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Shan Gupta Email & Phone Number

★ Head of Operations - AI and Revenue ★ at Ratio
Location: Walnut Creek, California, United States 12 work roles 4 schools
1 work email found @cisco.com 14 phones found area 832, 408, 281, 713, and 650 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 14 phones

Work email p****@cisco.com
Direct phone (832) ***-****
LinkedIn Profile matched
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Current company
Role
★ Head of Operations - AI and Revenue ★
Location
Walnut Creek, California, United States

Who is Shan Gupta? Overview

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Quick answer

Shan Gupta is listed as ★ Head of Operations - AI and Revenue ★ at Ratio, based in Walnut Creek, California, United States. AeroLeads shows a work email signal at cisco.com, phone signal with area code 832, 408, 281, 713, 650, and a matched LinkedIn profile for Shan Gupta.

Shan Gupta previously worked as Head of Operations - AI and Revenue at Ratio and Chief Financial Officer at Smileydoctor Dental Clinic. Shan Gupta holds Economics from Harvard Business School.

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Email format at Ratio

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*@cisco.com
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Profile bio

About Shan Gupta

Management Experience✓ Translating business strategy into technical strategy✓ Cost management and budget creation✓ Bridging the gap between business and engineering by translating engineering performance into business terms✓ Listening to the client voice and other company departments, and creating a technical product a big market of people want, at the right cost, speed and quality for the business stage and market forces ✓ Making a business case for the resources needed for engineering to deliver the business strategyFunctional Expertise:• Demand Forecasting – Customer behavior, Competitor influence, Marketing alignment • Demand Generation - Growth Hacking - Managed $2.1M in Google/Facebook ads with CTR@22.86% and 10.83% conversion increase QoQ. • Risk Management – Market, Credit, Operational, Fraud/Risk Detection• Risk Modeling – VaR, EVT, Black-Scholes, Monte Carlo, Credit Exposure• Digital Marketing, SEO, Google Analytics, Facebook Marketing, A/B Testing, ASO• Finance and Accounting – P&L, Balance Sheets, Cash Flow, AI ExpertisePrompt engineering, make.com, training and maintaining model • Mathematical and Statistical Analysis - Probability, Regression,Causation, Correlation, Forecasting, Optimization, Multivariate Analysis, PCA,• Generative AI, Regression, Clustering, Decision Trees, K-Means, Neural nets, Naive Bayes, Artificial Intelligence, Tensorflow, Theano, Keras, Deep Learning, LSTM, RNN• Predictive Modeling and Analytics: R, SAS, Excel, Octave, SciPY, NumPY, Pandas,Tableau, SAS, Business Objects, Pentaho• Langchain, LLM, GCP, Azure, AWS, Snowflake, Python, R, SAS, Java, SQL• AI Agents: Dialogflow, Rasa, Twilio

Listed skills include Decision Support, Data Warehousing, Risk Management, Data Analysis, and 18 others.

Current workplace

Shan Gupta's current company

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Ratio
Ratio
★ Head of Operations - AI and Revenue ★
AeroLeads page
12 roles · 12 years

Shan Gupta work experience

A career timeline built from the work history available for this profile.

Head Of Operations - Ai And Revenue

Current

San Mateo, California, US

Secured $8 million in equity investments and $400 million in debt financingProactive risk mitigation for a high-performing portfolio with ZERO delinquencies ($400M over 3 years)Collaborate with CEOs and CFOs to maximize capital efficiency and identify the most effective strategies for implementing change.Responsible for:All Accounts Receivable and Accounts.

Jan 2022 - Present

Chief Financial Officer

Current

Strategic planning: Developing financial strategies and helping businesses reach their goals Automation: Extensive use of open source systems with customization's helped saving over 500K as compared to of the shelf softwareFP&A: Converting analysis it into actionable information.Using analytics generated revenue from 0 to 350K in less than 2 years. Demand.

Oct 2005 - Present

Head Ai Causal Macro Demand Forecasting

San Jose, CA, US

  • Responsible for projecting Cisco earnings based on supply chain and customer demand insightsFor $52 Billion portfolio, reduced friction in Customer journey by 7% leveraging CDF (Cognitive Demand Forecasting) applied.
  • Evangelized customer cognitive analytics to pre-emptively transform customer behavior
  • Created an escalation risk engine predicting $762 million bookings expedites 2 weeks earlier with 87% success rate
  • Predicted Cisco’s 6 quarter bookings by creating a 100% automated quant framework using macroeconomics
  • Lead CX demand analytics for 7 years and increased NPS from 37 to 64 by understanding “true” needs of the customer.
  • Responsible for being Voice-Of-Customer, Forecasting NPS and setting NPS goals
Oct 2013 - Jan 2022

Quant Director And Chief Investment Officer

Antioch, California, US

- Developed algorithms to predict markets behavior based on quantum analytics- Quantitative models have consistent 76+% accuracy every year- Transaction cost inclusive model- Macro Causal models

Mar 2016 - Aug 2018

Chief Data Scientist

Detroit, MI, US

Update: The app partnered with Salesforce.com and got acquired by a VC FirmResearch and development of proprietary IQ's - Creating Advertising and Marketing algorithms with their ROI - Saleforce IQ - Follow up IQ - Tracking IQ - Interaction IQ - Machine learning for prediction of sales cycles- Growth Hacker for Marketing Analytics- Building data science.

