Rakesh Naga Chinta

www.rakeshchinta.com/ www.nagvision.com/ ad4aa8@r.postjobfree.com 248-***-****

Education

University of Michigan BGS in Computer Science & Business 2017 Dec - 2020 May Honors program, Graduated with Honors, 3x Dean’s List Harvard University Masters in Management: focus in Law, Strategy Fall 2020/Def Harvard Business School Pre-MBA Studies in COR-E, HBS: Peak Weekend, Summer Venture Program Summer 2020 Stanford University Invited for Silicon Innovation Academy Fellow, STVP, Ignite (Part-Time) MIT Fellow for MIT Entrepreneurship: Innovation Bootcamp, Micromasters: Data Science & Statistics (present) Skills and Relevant Coursework

Programming Languages/frameworks: Worked with C++, Python, R, SQL, STATA, Tensorflow, Keras, Jupyter, Javascript, Java, Swift, C, LaTeX, SQL, PostgreSQL, HTML, CSS, Matlab, Tableau, Excel, Php, STATA, several front end, and back end frameworks which were used on various instances of personal & academic projects Tools: Adwords, Sketch, Adobe Suite, Facebook Ads, Clickfunnels, Mailchimp, Balsamiq, Trello, Office, Principle, Figma, web-flow, airtable, Google suite, Excel Work Experience

Microsoft Product Manager Spring 2021 - Present

Facebook TPM (Contract) Wint - Spring 21

● Focus on technical project management/delivery of facebook events feature work Tesla TPM (Contract) Wint - Spring 21

● Focus on technical project management/delivery + In-house tool development for workplace safety and sustainability. SingleStore Product Manager Winter 2021

● Goal: Had to investigate the high churn, low conversion rate on the free trial of the enterprise product. Went through over 100k+ rows of data in order to analyze various variables - this helped me map various customer persona(s) and journey(s). Conducted a series of informational interviews with a random set of current employees to garner quantitative and qualitative feedback. Accumulated all the above findings into a final report and provided recommendations to upper management on findings, crucial pain points, possible solutions with a pro/con & risk analysis for each. Nvidia OS TPM Intern Fall 2020

● Open Source Software - Provided technical support and consulting for developers performing OSS reviews. Responsibilities included being able to work with engineers and technical writing teams to classify documentation requirements, handling bug and feature requests. Maintaining metrics for pull requests, contribution, and error handling/resolution.

SpaceX Technical Project Manager Summer 2020 Start

● Data Strategy: Worked with the data science, HR teams to identify reasons for employee churn. Analyzed current HR data sets in order to quantitatively evaluate potential pain points within the administration. Conducted a series of informational interviews with a random set of current employees to garner quantitative and qualitative feedback. Accumulated all the above findings into a final report and provided recommendations to upper management on findings, crucial pain points, possible solutions with a pro/con & risk analysis for each. NAG Show Host, Founder Winter 2021

● I am interviewing product leaders, executives, and entrepreneurs having years of experience launching new products, driving innovation in their respective fields, and with a unique perspective of how to look into the product as a whole. Takeme.to PM Intern Late Summer

● Go-to-market strategy: reached out to a series of top influencers on various social media platforms and convinced them to use the product. Utilized their feedback in improving the product roadmap, bug identification and resolution, feature requests, strategy adaption via an interactive approach Pathrise (YC) Associate Product Manager 2020 April - Present

● Was Mentored by Kevin Wu, CEO & Founder, and PM Partner Sam - to improve the PSO curriculum which reaches all current fellows of the program

● Took initiative in helping qualify incoming qualifies over a range of qualitative and quantitative metrics - gave feedback and recommendations on intake

● Worked with a Y combinator ( Winter 2018) company as a Product Management fellow on two separate occasions. Mckinsey Summer Fellow 2020 April - Present

● Led the marketing, sales, customer services teams to implement a strategy that helps in improving overall customer inbound, outbound leads. Furthermore, pushed this strategy into building several automated marketing channels to ensure that we met the long-term financial goals of the company. Liaison between the technical/engineering teams and the stakeholders to gather/understand requirements, prioritize needs, diagnose issues and critically evaluate possible solutions. Apple TPM - GSOC Spring 2020

