manish gaurav

AI Researcher

Oakland, California, United States15 yrs 2 mos experience

Highly Stable

Key Highlights

Led high-impact data science teams.
Developed machine learning models generating millions in revenue.
Expert in natural language processing and deep learning.

Stackforce AI infers this person is a Data Science expert with a focus on MarTech and NLP applications.

Contact

Skills

Core Skills

MlopsDeep LearningMulti-channel MarketingCustomer Segmentation StrategyNatural Language ProcessingSpeech Recognition

Other Skills

Gradient BoostingProject ManagementPeople ManagementGoogle Cloud Platform (GCP)KubernetesGoogle BigQueryPythonpandasSearch AdvertisingApache SparkWord EmbeddingsBERT (Language Model)Amazon Web Services (AWS)Recommender SystemsNamed Entity Recognition (NER)

About

I am a Lead Data Scientist with 8 years of experience in research and development of machine learning, natural language processing and automatic speech recognition applications. I am an adept technical writer and am passionate about presenting novel ideas via thorough quantitative experimentation and research publications. I enjoy working as part of the team and cherish opportunities for leading projects through their completion. I am a proficient programmer with several years of experience writing good quality software using Python, R, Perl, and Java.

Experience

15 yrs 2 mos

Total Experience

2 yrs 6 mos

Average Tenure

Current Experience

Sojern

applied science manager

Mar 2022 – Dec 2024 · 2 yrs 9 mos · San Francisco Bay Area

Successfully led the Sojern applied science team in training and
deploying (Google Cloud Platform) machine learning based predictive
models/services ( predicting campaign outcomes including impression,
clicks and conversions ) to automate and optimize advertising
campaigns to drive conversion rate and revenue.
Collaborated with product and led the applied science team in building
a new machine learning based multi-channel optimization product for
Sojern cross-channel media advertisement generating ~15m in
revenue.
Proposed and successfully led several internal initiatives to improve the
efficiency and velocity of applied science and engineering teams as well
as effectively collaborating with product and engineering team to define
team roadmap and ensure timely completion of applied science
initiatives.

MLOpsGradient BoostingDeep LearningMulti-Channel MarketingProject ManagementPeople Management+5

Wayfair

Data Science Manager

Aug 2020 – Jul 2021 · 11 mos · Boston, Massachusetts, United States

Successfully lead the team on implementing and deploying a deep
learning based customer future spend prediction model at scale to
optimize the advertisement spend by leveraging demographic, device,
location and prior customer activity data for millions of customers
resulting in 12% improvement in Net Revenue.

MLOpsDeep LearningCustomer Segmentation StrategySearch AdvertisingPeople ManagementProject Management+2

Burning glass technologies

Lead Data Scientist

Sep 2016 – May 2020 · 3 yrs 8 mos · Greater Boston

Successfully built and managed a high performant data science team
from the ground up, demonstrating strong leadership and
organizational skills.
Labor Market Entity Similarity/Recommendation – Led the training and
deployment of semantic labor market entity similarity and
recommendation model by applying neural network (word embeddings
as well as document embeddings) algorithms using ~100 million job
postings.
Text Content Tagging – Implemented a state-of-the-art text based
content tagging model (~2000 class multi-label architecture) for
occupation classification in labor market domain at scale using
hierarchical attention neural network models.
Salary Prediction modeling –Implemented and deployed a neural
network-based salary prediction API for job postings using ~10 million
advertised job posting salaries

Word EmbeddingsDeep LearningNatural Language ProcessingBERT (Language Model)Amazon Web Services (AWS)People Management+3

Raytheon bbn technologies

Staff Scientist

Jun 2014 – Aug 2016 · 2 yrs 2 mos · Cambridge, MA

Analyzed and processed Twitter Data (approximately 13 billion tweets
or 10% of all global tweets) using statistical modeling to implement a
Twitter based election predictor for OSI IARPA program
(https://www.iarpa.gov/index.php/research-programs/osi). Designed
and ran experiments for optimal configuration of models used in OSI
and contributed to system development for the final evaluation of OSI.
Implemented and developed a robust ASR (Automatic Speech
Recognition) system as part of a big data processing pipeline to support
end-to-end processing of customer files. Also developed a text-
alignment system that was released as part of the Big Data processing
pipeline. This system enabled the customer to produce high-quality,
auto-generated closed captioning output for the input audio files.
Hebrew SMT (statistical machine translation) – Supervised Hebrew
annotation to create a Hebrew–Arabic bilingual corpus using Amazon
Mechanical Turk (Mturk) tool. Furthermore, developed a Hebrew-
Arabic machine translation system with excellent accuracy.

SVMNatural Language ProcessingStatistical Machine TranslationNeural Machine Translation (NMT)Deep LearningNamed Entity Recognition (NER)+3

Bbn technologies

Associate Scientist

Nov 2009 – May 2014 · 4 yrs 6 mos · cambridge, MA

Natural Language processing (NLP) applications including Sentiment Analysis, topic segmentation, machine translation, automatic summarization and speech recognition.