2014 - 2016 ~2 yrs

Senior Market Intelligence Analyst

Houston, Texas, US

  • Created marketing campaign with cost of $1.2 million to generate additional revenue of $323 million on laptop purchase
Jul 2013 - Oct 2013

Senior Manager - Sales Forecasting And Customer 360

Redwood City, CA, US

  • Created Machine learning models for maximizing productivity and effectiveness of Sales users.
  • Lead/Manage "Customer 360 report" in organization. The report provides Finance, Marketing, Sales, Support, License data analytically to assist sales team to close deals quickly and for cross-sells / up-sells
  • Lead MDM - Siperian (Master Data Management) related programs. Designed processes to ensure there is a single source of truth (golden record) for Companies and Customers.
  • Designed the “Sales Management scorecard”. It provided actionable insight to "C Level" executives to manage Sales execution life cycle.
  • Designed processes/tools for Sales/Marketing analytics - analyzing sales rep productivity and account planning.
Mar 2012 - Jul 2013

Data Science Manager

Hp

Palo Alto, CA, US

  • Led teams for creating HP’s largest SAAS data warehouse. It caters to over 20,000 enterprise and SMB customers
  • Managed two teams of 5 (Data Science/Modeling) and 5 (Performance) people
Sep 2009 - Mar 2012

Senior Algorithm Engineer

Cupertino, California, US

This was for Gracenote / Apple project Responsible for designing and developing an algorithm connecting Apple's iTunes with Gracenote's music database.

Apr 2010 - Jul 2010

Senior Data Scientist

Shanghai, CN

  • Created Cargosmart (https://www.cargosmart.com)- Created world’s first algorithm for maximizing yield (Price/Volume/Time) for container shipping lines. This is backbone for most of the largest shipping container lines.
  • Designing and developing tools for Global Supply Chain optimization, Credit Risk and Yield management.
  • Designed and modeled the application for Pricing and Resource optimization. The Risk Management tools developed are being used by senior management to understand and mitigate various operational and credit risks.
  • Creation of algorithms for demand forecasting
  • Analyzed and integrated the information from Operations, Pricing and Credit management teams to provide various levels of view of information needed by Pricing and Sales people for negotiating future contracts. The.
  • Received 3 top level rewards for reaching out to providing innovative solutions and Leading cross functional efforts.
Apr 2003 - Aug 2009

Analyst / Senior Engineer

Hp Financial Services
  • Lead HP Financial Services – “Pay-Per-Use” program to generate $180 million in revenues in 3 months
  • Created counterparty credit risk models to quantify B2B and B2C risk
Mar 2000 - Apr 2003

Risk Management Analyst

SG

  • Designed and developed a set of reusable COM components encapsulating business logic for workflow, order processing, credit approval, security. The components saved considerable development time across multiple.
  • Developed “Sales Forecasting System” for Motorola, employing complex algorithms to extrapolate “futures projections” targeted to global sales goal, securing further key sales with Motorola.
Jan 1999 - Mar 2000
4 education records

Shan Gupta education

Economics

Harvard Business School

Masters In Computers Application, Computers Science

Indian Institute Of Technology, Delhi

Bachelors, Physics (Honors) With Math / Statistics

Delhi University

Education record

St. Xaviers School
FAQ

Frequently asked questions about Shan Gupta

Quick answers generated from the profile data available on this page.

What company does Shan Gupta work for?

Shan Gupta works for Ratio.

What is Shan Gupta's role at Ratio?

Shan Gupta is listed as ★ Head of Operations - AI and Revenue ★ at Ratio.

What is Shan Gupta's email address?

AeroLeads has found 1 work email signal at @cisco.com for Shan Gupta at Ratio.

What is Shan Gupta's phone number?

AeroLeads has found 14 phone signal(s) with area code 832, 408, 281, 713, 650 for Shan Gupta at Ratio.

Where is Shan Gupta based?

Shan Gupta is based in Walnut Creek, California, United States while working with Ratio.

What companies has Shan Gupta worked for?

Shan Gupta has worked for Ratio, Smileydoctor Dental Clinic, Cisco, Moneychoice Capital, and Smarterme.

How can I contact Shan Gupta?

You can use AeroLeads to view verified contact signals for Shan Gupta at Ratio, including work email, phone, and LinkedIn data when available.

What schools did Shan Gupta attend?

Shan Gupta holds Economics from Harvard Business School.

What skills is Shan Gupta known for?

Shan Gupta is listed with skills including Decision Support, Data Warehousing, Risk Management, Data Analysis, Machine Learning, Oracle, Business Intelligence, and Management.

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