Simran Singh Email & Phone Number

San Francisco, Ca, Us

Mountain View, Ca, Us

Analytics lead helping inform global B2B marketing strategy and operations for Google's accelerating $18B+ Google Cloud Platform and Google Workspace businesses across a gamut of marketing functions: Demand Gen, ABM, Brand, Growth and Customer Marketing and in service to our Named and SMB customers.

Mountain View, Ca, Us

B2B (Named and SMB) SaaS Marketing Strategy & Insights: Customer Marketing Analytics, Measurement/Testing & Optimization, Data Science, Ads Optimization, ABM Analytics, Demand Gen, Growth, and Brand Marketing Analytics

Mountain View, Ca, Us

Business Operations & Analytics, Data Science, Customer Experience, Stakeholder/People Management

Company Profile:Seven Lakes is a niche technology start-up offering analytics products and services for the Oil and Gas industry; focused on improving business drivers and enhancing execution of customer business strategies.Recently got $20M funding injection from Carrick Capital Partners, a SF Based Venture Capital Firm.Role:- Led cross-functional teams from Analytics, Products, IT and Marketing from Concept through Execution of 15 innovative analytics products in Upstream Oil & Gas: Mobile Apps, BI Dashboards, Decision Support Tools and Workflows o Product portfolio led to $20M VC Funding by Carrick Capital Partners- Spearheaded Development of Next Generation of Predictive Analytics Products for Oil & Gas Industry – Downtime Predictive Models, Hadoop Powered Analytics, Data Visualization Tools and Scenario Based Simulations- Developed and streamlined Product Sales Forecasts, ROI Calculators and Pricing Models along with Customer Lifetime Valuation and Campaign Performance Monitors for effective marketing campaign analysis

El Segundo, Ca, Us

- Led the planning and development of DirecTV's Pricing & Packaging and Revenue Strategy through advanced analytical modeling. Developed price sensitivity and elasticity models with respect to our top-line metrics – namely Churn, ARPU, Credits, Call Volume, Margin (Sports, PPV, Base Package, Advanced Products, Lease) and Retention and Upgrade Marketing Spend (RUM). An important component of this role was finding the right balance between acquisition and retention spending to drive subscriber growth and profitability.- Modeled and analyzed revenue, persistency, churn, web usage, DVR scheduling and Video on Demand trends for Premiums (Movies, Adult, Events) business, shared findings and advised business teams for effective revenue maximization and churn mitigation strategies- Analyzed, reported and effectively communicated subscriber trends and metrics for DirecTV's Hispanic and International business to senior executive management including Churn, LTV, ARPU, Customer Segmentation, Hardware and Package Migration, Predictive Models and Campaign Measurement and Analysis.- Partnered with business owners and utilized transactional data (behavioral, attitudinal, usage, demographic and psychographic) across 20M subs and 10M disconnects to provide key business insights, inform decision-making, and drive marketing strategy driving profitable growth across company's 20M+ customer base.- Worked closely with sales and operations teams to optimize DirecTV's 2nd biggest sales channel: Local Strategic Partner through innovative churn mitigation analytics, dealer segmentation, BDI/CDI studies and dealer incentive programs.- Measured performance and ROI for various turn-key, new product and service launch initiatives: Connected Set Top Box, Auto Bill Pay, Regional Sports Networks, Advanced Products, Cross platform viewership and Advanced feature adoption (YouTube, Pandora, Social Media).- Devised policies to optimize gross adds across various DS channels

Strategic Marketing Analyst, Pricing & Revenue Management, FedEx Corporate, Memphis, TN• Identified key small business value propositions, market needs and customer perceptions to design FedEx’s biggest and most successful (highest incremental revenues) Small Business Marketing promotional pricing offers• Conceptualized customer segmentation models for better yield management.• Managed FedEx’s Market Based Pricing (MBP) Engine—an Automated Web-Based Yield Optimization and Discount Recommendation Model used for pricing mid-sized customer segments.• Developed price waterfall, price response as well as market response plots to quantify small business customers’ shipping behavior patterns and design appropriate optimized promotional offers. • Assessed the market potential, competitive pricing, elasticity, dilution, incremental, and profitability on numerous Sales and Marketing campaigns and programs.• Integrated key financial, operational, as well as market-driven and competitor data to propose new cross-sell and up-sell opportunities.• Conducted analysis to identify optimal go-to-market approach based on market dynamics, current customer relationships, competitive analysis, performance history, and trend data.• Led cross-functional teams with Sales, Marketing, Vendors, Legal, Customer service, Finance, and Advertising • Prepared presentations and briefed senior management on marketing and pricing initiatives.• Analyzed historical trends, demand, price sensitivity, and seasonal, regional, and competitive influences to develop Revenue, ADV, and ADR forecasting models.• Conducted revenue impact analysis and what-if scenarios to model US FedEx Retail Counter Rates and applicable surcharges 2009 for existing and new transportation services.• Contributed and participated in major regional and international pricing projects and initiatives to streamline FedEx’s billing, invoicing, rating, and pricing systems

Urbana-Champaign, Chicago, And Springfield, Il, Us

• Designed a Supply Chain Simulator in Java and MySQL to quantify the increased variations of orders and inventory stocks in a supply chain, known as the 'Bullwhip Effect'. The model analyzes the stochastic nature of orders in the supply chain and suggests appropriate ordering, inventory maintenance policies• Developed a Sales and Marketing Software (funded by KRAFT FOODS) for conducting forecasting and what-if analysis to help make strategic decisions about product design, plan, and launch phase.• Simulated a 'Traffic Flow and Accident Investigation' model in SAS to quantify and predict traffic flow and accident causing patterns in the city of Urbana Champaign. The model used regression and best-fit models to correlate demographics, geography, time, pedestrian, driver, and vehicle characteristics.

Auckland, Nz

• Developed Traffic Flow and Demand Generation Models for major arterials in Central Business District, Auckland using Simulation Softwares and Optimization Tools - Excel VBA, SYSFIT, aaSidra, VISSIM. The models were used to recommend key infrastructure expansions to the New Zealand Government.

Ms In Industrial And Enterprise Systems Engineering, Industrial Engineering (Major In Supply Chain And Logistics)

B. Tech, Structural Engineering