As an AI Product Growth Leader, I’m on a mission to revolutionize how businesses harness data and AI to drive innovation, accelerate growth, and scale impact. I lead with a strategic vision: to make data collaboration seamless, AI adoption intuitive, and business-centric innovation scalable.

At @DataGOL, I drive growth initiatives that position us as the go-to solution for intelligent business enablement. From BusinessOS to AI Agents and Self-Serve Analytics, I build intelligent experience engines that empower business users—not just data teams—to make faster, smarter decisions.

With 20+ years across enterprise SaaS, data platforms, and AI/ML products, I operate at the intersection of strategy, technology, and customer-centricity. My passion lies in translating complex capabilities into simple, scalable value—whether that’s through a game-changing product, a repeatable growth engine, or a transformative AI initiative.

I don’t chase hype. I build real-world, value-driven solutions that solve real business problems.

🤝 Let’s connect if you’re serious about using AI and data to redefine what’s possible for your business.

Vinod SP

Master of Quantitative Economics at UCLA

Special Reader for Econometrics and Python, to be updated…

Special Reader and Teaching Assistant

UCLA Anderson School of Management

- Conducted quantitative analysis on scientific literature by applying semantic distance metrics (Mahalanobis distance, cosine similarity, Euclidean distance, and dot product similarity) to measure novelty in academic research. Designed and optimized large-scale data pipelines to process 3000+ research abstracts, integrating NLP techniques and high-dimensional embeddings.

- Implemented efficient distance computation algorithms, reducing runtime by sampling strategies (random 50 paper selection) and vectorized operations using NumPy and SciPy. Developed and refined custom Python scripts for automated text processing, embedding parsing, and novelty measurement within a 3-year lookback framework.

- Investigated 4G standard developments, evaluated the impacts of different standards of 4G on 3G implications, and explored quantitative relationships maps between technologies, contributing to an accurate prediction on how technology renews itself

Research Assistant with Prof. Jane Wu

- Researched AI driven energy companies, utilized LLM to research on patents, AI adoption, predictive analytics, and energy optimization trends, identifying emerging innovations in grid resilience, storage, and AI-driven power management

- Synthesized findings into structured reports, supporting investment decisions, energy strategy development, and market intelligence. Analyzed market positioning, technology differentiation, and competitive landscapes across sectors like nuclear, renewables, grid management, energy storage, and AI-powered infrastructure, training the model for investing classification 

- Conducted detailed evaluations of energy and AI companies, classifying  as Success, Failure, or Uncertain based on funding, innovation, financial health, and industry impact using classification, utilized the result to test Open Source LLM model

Research Assistant with Prof. George Geis

Bonduelle Americas

- Using the VBA to optimize truck’s pallet placement and layout, saving 3,000-4,000 dollars per week for the cooperation

- Carrying out survey in two shifts of warehousing team, designing the incentive program and calculating the pallet per hour 

- Using JD Edward and TMS system to track the trucks and use pivot table to analyze the distribution of workload loading the trucks

Transportation & Operations Management Intern

Eurasia Center

Assistant to the Director

-Produced weekly economic reports on 5+ African countries, leveraging key indicators from the CIA and World Bank with advanced Excel, using Python and R models to clean and make regression, improving report accuracy by 20%

-Analyzed Chinese government policies’ impact on financial services using Python, focusing on market access for foreign firms and the dominance of state-owned enterprises, with insights published on Eurasia Center's website

-Using web crawler on global news, identified that new Chinese policies encourage foreign financial firm, like Chase, to re-enter the market, though state-owned enterprises continue to dominate, presenting significant competitive challenges

Research Assistant, NGO Volunteer 

South Florida Investor Social Club

-Conducted comprehensive financial analysis for recent investor events, including revenue breakdown, cost analysis, and profit margin evaluation; delivered actionable recommendations that improved future event profitability planning by 30%

- Identified early-stage investment opportunities across real estate and venture capital sectors by conducting market research, stakeholder profiling, and ROI assessments; supported negotiation processes, and maintained a pipeline tracker to monitor