● GSOC 2020 Project description: Diagnostics play a vital role in a programming language experience. It’s vital for developer productivity that the compiler can produce proper guidance in any situation, especially incomplete or invalid code through messages. However, the diagnostic messages might be helpful for a long time; for non-English speakers, it’s not. As a step towards the goal of making the Swift programming language more accessible for non-English speakers, this proposal extends the Swift compiler to allow it to produce localized diagnostic messages. Heartland VC Venture Capital - Investment Analyst 2020 Jan - May 2020

● Worked extensively on deal flow and screening against specific opportunity KPIs to identify new technology sectors, and leading early-stage companies in these sectors by networking with peers in other venture capital firms, accelerators, and incubators to source prospective deals for investment.

● Researched and engaged with extensive networks of Fund Partners and other startup founders, executives, and functional leaders to evaluate a target sector or a specific company’s market attractiveness and technology competitiveness (including IP), business model differentiation, and go to market strategies

● Researching Markets, Sectors, and Companies; Competitive landscaping of market sectors, investment themes, key entrepreneurs, and companies Soma Capital Venture Capital - Ad Hoc Investment Analyst 2020 April - Present

● Worked with Aneel and Jessica on analyzing new investment opportunities with industry verticals of B2B, B2C, Adtech, Insurtech, Fintech, Edtech, etc

● Performed due diligence by gathering information from the target company and industry experts through research and interviews of existing references, customers, and competitors

Titan (YC) Product Growth 2020 Feb - Present

● Was responsible for establishing Titan’s presence within Ann Arbor/UofM. Conducted workshops, Q/A sessions, and leveraged the UofM community, 60+ students.

● Conducted a series of virtual/Live webinars/presentations, on-campus events to promote awareness of financial education & value proposition of Titan Kleiner Perkins Product Fellow Summer 2020

● Was selected as one of the 16 Product Fellows for KP program - was offered to join Uber as an APM Intern prior to Grad School at Harvard / Full-time SpaceX Point (YC) Product Growth 2019 Aug - 2020 Dec

● Was responsible for establishing Point’s presence within Ann Arbor/UofM. Brought onboard 15+ local dealers to offer onboarding deals. Total students: 200+ Unshackled VC Venture Fellow / Deep Dive Analyst 2019 Apr - Present

● VC deal flow process: will be pitching selected startups, companies to the managing partners, will help in further due diligence the investment seems to be a fit.

● Performed extensive due diligence and analysis of potential portfolio companies and suggested selected targets, presented findings to managing partners. Hyperspace VC Product Management Intern 2019 Jun - Present

● Helped in advising C-level executives and founders on product strategy and MVP development. Helped with go-to-market implementation plans of over 12 portfolio companies & projects spanning a total market value of 20M dollars. Personally managed 5 projects from start to finish over the span of 3 months.

● Worked and led* a team of 14 engineers with a total work experience of 120+ years of work experience and a diverse range of technology experiences Google Technical Project Management Intern, GSOC 2017 May - 2017 Sep

● Product Development: Integrated and helped visualize Product Vision for Integrating Wiki Library’s open-source database into a visual hierarchy based on timestamps along with a calendar implementation. Visualized Internet Archives timestamps of webpages with Calendar implementation, applied UX, UI functionalities, including Dark Mode. Led a team of 4 interns and volunteers to build the above products, Build a visualization tool for handling 404, 504 errors while focusing on UX. Error Handling pipeline implementation allows developers to easily handle errors with a notified ticket.

● Presented to Director Mark, with a presentation to Co-Founder of the Internet Vint Cerf: was praised for work and final product.

