A Bit About Me
I am Aritro Majumdar, and I am a project management leader helping teams communicate and work more productively through the Scrum method.
I love this method of project management because it’s so effective, and creates such happy and strong teams. I’m a great listener and very empathetic, and I don’t have a large ego. I seek to give team members a voice, to understand why they hold the opinions they do, and how they best fit into the team for the success of all.
I originally learned Scrum while working as a team lead at ASU’s Luminosity Lab, but I really cut my teeth on this method when I spun out my own project called Rayo and ran Scrum with 3 teams simultaneously. Then, right after graduating with a B.S. in Mathematics, I received my Scrum certification and began consulting for nonprofits and other clients.
I’m looking for my next opportunity to lead a scrum team in-house or on a consulting basis. Shoot me an email at me@aritrom.com if you’d like to explore working together.
Work Experience
November 2021 - April 2022
May 2020 - November 2021
January 2019 - May 2020
September 2018 - January 2019
February 2018 - August 2018
October 2017 - February 2018
Product Manager and Scrum Master
ElevateU, Remote
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Lead and coached a product team to agile autonomy and ensured everyone adhered to the Scrum framework
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Facilitated discussion, decision making, and conflict resolution across 2 cross-functional teams
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Coached 2 product owners through complex problem-solving and solution strategies
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Tracked scrum metrics (i.e. velocity, burn down, and burn up)
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Ensured user stories were ordered, defined, and ready to be worked by development team Lead team through MVP product launch
Founder and Principal Consultant
Unblock Agency, Phoenix, AZ
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Coached clients to optimize their Agile practices and product-building execution. Trained clients on Agile topics, including Scrum Fundamentals, Product Owner, Scrum Master, and other courses customized based on client needs.
Product Manager and Scrum Master
Arizona State University, Tempe, AZ
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Pitched and spearheaded project (< 5% acceptance rate in entire organization)
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Led 3 cross-functional teams using the Scrum framework and led team to product MVP
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Facilitated scrum ceremonies (i.e. sprint planning, sprint review, and sprint retrospectives)
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Coached 5 product owners and 2 scrum masters
Lead Data Scientist
Arizona State University, Tempe, AZ
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Designed action plans based on business needs and stakeholder requirements
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Developed data strategies and pipelines to execute project vision
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Built predictive models using various machine learning to predict companies likely to move to corporate headquarters to Arizona
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Presented findings, using storytelling techniques, to stakeholders and company leadership
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Lead and coordinated a team to assist in execution Facilitated scrum ceremonies
Data Analyst
Million Dollar Teacher Project, Phoenix, AZ
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Spearheaded analysis efforts for the non-profit
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Utilized analytical and technical expertise to provide insights and proposals to support organization programs
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Analyzed effectiveness of classroom programs and presented findings to stakeholders
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Designed unique data pipelines given the constrains of the resources available to provide an enhanced and accurate data set for accurate analysis
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Facilitated cross-functional communication between all the teams to assist with analysis efforts
Data Science Student
Galvanize, Phoenix, AZ
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Worked with real-world problems and datasets to write sophisticated pattern recognition programming. Experience implementing the following tools to conduct analysis: Data Science: Predictive Modeling; Machine Learning: Supervised Learning (Classification, Regression); Unsupervised Learning (Clustering); Big Data/Data Engineering: Data Cleaning, AWS Deployment; Statistics: Hypothesis Testing, Bayesian Statistics; Python: Libraries (Numpy, Pandas, SciPy, Sklearn)
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Regression Case Study: Was given a dataset from a company that holds auctions on items related to farming equipment. Implemented a KNN model and outputted a model with an accuracy of 75%.
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Joke Recommender Case Study from UC Berkeley Laboratory for Automation Science and Engineering: Was given a dataset of over 1.7 million continuous rating (-10.00 to +10.00) of 150 jokes from 79,681 total users. Implemented a topic model and predicted for recall and
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