Prashant Dhingra

Author of Generative AI Finance paper. Building Data Products using Generative AI, AI, knobs at DataKnobs, Ex-Microsoft, Google, JP Morgan Chase. Redmond, Washington, United States.

prashant dhingra
Summary

A brief info about Me

Experience Summary
May 2022 - Chief Technology Officer, Startup(s)
2019 - 2022: Managing Director (Machine Learning and Engineering)
2016-2019 : Data Science Leader at Google.
2004-2016 : Director/Principal at Microsoft
1993-2004 : Architect and engineering lead in consulting companies.
I am building Data products. My team includes - Data Scientists,
Machine Learning Engineers, Full stack developers, data engineers,
product managers and architects.
Prior to Pluto7/startup(s) I worked as Managing Director for Machine
Learning & Engineering. I built transformative machine learning
products, data products and analytics solutions.
Prior to joining JP Morgan Chase, I led data science initiatives
at Google. I played a key role in Google Kaggle acquisition and
architected how data science competitions can be run on highly
confidential data on Google Cloud.
At Microsoft, I worked on Azure ML, Bing, and SQL Server
products. While working for bing.com I built an Audience intelligence
platform for Microsoft. Audience intelligence platform is used for
Behavioral Targeting on all Microsoft properties such as bing.com,
msn.com, Hotmail, etc.
I wrote a book on SQL Server and a chapter on machine learning in
NOAA book.
I also have expertise in handling data privacy, governance,
differential privacy, cyber security, and applying machine learning for
Displaying content on multiple web
pages
Event based Ad Targeting
user/audience data. I have certification in handling data privacy and
differential privacy.

Experience

DataKnobs

Chief Data Science & Technology Officer | February 2023-Present | Seattle, Washington, United States

Products Built:

2023: Working with startups to deliver generative AI, AB testing, and integrate machine learning into data products. Built a product related to generative AI and capabilities to add compliance in generative AI.
Built Chatbot using ChatGPT, OpenAI.
2022: Worked as CTO/CDO and built an intelligent supply chain for a startup including Demand Sensing, Raw Material Forecasting, Smart Factory, Distribution Requirements Planning, and Inventory Positioning.
Technologies used: Machine Learning, Data, Google Cloud Platform, Azure, AWS, SAP
Leader for data scientists, cloud engineers, architects, and customer success managers.

HIVE TA Technologies Inc.

Chief Data Science & Technology Officer | September 2023-Present

Achievements:
Build Chatbot for Tax and Financial Planning.

Supply Chain Startup

Chief Technology Officer | May 2022-February 2023

Achievements:
Build AI solutions on GCP including forecasting and demand sensing.

JPMorgan Chase & Co.

Managing Director (Machine Learning and Engineering) | January 2019-May 2022 | Greater Seattle Area

Achievements:
Built data products such as Earning Call, Stock Signals, NLP-SQL.
Delivered transformative machine learning use cases across the firm.
Provided thought leadership and delivered innovative products.
Examples of use cases:

  • Stock signal for high-frequency trading.
  • Simulator for stock trading using reinforcement learning.
  • Customer feedback and sentiment analysis.
  • Models to find anomalies in cyber data.
  • Payment prediction and claims models.
  • Stock buyback.

Google

Data Science Leader | December 2016-January 2019 | Greater Seattle Area

Achievements:
Acted as head of the Machine Learning practice in the USA and Canada.
Led many data science initiatives including the Google-Kaggle acquisition.
Examples of projects:

  • ML to improve English in documents.
  • Predictive Maintenance using IoT signals.
  • Smart cities and streets model(s) to identify road conditions.
  • Vehicle usage determination based on IoT data.
  • Visual anomalies detection using photos.

Microsoft

Principal - Azure Machine Learning | May 2014-December 2016 | Redmond

Achievements:
Worked on Bing Machine Learning, Azure Machine Learning, and SQL Server.
Key projects:

  • Developed "Opportunity Scoring" model for Microsoft CRM.
  • Sales and Marketing models for customer segmentation and churn prediction.
  • Flood forecasting solution with NFIE.

Steria Group

Software Engineering Lead | February 1994-October 2003

Achievements:
Architected various solutions for clients including Halifax Bank and Bank of Scotland.
Led development of NSPIS and various customer projects.

Softek India

Assistant Engineer | July 1993-February 1994

Achievements:
Worked on testing of Fortran compiler.

Education

University of California, Berkeley

Master of Science - MS, Data Science

Maharshi Dayanand University

Engineer’s Degree, Computer Science (July 1989 - June 1993)

Quantic School of Business and Technology

Executive MBA, Finance, General (2019)

Skills

Tools and Technologies I Know

Data Governance
Large Language Models
Generative Components
Python

Achievements
Microsoft Gold Star
Architecture for complex mobile application
Growing customer account and team
IP/Innovation award at Google

Licenses and Certifications

Exploratory Data Analysis
The Data Scientist’s Toolbox
R Programming
Bachelors's degree - Diploma in business management
Machine Learning

Publications

Approaches for Email Classification

A comprehensive study on advanced methods for classifying emails, focusing on improving accuracy and efficiency.

SQL CE Tools

An exploration of tools and techniques for working with SQL Server Compact Edition, including optimization strategies and practical applications.

Streamflow Hydrology Estimate Using Machine Learning (SHEM)

A research paper on utilizing machine learning techniques for estimating streamflow in hydrology, focusing on enhancing prediction models.

Earning Call Summarization - Template Aware Attention Model

A detailed study on summarizing earning calls using a template-aware attention model, aiming to improve the extraction of key information.

Languages I Speak

Hindi (Native or Bilingual)
English (Full Professional)

Contact

prashantkdhingra@gmail.com

https://www.linkedin.com/in/prashantkdhingra/

https://prashant.k.dhingra.website/

© Kreatewebsites, All Right Reserved