● Google Machine Learning Fellow: Offered Google Machine Learning residency for the summer of 2019 to work on machine learning projects, research papers. Google Student Lead 2017 - Present

● Campus representative for Google, representing android development, hackathons, seminars, google products within my university and college affiliate group of 281 universities including a student group greater than 17000. Helped over 50 local businesses build their mobile applications and launch their online presence, Helped train more than 700 students in the fundamentals of Machine learning/ Google Codelabs. Proquest AI Product Management: ML & Data 2019 Jan - Present

● Led a cross-disciplinary team with hands, implementing practical machine learning libraries to create a proprietary product for the firm with a team of 8.

● Achieved state of the art results in terms of accuracy, recall, and precision, hence establishing a way for the product to competitively compete in the market

● Build a custom tag generator using state-of-the-art NLP packages: FLAIR, PyTorch; automatic highlighting, dynamic feedback form, Web app integration. Stanford Graduate School of Business ML Research Intern 2019 Jan - 2019 Mar

● Worked with award-winning professors of management: Jennifer and Naomi in analyzing student data to provide insights using sentimental analysis, clustering, k-means analysis, classification, linear discriminant analysis, normalization. Visualized all my findings and secured feedback over several instances.

● The objective of the project is to find relations between empathetic words which were expressed by students in a series of surveys over the course of a few years.

● Organized findings in a presentation: showcased to upper management; consolidated results into a report which is being referenced in an upcoming publication Silent Quadrant Product Manager - Contract 2018 Dec - 2019 Mar

● Worked on several applications for an internal project of Silent Quadrant, leading a team of four engineers to build chrome, safari and Mozilla firefox apps

● Projects soon to launch live on https://www.silentquadrant.com/trust. Total pre-registered companies/partners to be announced as well.

● Silent Quadrant Password Protection will check the user's email/password against the fabulous Have I Been Pwned? API service to see whether or not the user's email OR password has been breached in the past. Demo: https://github.com/silent-quadrant/chrome-extension Harvard University Teaching Assistant 2018 May - 2018 Aug

● Remote Chapter TF for Harvard’s Introductory Computer Science course, CS50, the largest course at Harvard with an enrollment of 800+.

● Helped with consolidating student feedback and delivering it to the curriculum designers. This feedback was taken into account for course improvement

● Took charge of weekly zoom meetings encouraging Q/A sessions, was recognized as one of the top 5 performing TA’s voted by students of the semester MIT Media Lab Product Management Intern

● Have helped in developing the project: "Question Tool Integration", working with a team of 3 different students ranging in a wide array of technical experience.

● The Question integration tool allows business professionals to share and revise work plans, documents, meeting schedules, allows Q&A sessions, etc.

● The tool was later integrated with Harvard Berkman’s Center of internet and society as an internal communication tool. Uber Business Analyst Intern 2016 Dec - 2017 Feb

● Performed Competitive Analysis, strategic analysis of partnerships, Indian Transportation analysis, customer analysis to drive findings: 1 million rows.

● Used classification and linear regression, ML, Data visualization techniques in Tableau, excel and presenting interesting findings to the managing team

● Made use of marketing budget by scheduling local partnerships strategically, hence used 30% of allocated budget to achieve 300% of desired results. Microsoft Student Partner 2017 Jul - Present

● Campus Representative creating awareness for Azure, Xamarin, Microsoft professional Development Program and a series of Microsoft initiatives

● Helped in bringing in more than 200 students to the program along with more than 3 team registrations to Microsoft’s Imagine cup from my University. Udacity PM Mentor 2020 Jan - Present

Govt.of India - Yanam Program Manager 2019 Dec - 2020 Jan

● Worked with the MLA (Mayor) of Yanam (India) to improve technology adoption of urban planning and design - launched a non-profit portal which received 30+ Lakhs of donation to old age retirement schemes, food for people in poverty, and rural housing and development

● Worked on urban planning and development of leading educational institutions within Yanam - NIT, Civils Coaching Centre Govt. of India, Council for Scientific and Industrial Research Machine Learning Research Intern 2017 Jan - 2017 May

● Mentored by Dr. Sukant Khurana B.SC, M.SC, Ph.D. IISER. Taken the responsibility of managing a research project which included 16 students of Mtech-IITs, NITS to use open cv and image recognition techniques to identify/classify potential seizure scenarios. Series of TED-X talks were given

● Indian Institute of Statistics: Project Lead for HIV-AIDS Sentimental Analysis within Social Media, Twitter, articles, from a range of 2000+ sources within India and the USA.

