
Cong N.
5.0
Coaching Career Pivots into FAANG | Ex-Apple & DoorDash Data Science Leader

Studied at Wisconsin School of Business
Worked at Apple
Hiring Manager
Available Monday at 12:00 AM UTC
Questions? Start chatting with this coach before you get started.
Cong’s Data Science Qualifications
Coaches professionally
Experience level: Executive
50+ people coached for Data Science
Welcome to my profile! With a strong foundation in data science and analytics, I bring hands-on experience from top tech companies like Apple and DoorDash. At Apple, I led customer analysis for flagship product lines, delivering strategic insights to C-level executives. At DoorDash, I headed a team focused on accelerating growth through advanced analytics, driving measurable impact across marketing and product. Now, as the founder of Npiphany, I help high-achieving professionals break into data science or level up their careers with clarity, resilience, and purpose. My coaching blends industry know-how with personalized strategies to help you stand out, get hired, and thrive. Whether you're pivoting, aiming for your first data role, or seeking that next big step—let’s connect and chart your path to success.
Cong can help with:
Skill Building
Data Visualization
Data Cleaning and Preprocessing
LinkedIn Review
Data Science Strategy
Promotion Strategy
Cover Letters
Predictive Modeling
Resume Review
Networking Strategy
Freelancing
Salary Negotiation
Technical Interview Prep
Statistical Analysis
Machine Learning
Behavioral Interview Prep
Cong also coaches for Career Development, Business Analytics & Intelligence, Economics, and Leadership Development. View all.
About Cong
I’m Cong, an economist and data leader who made a direct leap from analytical consulting into tech—landing at the staff level without “starting over.” That pivot wasn’t just a career move—it was a complete expansion of impact, scope, and ultimately, how I saw my place in the world. Before tech, I was already deep in the numbers—solving complex business problems in consulting roles. But the shift into companies like Apple and DoorDash opened a new chapter. At Apple, I led customer analysis for global product lines with billions in revenue. At DoorDash, I shaped growth and retention strategies by building cross-functional analytics from the ground up. These weren’t just bigger roles—they were different roles, requiring a shift in mindset, communication, and self-belief. Making that leap taught me what’s really required to thrive in top-tier tech environments—and it had nothing to do with starting from scratch. Now, I help others do the same: turn their hard-won experience into meaningful value in a new industry, without compromising who they are. If you're ready for a bold pivot and a bigger stage, I'm here to help you make it happen.
Why do I coach?
I coach because I’ve been through the kind of transition many of my clients face. I moved from analytical consulting into a staff-level role in tech—not by following a typical path, but by learning how to communicate my value and trust my strengths in a new environment. That pivot changed not just my career, but how I saw myself. Along the way, a few mentors made a big difference. They helped me reconnect with what I really wanted, see my blind spots, and move forward with clarity. Now I do the same for others. I coach professionals who are smart, capable, and ready for change—but unsure how to take the leap. Coaching isn’t just about landing a new job. It’s about stepping into who you’re meant to be, with confidence and purpose.
Work Experience

Coach/Founder
Npiphany
June 2024 - Present
Hiring Manager
Helping high-achieving professionals master resilience, make confident decisions, and achieve conscious success—with less stress and more purpose.
Economist
Cambly
October 2023 - Present
Admissions Committee Experience
Marketing Effectiveness
Manager, Data Science
DoorDash
July 2021 - March 2023
Hiring Manager
▪ Led a team to cover analytics needs of growth marketing and product partners. ▪ Oversaw cross-functional efforts in product launch with product managers, operation, software and ML engineers. ▪ Designed, launched and analyzed experiments to generate growth, improve CLV and effectiveness of retention efforts. ▪ Developed end-to-end processes and pipelines from ETL to data visualization to track promotion campaigns averagedat 500+ weekly and worth $500M+ through A/B tests simultaneously; provided guidance on promotion strategies. ▪ Provided opportunity sizing, deep dive analysis and recommendations to senior leadership on short-term promotion efficiency and long term payback. Data Science, Management and +19 skills
Staff Data Scientist
Apple
June 2018 - July 2021
Admissions Committee Experience
▪ Led the $200B+ iPhone and iPad customer analysis for Worldwide Product Marketing, Finance and business operation; decision and earning supports for c-level executives, VPs, sales and operation leaders. ▪ Designed and implemented machine learning model based forecast solutions ((D-Trees, Random Forest, Time Series) for iPhone and iPad NPI. ▪ Provided price elasticity analysis and recommendations for global pricing committee for iPhone and iPad. ▪ Designed and built KPI Tableau dashboards to track product launch and on going performances. ▪ Analyzed campaigns effectiveness through marketing mix modeling and quasi experiment designs. ▪ Delivered statistical model based insights and recommendations in customer segmentation, cohort analysis, purchase cycle analysis and CLV analysis. Data Science, Data Analytics and +19 skills
Education
Peking University
Bachelor, Risk Management and Insurance, Economics
Presentations, Data Analytics and +2 skills

Wisconsin School of Business
Master of Science, Statistics
Presentations, Data Analytics and +3 skills
5 Reviews
Overall Rating