Manager Data

ANUJ KAPUR

857-***-**** *****.***@*****.***.*** https://www.linkedin.com/in/anuj-kapur

Aspiring Product Manager with 3 years of experience in creating and analyzing products in an agile environment. Passionate about building functional and engaging user experiences with a strong customer-centric focus. PROFESSIONAL EXPERIENCE

Northeastern University Boston, MA

Product Manager 03/2020

• Managing a team of 90+ volunteers to build a website platform on open-source tools in an agile environment that would connect 6000+ frontline researchers with skilled volunteers to work on COVID-19 related research projects. Wayfair LLC. Boston, MA

Business Analyst – Inventory Management 01/2019 – 06/2019

• PROCESS IMPROVEMENT: Developed and presented a standardized Quality Control framework to support new dashboards using MS-SQL that would validate reports from multiple systems and increase the dashboard accuracy to 100%.

• INCREASE OPERATIONAL EFFICIENCY: Automated the inventory segmentation tool using MS-SQL to save 16 hrs every month. Developed KPI dashboards using Tableau to determine the trend of penetration rate and presented its business impact to executive team.

• ANTICIPATING NEEDS: Monitored and dealt with inventory management data using MS-SQL to manage 50+ ad-hoc reporting requests. Presented analytical findings and recommendations using visualizations to drive key business decisions.

• DATA-DRIVEN: Partnered with the product team to build an analytical tool to determine the product life cycle of a SKU using MS-SQL by analysing the sales performance of an item with respect to its class to build replenishment strategies.

• TRACKING INCONSISTENCIES: Analyzed and altered the financial models using MS Excel to show the impact of around 3.5 million USD worth excluded items on financial performance.

• PROBLEM-SOLVING: Assessed item segmentation data from 15+ inventory data tables containing more than 1 Million data points using MS-SQL to propose changes to existing segmentation methodology to reduce the current item selection by 7%. Accenture Services Private Limited Bangalore, India Business Analyst/ Software Developer 08/2015 – 04/2017

• CROSS-FUNCTIONAL COLLABORATION: Spearheaded data flow improvement of web application with a team of developers to increase its runtime performance by 20%. Received award in recognition of contribution to the Performance team.

• EXECUTING BUSINESS IDEAS: Collaborated with a SCRUM team of product owners, developers, testers & analysts to develop a web platform using JavaScript, HTML, CSS & PostgreSQL against a deadline of 12 months. Resulted in a successful roll out of the product, used by 120+ Relationship Managers to handle the financial investments of 250+ clients.

• DETAIL-ORIENTED: Drove sprint planning sessions with the scrum master in an agile environment to identify feature requirements and translated them into detailed user stories on JIRA for the team that helped resolve 80+ user issues.

• Conducted A/B testing to maximize efficiency of web application & increase Relationship Managers’ engagement by 30%. EDUCATION

NORTHEASTERN UNIVERSITY, BOSTON, MA 09/2017 – 12/2019 Master of Science: Engineering Management (Focus on Data Analytics) CGPA: 3.9/4.0

(Courses: Data Mining, Data Visualization, Project Management, Probability & Statistics, Customer Driven Technical Innovation) BANGALORE INSTITUTE OF TECHNOLOGY, INDIA 08/2011 – 06/2015 Bachelor of Engineering: Computer Science and Engineering ACHIEVEMENTS

CERTIFICATION: Product Strategy - Developing, Managing, and Marketing Products as a Business (Northwestern University) Google Analytics Certification 2020

LEADERSHIP: Raised $1500 by hosting events as the Fundraising Chair of Northeastern University Marketing Association. PROJECTS

Analyze Trends In Motor Carrier Vehicle Crashes In The United States: Performed technical analysis and built visually appealing dashboards on 3 million real-time Motor Carrier Vehicle crash data points using R libraries and TABLEAU to evaluate and identify the effect of time-period, geo-location, road, weather and light conditions on the accidents that occurred from 2017 to 2019. User behavior prediction analysis for Google Merchandise Store: Performed exploratory data analysis on 800,000+ Google Merchandize Store data points to predict if a customer would buy a product by using Decision Tree - classification in R. TECHNICAL SKILLS

Languages: R, PYTHON, SQL, HTML, JavaScript, CSS, JAVA DATABASE: Microsoft SQL Server, PostgreSQL, Redshift, MySQL TOOLS: Tableau, Google Analytics, Balsamiq, MS-Excel advanced, JIRA, Confluence, GitHub, RShiny, Google Docs, Lingo, MATLAB

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