J.P Morgan TPM Intern Fall 2019

● Working as a virtual technical project management intern on the 'Perspective' team. Built a custom dashboard for Traders to monitor and assess the following asset classes: Equities, Commodities, Credit - Debt and Bonds, Currency & Emerging Markets, Public Finance/Government Bonds, Interest Rates Intel AI Scholar AI Student Leader 2018 Aug -Present

● Proposed and Visualized my idea for providing free education on core data science subjects: R, Python, SQL to students for free with my non-profit: Ucoursa

● Worked as an ambassador of Intel AI initiative: helping students become aware of intel’s data science and machine learning roles for new graduates IIT, Bombay Product Management Intern 2016 Nov - 2016 Dec

● Worked with professor Ganesh Ramakrishna to lead the development of android applications targeted in solving present situations in India: Plant recognition app, Women Security App, Real-time chat application for Employees of state, etc. Plant Recognition Software was presented in IIT’s Tech Expo and received innovation of the year award, the central government granted total funding of 10,000,000 rupees for funding of the project Indian Institute of Management Venture Capital analyst 2017 Mar - 2017 Apr

● Developed MVP Vision and prioritization for a series of student/ incubated startups. Pitched for several companies and received initial seed funding/Round A funding with a total of 30,000,000 rupees. Strategized initial Product marketing, user acquisition campaigns which led to total user signups of ~10,000. Met and worked with leaders of Growth Unicorns of Oyo Rooms, Food Panda, Ola Cabs, Reliance Jio, etc YC Startup School Quadrant Summer 2019

Enigma CEO & Founder Present

Lance CEO & Founder Present

General Catalyst VC Accelerator 19 Summer 2019

Amazon Influencer program 2018 Jul - 2018 Aug

● Partnered with Amazon to release its own storefront, leveraged a total social media following of 20,000+ to provide value-based recommendations and referrals.

● Ran a full-time business with 2 employees, marking up an average of 7000 in revenue per month from affiliate and influencer margins: both on the store, external Quadrant CEO & Founder 2018 Jun - Present

● Built an edutech startup from the ground-up with a team of 7, On our day of launch, we have added 20000+ students 24 hours

● Providing Graduate Level Education in Data Science, Business Intelligence, Data Analysis with over 100 hours of live courses with hands-on projects.

● We are now planning to relaunch: Data Science IO 2.0 as an incubator program for talent: top data companies like Google, Facebook, Linkedin, Airbnb, Apple. Product Mind Product Growth 2019 Aug - 2020 Dec

● Interviewed more than 40+ leading product influencers, experts, senior leaders on deep insights into breaking into Product. Published findings in a 50k word book via New Degree Press. Was Mentored by Ex-VC, current business school professor @Georgetown University - Eric Koester. Awards and Achievements

● Forbes under 30 scholars

● Nasa JPL Intern, Top 4 Selection.

● Harvard Asia Pacific Conference Delegate, 2017, 2018

● IIT Bombay: Entrepreneurship Cell Student Board

● Google Mobile App Specialist Scholar

● ACM ICPC Amritapuri Onsite Nationals 2016

● Accenture Innovation Challenge Hackathon Finalist

● Offered 8VC Summer fellowship, 2018

● Served as a student partner for Mozilla

● Served as a Stanford Scholar Initiative Leader

● Offered Rough Draft VC Summer fellowship, 2018

● UCEK, Rotaract President, Lions International Secretary

● Best Selling Udemy Instructor with more than 20,000 students.

● International Mathematics Olympiad Gold Medalist

● Chief Minister of the State, Fellow, Scholar

● National Society of Leadership and Success Fellow

● Intel Artificial Intelligence Ambassador and Scholar

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