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Rajeev S. Email & Phone Number

Experienced Specialist in Machine Learning and Data Science / Analytics at Network Tools, Inc.
Location: Redwood City, California, United States 6 work roles 10 schools
1 work email found @quotient.com 3 phones found area 408 LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 86%

Contact Signals · 1 work email · 3 phones

Work email r****@quotient.com
Direct phone (408) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Network Tools, Inc.
Role
Experienced Specialist in Machine Learning and Data Science / Analytics
Location
Redwood City, California, United States

Who is Rajeev S.? Overview

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Quick answer

Rajeev S. is listed as Experienced Specialist in Machine Learning and Data Science / Analytics at Network Tools, Inc., based in Redwood City, California, United States. AeroLeads shows a work email signal at quotient.com, phone signal with area code 408, and a matched LinkedIn profile for Rajeev S..

Rajeev S. previously worked as Senior Director of Machine Learning at Network Tools, Inc. and Principal Data Scientist - Team Lead at General Electric Aviation. Rajeev S. holds Artificial Intelligence Program - Reinforcement Learning from Stanford University.

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Email format at Network Tools, Inc.

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*@quotient.com
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AeroLeads found 1 current-domain work email signal for Rajeev S.. Compare company email patterns before reaching out.

Profile bio

About Rajeev S.

Experienced, energetic, visionary, results-oriented director of machine learning with professional experience in machine learning, software engineering and data science. Cross-functional leadership experiences in multiple application domains including e-commerce recommendation systems, information retrieval, advertising technology, quantitative finance, industrial manufacturing and telecommunications. Actively seeking leadership / management positions in machine learning and data science. SPECIALTIES:• Innovating, setting business vision, building, and managing data science teams for high productivity• Managing complex data science projects effectively from conception to production delivering a high return on investment and business impact with models that have high predictive power • Proven track record and expertise with machine learning and deep learning in multiple domains: recommendation systems, time series modeling, natural language processing, computer vision, quantitative finance• Effective communication, organizational and cross-functional interfacing skills• Architectural visionary arising from years of hands-on expertise in machine learning and deep learning AREAS OF EXPERTISE: • machine learning, data science and data analytics• deep learning in multiple application domains including recommender systems, time series modeling, natural language processing, computer vision, quantitative finance

Current workplace

Rajeev S.'s current company

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Network Tools, Inc.
Network Tools, Inc.
Experienced Specialist in Machine Learning and Data Science / Analytics
6 roles · 22 years

Rajeev S. work experience

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

Senior Director Of Machine Learning

Current
Network Tools, Inc.

Specialist in language modeling, NLP, large language models (LLMs) etcManaged multiple model building software projects for various business problems of a major e-commerce businessTechnical direction, design, and implementation of predictive machine learning math models to support many business functions:• Built deep learning models for Natural language processing (NLP) using BERT (transformer) and large language models (LLMs) like GPT-3, T5, T5-FLANo Modeling for improving semantic search relevance and product recommendations using cutting edge NLP techniqueso Programming OpenAI and OLlama LLMs for evaluating and improving the relevance of recommended furniture products .o Improving the relevance of search queries typed by consumer on website for furniture productso LLM prompt programming and tuning, ColBERT, DSPy, Haystack, FAISS o Natural language processing to analyze texts using BERT (transformer) and instruction-tuned models like GPT, T5-FLAN.o Text generation using large language models like GPT, Bloom, T5-FLAN and feature attribution for Roberta text predictions.. T5-FLAN model tuning for various NLP uses. Reduced need for text data for training by over 1000 timeso NLP modeling for sentiment recognition in textual surveys and comments using Stanford Sentiment Treebank (SST)• Modeling for growth marketing: Built predictive models to predict user acquisition / lead generation.• Modeling for patient outcomes prediction using data from biomarkers and phenotypes using classical and DNN techniques in tensorflow• Models using techniques from reinforcement learning with applications to advertising technology. Web consumer focused modeling for product recommendations, semantic search and website personalization.

