Vinay Varanasi

Experience

• 

  Mu Sigma Inc.

  Jul 2014 - Mar 2018

  Worked with an American multinational technology company to improve and optimize their search business by assisting the Market Intelligence team of the Business group. Team's objective: Deliver market, competitive & customer insight to Business Users to support successful strategies, product planning, marketplace performance, and marketing plans through Advanced Analytics & Competitive Intelligence. (Marketplace - Internet Marketing | Search Engine Marketing)Projects: - Facilitated Sales & Marketing teams by developing methodologies around Sales lead pipelines (Demand and Supply Gap Analysis, User Behavior Analysis, Potential Customer list) - Identified and analyzed competitors in marketplace to drive Revenue strategies (Threat Assessment of the competitor) - Ad-hoc competitive analysis on new product launches, and acquisitions to provide Competitive bench-marking & recommendations within the marketplace - Deep dive analysis to identify monetization opportunities - Utilized Business Intelligence & Big Data to scale-up team on developing robust and reliable data infrastructure & make them available via tools across teamsActing as the conduit between senior management and team members, I am responsible for leading a group of 5 people - delegating tasks among the team, negotiating workloads with the clients and to ensure that the deliverables are of the highest quality possible, along with my regular workload. Show less Worked with an American multinational technology company to improve and optimize their Cloud Computing business by assisting the Analytics & Insights team of the Business group. Team's objective: Deliver business & customer insights to Business Users to support through ROB (Rhythm of Business), Forecast and various Analytical reports. (Marketplace - Cloud Computing )Projects: - Identified the KPIs and created report which helped to track the Rhythm of Business on a weekly cadence, Automated a part of the process using Excel VBA which saved around 20 hours of manual work and reduce human error. - Pushed out various Ad-hoc analyses on trend change, business heavy questions in quick turnaround time - Implemented customer segmentation model by using K-means clustering in R which clustered the customers based on various metrics like purchase history, association with the products, use of products etc. and thereby enabling the marketing managers to target customers in a more effective way - Performed a Market Basket analysis using apriori algorithm in R for the services offerings and identifying cross-selling opportunities which enable sales team to target right set of services to the potential customers Show less

  • Decision Scientist

    Jul 2016 - Mar 2018

  • Trainee decision scientist

    Jul 2014 - Jun 2016
• 

  Cuemath

  Aug 2018 - now

  • Lead Business Analyst

    Nov 2024 - now

  • Associate Director - Analytics

    Jun 2022 - Oct 2024

  • Senior Associate - Analytics

    Aug 2018 - May 2022