Product Manager Data Science

Rakesh Naga Chinta

Website: www.rakeshchinta.com, www.nagvision.com Email:*******@*****.*** Phone: 248-***-**** Linkedin: https://www.linkedin.com/in/rakesh-naga-chinta Education

University of Michigan, Ann Arbor Bachelors - BGS in Computer Science & Business Fall 2017 - Summer 2020

(Honors program, Graduated with Honors, 3x Dean’s List) Harvard University Masters in Management: Focus in Law, Strategy Fall 2020 - Fall 2023 Northwestern University Masters in Law: Technology Law & Business Law Summer 2023 - Fall 2025 Indian Institute of Management, Calcutta (IIM-C) Exec MBA: Focus on Entrepeneurship and Innovation Summer 2023 - Spring 2025 University of Chicago, Booth School of Business Pre-MBA Studies Graduate Program Summer 2023 - Spring 2025 John Hopkins University - Carey School of Business MBA: Healthcare Innovation and Leadership/Admin Spring 2025 - Summer 2027 University of Pennsylvania Master of Science: Organizational Psychology Summer 2026 - Spring 2027 Harvard Business School Pre-MBA Studies in COR-E, HBS: Peak Weekend, Summer Venture Program Stanford University Graduate Master’s Credit Program - Management Science and Engineering (Present) Invited for Silicon Innovation Academy Fellow, STVP, Ignite (Part-Time) MIT Micromasters: Data Science & Statistics (Present) Fellow for MIT Entrepreneurship: Innovation Bootcamp Work Experience (Full-Time)

Microsoft Senior Product Manager Spring 2021 - Present

● Spearheaded an internal product, achieving scalability to over 20,000 users within Microsoft over 2 years.

● Orchestrated a Cloud Infrastructure System, consolidating disparate silos/processes and generating over $30 million in annual savings.

● Led enhancements to an internal build engine, increasing reliability by approximately 18% and performance by approximately 30%.

● Pioneered processes/architecture standardization across Microsoft, impacting over 50 unique sub-organizations.

● Implemented measures to address over 25 critical security issues, resulting in a 10% reduction in critical incident requests within my division.

● Managed compliance with the Government Executive Order for Operating System X, ensuring Microsoft's adherence to US government standards. Facebook/Meta Technical Product Manager (Contract) Winter 2021 - Spring 2021

● Led the end-to-end development and deployment of critical features within enterprise products, orchestrating seamless integration across various systems and platforms.

Tesla Technical Product Manager (Contract) Winter 2021 - Spring 2021

● Led the meticulous gathering and analysis of requirements for in-house tool development projects, ensuring alignment with workplace safety and sustainability objectives

SingleStore (Ycombinator Series D+) Product Manager Fall 2020 - Winter 2021

● Delved into a dataset comprising over 100,000 entries to extract meaningful patterns and trends. Utilized advanced analytics techniques to identify correlations, anomalies, and areas of improvement related to trial engagement and conversion. SpaceX Technical Project Manager Summer 2020 - Fall 2020

● Collaborated closely with the data science team to leverage their expertise in analyzing HR datasets. Together, we delved into existing data to quantitatively assess patterns and trends related to employee churn. This analysis provided valuable insights into administrative pain points and potential areas for improvement.

Pathrise (Y-Combinator Series B+) Product Manager Spring 2020 - Summer 2020

● 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. Work Experience (Internship/Part-Time)

Nvidia Technical Product Manager Summer 2020 - Fall 2020

● 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 and handling bug and feature requests. Maintaining metrics for pull requests, contribution, and error handling/resolution.

Takeme.to (Founded by Ex-Loom Exec) Product Manager Summer 2020 - Fall 2020

● Identified and reached out to key influencers whose audience demographics aligned with our target market. Leveraged persuasive communication and value propositions to entice influencers to use the product and share their experiences with their followers. Mckinsey Summer Fellow Summer 2020 - Fall 2020

● Led marketing, sales, and customer service teams to implement a strategy that boosted inbound and outbound leads by 25%, driving the development of automated marketing channels that aligned with the company's long-term financial goals. I also liaised between technical/engineering teams and stakeholders, streamlining requirements gathering, prioritization, and solution evaluation. Apple Technical Product Manager Spring 2020 - Summer 2020

● GSOC: Enhanced the Swift compiler to support localized diagnostic messages, significantly improving accessibility for non-English speaking developers. This project involved modifying the compiler's architecture to dynamically generate tailored diagnostic feedback in multiple languages, thus bridging the communication gap and boosting productivity for a global developer community. This initiative led to a measurable increase in user engagement and inclusivity.. Titan (YC) Product Growth Spring 2020 - Summer 2020

● Was responsible for establishing Titan’s presence within Ann Arbor/UofM. Conducted workshops and 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 Point (YC) Product Growth Fall 2019 - Winter 2020

● Was responsible for establishing Point’s presence within Ann Arbor/UofM. Brought onboard 15+ local dealers to offer onboarding deals. Total Students: 200+ J.P Morgan Technical Product Manager Extern Fall 2019 - Winter 2020

● 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, and Interest Rates Proquest AI Product Management: ML & Data Winter 2019 - Winter 2020

● 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 compete in the market competitively

● Build a custom tag generator using state-of-the-art NLP packages: FLAIR, PyTorch; automatic highlighting, dynamic feedback form, Web app integration. Silent Quadrant Product Manager Winter 2019 - Summer 2019

● 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

● Silent Quadrant Password Protection will check the user's email/password to see whether or not the user's email OR password has been breached in the past. MIT Media Lab Product Manager Summer 2018 - Fall 2018

● Helped develop the project "Question Tool Integration," working with a team of 3 students with a wide array of technical experience.