2020 - Present ~6 yrs 6 mos

Principal Data Scientist - Team Lead

General Electric Aviation

Designed and implemented predictive machine learning models and data analytics to solve a variety of business problems in corporate finance, manufacturing yield improvement, statistical process control, and financial forecasting. Business impact of my models was savings to GE of over $300 millionAwarded: Technology Titan 2019 Digital Engineering Excellence 2019Software engineering and hands-on project management for machine learning solutions and deep learning models. Programmed machine learning modeling projects in pytorch, tensorflow, R, and Matlab for:• corporate finance. - using statistical machine learning techniques• manufacturing process yield improvement - using traditional machine learning techniques• computer vision algorithms based image classification to identify bad jet engine parts - using deep learning techniques of CNN, generative models• forecasting for multi-variate time series. - using deep learning techniquesLed and managed globally distributed teams of talented data scientists to execute projects

2016 - 2020 ~4 yrs

Principal Machine Learning Engineer

Jersey City, Nj, Us

Researched and designed machine learning models for e-commerce coupon recommendation system to increase revenue from website visitors, to predict customer affinity for brands and products and to increase website revenue by serving more relevant ranked brands /product item sets in real time. Text mining / natural language processing, deep learning with word embeddings and incorporating time series of sales quantity history. Filed patent number 14921068 in October 2015. Architected and implemented the system for high performance in Apache Spark.

2014 - 2016 ~2 yrs

Senior Vice President / Senior Manager - Capital Markets

Charlotte, Nc, Us

Managed software development, data analysis and math model implementations for forecasting economic and Basel regulatory capital, leading a global team of quantitative analysts / software engineers• Partnered with executives, business stakeholders and business analysts (product managers) to define roadmaps for porting archaic SQL-based risk models for market and credit risk to a modern infrastructure using R, python, and Hadoop• Quantitative analysis and programming in R/python of econometric math models

2010 - 2013 ~3 yrs

Senior Project Manager

Pasadena, California, Us

Managed software engineering projects in Java for this leading fixed-income asset manager. Thought leadership and insight communication between bond portfolio managers and software engineering team, defining requirements and functional design specs, and managing software developers and testers. Worked with traders and portfolio managers, defining requirements for front-office portfolio management tools, translating them into functional design specs.

2008 - 2010 ~2 yrs

Director - Derivatives Pricing

Boston, Massachusetts, Us

Directed a group of quantitative analysts in the development of quantitative/math models for internal software analytics for OTC Derivatives portfolios.

2005 - 2006 ~1 yr
10 education records

Rajeev S. education

Artificial Intelligence Program - Reinforcement Learning

Stanford University

Negotiation Mastery

Harvard Business School Online

Professional Certificate, Artificial Intelligence Program

Stanford University School Of Engineering

Artificial Intelligence Program, Natural Language Understanding - Machine Learning

Stanford University

Artificial Intelligence Program, Natural Language Processing With Deep Learning

Stanford University

Master'S, Financial Engineering

University Of California, Berkeley, Haas School Of Business

Master Of Business Administration - Mba

Santa Clara University Leavey School Of Business

B.Tech, Electrical Engineering

Indian Institute Of Technology, Delhi

M.S., Computer Engineering

Syracuse University

Certificate, Artificial Intelligence

Stanford University School Of Engineering
FAQ

Frequently asked questions about Rajeev S.

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

What company does Rajeev S. work for?

Rajeev S. works for Network Tools, Inc..

What is Rajeev S.'s role at Network Tools, Inc.?

Rajeev S. is listed as Experienced Specialist in Machine Learning and Data Science / Analytics at Network Tools, Inc..

What is Rajeev S.'s email address?

AeroLeads has found 1 work email signal at @quotient.com for Rajeev S. at Network Tools, Inc..

What is Rajeev S.'s phone number?

AeroLeads has found 3 phone signal(s) with area code 408 for Rajeev S. at Network Tools, Inc..

Where is Rajeev S. based?

Rajeev S. is based in Redwood City, California, United States while working with Network Tools, Inc..

What companies has Rajeev S. worked for?

Rajeev S. has worked for Network Tools, Inc., General Electric Aviation, Quotient Technology, Inc. (Formerly Coupons.Com), Bank Of America, and Western Asset Management.

How can I contact Rajeev S.?

You can use AeroLeads to view verified contact signals for Rajeev S. at Network Tools, Inc., including work email, phone, and LinkedIn data when available.

What schools did Rajeev S. attend?

Rajeev S. holds Artificial Intelligence Program - Reinforcement Learning from Stanford University.

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