- Facilitated deal matchmaking between investors and entrepreneurs; Arranging investors networks and hosting monthly meets

Finance and Deal Making Intern

UNICEF

-Managed 100+ Travel and Procurement requests within UNICEF’s system using Vision and Fiori, optimizing workflows by streamlined processes and significantly improving operational efficiency by 15% across departments

-Initiated and conducted micro and field assessments for 6 Individual Proprietors in China, developed shared working sheets, enhancing the evaluation process for business operations and informing strategic funding decisions

-Redesigned and rebuilt UNICEF’s finance and HACT SharePoint website using Microsoft and Python, improving functionality and streamlining access to financial resources while enhancing team productivity and user experience

-Contributed to UN programs in Xinjiang and Ningxia, supporting school-building projects and teacher training initiatives in underserved Muslim regions in China, fostering educational development aligning with UNICEF mission

Finance Analyst Intern

Morgan Stanley

-Enhanced quantitative stock selection by integrating daily stock news updates to an RNN-based pricing model, boosting stock prediction accuracy, optimizing trading strategy decision informed by econometric analysis by 15%

-Utilized Yahoo Finance to monitor crypto fluctuations, identifying key drivers of price movements for weekly reports

-Analyzed investment statements and data from BlackRock using a Random Forest model, creating 10+ presentations with actionable insights that informed strategic ideas, leading team discussion and guiding team decisions on projects

-Assessed the synergy effects and legal risks of Tesla’s acquisition of Twitter by tracking stock price fluctuations

Quantitative Trader

Volkswagen Group

-Authored 3 articles on sales data analysis, covering relationships, correlation coefficients, and seasonality patterns

-Using 10,000+ data sets, conducted short-term sales prediction for various V olkswagen models in Asia using Python time series and vector models, enhancing forecasting accuracy by 20% and optimizing inventory management

-Developed a comprehensive macroeconomic database, integrating 6 sets of ARIMA modeling and Choice matrix analysis, revealing a consumer shift to compact, fuel-efficient sedans influenced by factors like GDP and fuel prices

Strategy and Planning Department, Data Group 

China Asset Management Co., Ltd.

-Collated 15+ strategy manuals on Alpha investment methods, contacting with the fund managers for detailing information, analyzing portfolio strategies and quantifying Alpha using the Black-Scholes-Merton (BSM) formula

-Analyzed ETF performance, isolating product returns and assessing market sensitivity to identify shock drivers

-Coordinated 5+ roadshow exchange seminars, assessing fundamentals equity in ETF funds with 2022 data in China

Marketing Department, Product Analyst Assistant Intern 

China Galaxy Securities Co.

-Conducted 8 private equity management seminars, making notes of stock selection strategies for active CTA funds

-Drafted 5 PE contracts, and conducted interviews with managers to give them particular advice in pitching

-Compared differences between Gamma and Vomma strategy and presented the findings across department managers

Private Equity Specialist

Geek in Quantitative Modeling, Quantitative Analyst and Market Risk Analyst Field
Worked as an intern in Eurasia Center, UNICEF, Morgan Stanley, Volkswagen Group, China Asset Management, Galaxy Securities. Targeting in quantitative methods of investing and business analytics. 

90.5/100, Majoring in Investment and ranked as the 1st in my major. Studying in University of International Business and Economics as my final year. 
95.5/100, Studying in Business Analytics at 2023 Summer School of Imperial College London Business School
National Scholarship, Comprehensive First Class Scholarship, Outstanding Beijing's College Graduate, Outstanding Student in School Level. 

Finalist in 2022 Mathematical Contest in Modeling, Second Prize in China University Mathematical Modeling Competition

Team Engagement Excellence Award in the 2022 Cornell CICER Winter Research Program. 

Deputy Director of the Art Department of the College Student Union

Good at using Python, R, C++, Bloomberg and Excel. Capable of computing Java and Matlab.

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Vinod SP

Huitong Li

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