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

● The tool was later integrated with Harvard Berkman’s Center of Internet and Society as an internal communication tool. Uber Product/Business Analyst Winter 2017 - Summer 2017

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

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

● Made use of the marketing budget by scheduling local partnerships strategically, hence used 30% of the allocated budget to achieve 300% of desired results. Google Technical Product Manager Summer 2017 - Fall 2017

● GSOC: Lead/Drove product for Integrating Wiki Library’s open-source database into a visual hierarchy based on timestamps along with a calendar implementation. Led a team of 4 interns and volunteers to build a series of individual products.Mentors - Director: Mark + Co-Founder of the Internet: Vint Cerf Investor/VC Experience

Soma Capital Venture Capital - Ad Hoc Investment Analyst Summer 2020 - Fall 2020

● 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

Heartland VC Venture Capital - Investment Analyst Winter 2020 - Summer 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 Unshackled VC Venture Fellow / Investment Analyst Summer 2019 - Fall 2019

● Identified promising startups and companies with high growth potential and alignment with the fund's investment thesis. Utilized a rigorous screening process to evaluate market opportunity, team capabilities, product differentiation, and traction. Pitched selected targets to managing partners, articulating compelling investment cases, and highlighting strategic fit with the fund's objectives Hyperspace VC Product Manager / Investment Analyst Summer 2019 - Fall 2019

● 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 Indian Institute of Management, Calcutta Venture Capital analyst Spring 2017 - Summer 2017

● 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. Personal Startup Experience

NAG Show Host, Founder Winter 2021 - Present

● I am interviewing product leaders, executives, and entrepreneurs having years of experience launching new products/ driving innovation in their fields Quadrant (YC Startup School) Summer 2019 - Summer 2020

● 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. Enigma, Lance (General Catalyst ‘19 Accelerator) Founder Present Product Mind Author Fall 2019 - Summer 2020

● Interviewed more than 40+ leading product influencers, experts, and 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 at @Georgetown University - Eric Koester. Amazon Influencer Program Summer 2018 - Winter 2019

● Ran a part-time business with 2 employees, marking up an average of 7000 in revenue per month from affiliate and influencer margins: Store/External Fellowships/Fellow Experience

MIT LaunchX Product/Mentor Fellow Summer 2021

● Mentored and offered product/strategy guidance to high-school students aiming to bring several ideas into the market. Kleiner Perkins Product Management Fellow Summer 2020

● Was selected as one of the 16 Product Fellows for KP program - was offered to join Uber as an APM Intern before Grad School at Harvard / Full-time SpaceX Intel AI Scholar AI Student Leader Spring 2019 - Spring 2020

● Worked as an ambassador of Intel AI initiative: helping students become aware of intel’s data science and machine learning roles for new graduates Google Student Machine Learning Fellow Summer 2019

● Offered Google Machine Learning residency for the summer of 2019 to work on machine learning projects, research papers. Microsoft Student Partner Spring 2017 - Spring 2019

● 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. Google Google Student Lead Spring 2017 - Spring 2019

● Campus representative for Google, representing Android development, hackathons, seminars, and 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 mobile applications and launch their online presence. Helped train more than 700 students in the fundamentals of Machine learning/ Google Codelabs. Research/Teaching Experience:

Udacity Product Management - Mentor Winter 2020 - Fall 2020 Stanford Graduate School of Business ML Research Intern Winter 2019 - Summer 2019

● 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. I visualized all my findings and secured feedback over several instances. Indian Institute of Statistics Machine Learning Research Intern

● Project Lead for HIV-AIDS Sentimental Analysis within Social Media, Twitter, and articles from 2000+ sources within India and the USA. Govt.of India - Yanam Program Manager Lead Winter 2019 - Spring 2019

● 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 donations 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 Harvard University Teaching Assistant Summer 2018 - Fall 2018

● Remote Chapter TF for Harvard’s Introductory Computer Science course, CS50, the largest course at Harvard with an enrollment of 800+. Govt. of India, Council for Scientific and Industrial Research Machine Learning Research Intern Winter 2017 - Summer 2017

● Mentored by Dr. Sukant Khurana B.SC, M.SC, Ph.D. IISER. Taken the responsibility of managing a research project that 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 on the findings IIT, Bombay Product Management Intern Fall 2016 - Winter 2017

● Led the development of Android applications targeted at solving present situations in India: Plant recognition + Women Security App - presented in IIT’s Tech Expo and received Innovation of the Year award, the central government granted a total funding of 10,000,000 rupees for funding of the project 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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