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Sales Engineering

San Jose, CA
November 30, 2020

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*** *** ****** *, ***, SRIYA SRIRANGARAJAN

San Jose, CA – 95134 408-***-**** EDUCATION

MS Engineering Management, GPA: 3.7 Aug 2018 - May 2020 San Jose State University

Six Sigma Green Belt (SJSU)

Coursework: Lean Implementation, Operations planning & Control, Statistics, Six Sigma, Financial Analysis, Microeconomics, Macroeconomics, Circular Economy, Principles of Engineering Management, Enterprise and Systems Engineering, Business Analytics, Business Research, Managerial Decision Analysis B.E Biotechnology, GPA: 3.8 Aug 2013-May 2017

Rashtreeya Vidyalaya College of Engineering


E-Commerce Product Management Intern at HP Inc Feb 2020 - Present

• Analyze market trends, identify portfolio gaps, and prioritize opportunities by different verticals to boost sales at

• Perform competitor intelligence to define appropriate pricing strategies and product mix for consumer notebooks to monitor and maintain market share

• Perform forecasting based on seasonality and buyer trends to meet growing demand

• Initiated the refurb market by identifying products to be sold on third-party marketplaces, forecasted demand and proposed appropriate pricing

• Managing product roadmaps to analyze lifecycle of all SKUs Project Specialist Intern at Shield Bio Sept 2019-Nov 2019

• Call planning and mapping of new accounts for the sales team to expand customer base efficiently

• Market research to target the right customers for maximizing sales

• Analyzed impact created in the market, customer wants and needs

• Implementation of Scrum and overlooking efficiency of activities Commercial MBA Intern, Pharmacyclics, an AbbVie Company June 2019-Aug 2019

• Worked on Brand Planning and Budgeting for 2020

• Performed detailed analyses to provide insights on competitive landscape and ways to overcome the upcoming competition in various fields

• Interacted with the field force leads to gather an understanding of their needs and implemented the same to obtain higher sales and ROI

• Worked with sales team to design commission plans and calculate incentive pay outs for sales reps. Calculated attainment based on targets and hence, calculated monthly incentives

• Created dashboards and charts to be used at various events

• Analyzed data to understand market share over the past year across all indications, change in trends and cause for the same

• Improved data efficiency by pointing out errors in data collection and provided insights for better data management Analyst, Salesforce compensation Effectiveness at IQVIA July 2017-July2018

• Analyzed raw sales data to formulate the sales force effectiveness strategy

• Provided consulting services and insights in designing and optimizing sales force through directed data analysis and ETL developments

• Collaborated with clients to determine effective compensation strategies for field reps

• Analyzed large data sets to determine commission-based payouts and incentives

• Developed and managed sales force strategies, structure and operations using ROI assessments, sales force sizing, customer & market segmentation and targeting & incentive compensation

• Created dashboards and reports to display results for clients

• Developed skills in using various software and tools to ensure directed and efficient analysis is performed. SKILLS

Proficient with Microsoft Office Suite, Advanced Microsoft Excel, Advanced SQL, Tableau, SAS, JIRA, Xactly, Anaplan, Salesforce

Basics of Python and R Programming

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