• Built an end-to-end multi touch marketing attribution system for omnichannel business, efficiently solved for budget allocation across verticals - Facebook, google, SMS, TV etc. (reduced SMS cost by ~20lakh per month, rationalized performance marketing budget as per higher ROI).
• Successfully defined the need, opportunity and performance for virtual reality features like – augmented reality (AR), 3D try on and frame size, enabling users to get a wholesome assisted sales flow online, leading to 12% increase in app visitors and conversion percentage growth by 1.5 ppts.
• Formulated a new incentive structure for store and assisted agent’s basis growth in app installs from these, drove an impact of 2K+ android installs in the first 2 weeks.
• Created business strategies using insightful data, profusely automated at multiple levels – google analytics, installs, CRM, social media ads and sale data (reduced manhour by 4 hour per day and induced faster decision making).
• Online Business (Apr 2019 – July 2020) Drove growth for online eyewear category (eye, sun, contact lens), using customer segmentation level data at adobe analytics & transaction level – like page views, product funnels, city, category preference, pricing, content consumption, brands etc.

• Ola Money Postpaid (OMPP) (March 2018 – Present) Drove growth for OMPP product through new acquisitions and increased value and volume (~15% growth MoM) on Ola Platform and External Merchants using various channels.
• Planned campaigns for user adoption communications through analysis of cost for each channel, peak hour exploration, content optimization and identifying target users based on their characterization (variables like - value, age on network, adaptability used).
• Constructed funnel conversions for various products build for repayment of OMPP, by analyzing all the payment processes provided to users (maintaining success rate >80%).
• Cost minimization for Ola on Postpaid by dynamic distribution of traffic on different payment gateways, leading to cost reduction by 10% QoQ.
• Built automated trackers and assisting financial RBI reports for Ola/External transactions at daily, weekly, monthly view, which supported business team in understanding the pain points and scope of growth (reduced man hour ~6 hour/day).
• Ola Money Wallet (October 2017 – Apr 2019) Drove completion of KYC process for all wallet users before the RBI deadline (secured ~80% users). Analyzed OM users at city, category, age and many other variables for targeting.

• Advance Deal Prediction (August 2016 – Sept 2017) Cross-team project to predict the outcome of each deal at early stage, (300K+ deals in pipeline) using various machine learning algorithms (Random Forest/C5.0/Naïve Bayes) and applying voting mechanism for prediction results.
• Created Qlikview Dashboard at WW level, based on historical patterns of several deal parameters, achieved/presented 75%+ accuracy of winning/losing the deal, which supported sales managers in deciding the focus areas for improvement.
• Sales Forecasting (Nov 2015 – Sept 2017) Developed time series model (ARDL) using GRETL Tool, to provide sales forecast ($) of forthcoming months (for 100K+ Deals), achieving 80%+ MAPE accuracy, using sales, pipeline & inventory variables for optimization and forecasting for 300+ partners at WW level, using 16 forecasting techniques.
• Created Tableau Dashboard objects like tables, views, procedures, triggers, and functions.
• Developed & led implementation of sales strategy to reach a stronger market position of Blades in India (Server Product, market lead with 44% share). Awarded Star of EG Analytics (140+ members) for providing useful analysis in a week’s time.