Projects
Working on building a conversational Gen AI bot for the product manager and entrepreneur community which acts as a personal assistant to build documentation and effective collaborative datapoints.
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The bot aims in saving 30% of the time product managers and leaders spend in documentation which can be effectively be spent on strategising.
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The bot leverages Open AI API and is also trained on a lot of content generated through Product Unfiltered and various other product communities where the conversation brings in a lot of information and credible data. With this bot, the core aim is to help product managers become more productive and have a head start while building products that really matters.
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Product Manager @ Depression Detection using AI/ML
Built a web application to assist users in identifying depression early by utilizing their daily activity data and sleep cycle pattern combined with machine learning (ML) models. The major issue with depression right now is that there are no established methods for identifying it early, which causes therapy to be delayed and has detrimental consequences.
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We began our project with in-depth market research and analysis, reading a lot of previously published research papers in this field to understand the current market solutions. Additionally, we performed several interviews with a variety of stakeholders, including psychotherapists, medical experts, persons who have recovered from depression, and those who are still depressed. Following the interviews, we concentrated on brainstorming to identify the underlying causes of the issues and possible solutions for our user persona.
After determining the problems, we created a preliminary plan of action for our MVP and used agile development to create it. We determined the project's scope and broke the overall project into manageable milestones. All the milestones were divided into sprints, and for each two-week sprint, user stories were generated in collaboration with the technical team.
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At the conclusion of the project, we created our MVP and successfully demonstrated a working model to our cohort, allowing users to upload motor activity data from smart watches to our application and receive recommendations on how to increase the likelihood of staying fit and prevent oneself from falling into a depressive state.
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Key Roles and Responsibilities:
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Defined the problem scope, conducted market research, identified target customers, defined key features and functionalities of the application.
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Gathered customer feedback, market research, and industry trends, to understand the needs and preferences of the target customers.
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Built user stories for sprint cycles and worked closely with the engineering and the design team.
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Developed and maintained a roadmap that outlines the short- and long-term vision for the product. This includes setting priorities, defining milestones, and ensuring that the team stays focused and on track.
Product Manager @ Commute Buddy - SSO Based Ride Sharing
The average full-time community college student, according to the American Association of Community Colleges (AACC), spends close to $2000 a year on transportation. The increased cost is mostly caused by the inaccessibility of student accommodation and the dependence on commuting to college while juggling the demands of employment and family obligations. In California, full-time student tuition is equal to or more expensive than transportation expenses.
Commute Buddy’s purpose is to provide a convenient transportation alternative to the student community. Commute Buddy’s mission is to turn the costly, unsafe cab hailing experience to the cost-effective, safe and reliable experience.
Commute Buddy will carry out this mission by turning the students on campus into ride-sharers, who can let the fellow students hitchhike until a certain point on their way or till the destination of the rider’s ask as per their convenience. Commute Buddy aims to be the desired platform to commute to schools safely and cheaply, with friends. Commute Buddy plans to become a provider of transportation to the students of a University run by students and for the students.
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Key Roles and Responsibilities:
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Defined the problem scope, conducted market research, identified target customers, defined key features and functionalities of the application.
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Gathered customer feedback, market research, and industry trends, to understand the needs and preferences of the target customers.
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Developed and maintained a roadmap that outlines the short- and long-term vision for the product. This includes setting priorities, defining milestones, and ensuring that the team stays focused and on track.
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Identified and pursued new opportunities to create value for customers. Identifying new markets or target customers, developed new features or functionality.
Dropbox - A Deep Analysis
Researched about Dropbox in-depth to respond to questions like what is the company's most likely state to be in the near future, what are their core strengths and external factors impacting the company, and what are some of the most crucial factors that the leadership needs to take into consideration to grow the company.
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Examined and researched about the Dropbox's product strategy, revenue rationale, and distribution plan, internal, external, and micro elements that have an impact on a business and how the leadership team must be proactive in developing plans to make the most of these aspects and stay ahead of the curve.
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Developed insights through Dropbox's financial records and 10-K reports for the previous three to four years to understand its financial situation, determine whether investing in the company would be profitable, and determine whether its cost of goods sold, dollar retention rate, and stock price were in line with industry norms.
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