Shan Gupta

Shan Gupta Email and Phone Number

★ Head of Operations - AI and Revenue ★ @ Ratio
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

Shan Gupta's Current Company Details
Ratio

Ratio

View
★ Head of Operations - AI and Revenue ★
Shan Gupta Work Experience Details
  • Ratio
    Head Of Operations - Ai And Revenue
    Ratio Jan 2022 - Present
    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 Payable operations0. Capital Markets financing - Debt / Warehouse 1. Credit policy - Create and Maintain2. Pricing & Treasury Optimization 3. Risk Management & Currency Hedging4. Data science & Architecture5. Sales and servicing operations6. Due diligence on asset purchase7. Forecasting
  • Smileydoctor Dental Clinic
    Chief Financial Officer
    Smileydoctor Dental Clinic Oct 2005 - Present
    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 Generation: Developed innovative marketing solution based on high yield management to get highest ROI for every dollar invested
  • Cisco
    Head Ai Causal Macro Demand Forecasting
    Cisco Oct 2013 - Jan 2022
    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 for patent. CDF had a 100% causal impact on future customer purchase for direct and 2-tier customers validated over 12 quarters. CDF is created using LLM predicting the time of event and event severityMy team and me built transformational products which have been credited for sales and supply chain success:1. Customer Risk Engine2. Lead Time Integrity ( LTI )3. Customer Concentration4. NPS Loyalty Economics 5. Customer Churn Risk Models• 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• Created actionable "Customer Intent - Early warning signal” algorithm for Products/Suppliers saving over $6m in very first week• Mentored over 120 data scientists • Ranked consistently in top 20 in Cisco innovation challenge in 2016, 2017, 2018, 2019• Represented Cisco multiple times in "Growth Marketing Conference" and “Business Forecasting conference”Natural Language Processing ( NLP ) :• Engineered Cisco’s largest LLM “Business Domain Dictionary” with reinforcement learning with human feedback on understanding customer’s text data used by Sales / HR / Supply Chain / Support / Marketing . This algo was credited to save a $5.8 million deal in the first month alone Risk Management - Created model to understand Elasticity in the supply chain.
  • Moneychoice Capital
    Quant Director And Chief Investment Officer
    Moneychoice Capital Mar 2016 - Aug 2018
    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
  • Smarterme
    Chief Data Scientist
    Smarterme 2014 - 2016
    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 team from ground up- Transferring IP to MedalliaSmarterMe, aims to improve sales productivity by bringing AI / Intelligence to the flow of work. Counting enterprise customers such as Danaher ( Fortune 500 medical device ), Home Depot and GE, SmarterMe was recently acquired.
  • Hewlett Packard Enterprise
    Senior Market Intelligence Analyst
    Hewlett Packard Enterprise Jul 2013 - Oct 2013
    Houston, Texas, Us
    • Created marketing campaign with cost of $1.2 million to generate additional revenue of $323 million on laptop purchase
  • Informatica
    Senior Manager - Sales Forecasting And Customer 360
    Informatica Mar 2012 - Jul 2013
    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.
  • Hp
    Data Science Manager
    Hp Sep 2009 - Mar 2012
    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
  • Apple
    Senior Algorithm Engineer
    Apple Apr 2010 - Jul 2010
    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.
  • Cosco Shipping Lines
    Senior Data Scientist
    Cosco Shipping Lines Apr 2003 - Aug 2009
    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 in world today – COSCO, OOCL, Maersk, Hapag-Lloyd all using this algorithm. This supply chain algorithm covers all aspects of space / price /scheduling negotiations from a direct manufacturer to a consumer• 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 trade director of Europe said “It is best application for commercial people in the organization”.• Received 3 top level rewards for reaching out to providing innovative solutions and Leading cross functional efforts.
  • Hp Financial Services
    Analyst / Senior Engineer
    Hp Financial Services Mar 2000 - Apr 2003
    • 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
  • Gk Goh Stockbrokers Pte Ltd
    Risk Management Analyst
    Gk Goh Stockbrokers Pte Ltd Jan 1999 - Mar 2000
    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 products: E-Business Infrastructure, Intelligent Intranet.• Developed “Sales Forecasting System” for Motorola, employing complex algorithms to extrapolate “futures projections” targeted to global sales goal, securing further key sales with Motorola.

Shan Gupta Skills

Decision Support Data Warehousing Risk Management Data Analysis Machine Learning Oracle Business Intelligence Management Informatica C# Crm Business Process Analytics Enterprise Software Java Scrum Business Objects Business Analysis Databases Econometrics Sql Customer Relationship Management

Shan Gupta Education Details

  • Harvard Business School
    Harvard Business School
    Economics
  • Indian Institute Of Technology, Delhi
    Indian Institute Of Technology, Delhi
    Computers Science
  • Delhi University
    Delhi University
    Physics (Honors) With Math / Statistics
  • St. Xaviers School
    St. Xaviers School

Frequently Asked Questions about Shan Gupta

What company does Shan Gupta work for?

Shan Gupta works for Ratio

What is Shan Gupta's role at the current company?

Shan Gupta's current role is ★ Head of Operations - AI and Revenue ★.

What is Shan Gupta's email address?

Shan Gupta's email address is pr****@****hoo.com

What is Shan Gupta's direct phone number?

Shan Gupta's direct phone number is +183222*****

What schools did Shan Gupta attend?

Shan Gupta attended Harvard Business School, Indian Institute Of Technology, Delhi, Delhi University, St. Xaviers School.

What are some of Shan Gupta's interests?

Shan Gupta has interest in Education.

What skills is Shan Gupta known for?

Shan Gupta has skills like Decision Support, Data Warehousing, Risk Management, Data Analysis, Machine Learning, Oracle, Business Intelligence, Management, Informatica, C#, Crm, Business Process.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.