Nilesh Khade

AI Researcher

Seattle, Washington, United States8 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

5+ years of experience in Data Science and Machine Learning.
Proven track record of increasing revenue through ML model improvements.
Strong educational background from IIT Kharagpur and UMass Amherst.

Stackforce AI infers this person is a Data Scientist with expertise in Machine Learning and Software Development across Fintech and Cloud Computing.

Contact

khadenilesh92@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData ScienceSoftware Development

Other Skills

A/B TestingAirflowAlgorithmsAmazon Web Services (AWS)Azure MLCC++Data StructuresDeep LearningGithubHTMLHTML scriptingHiveJavaLinux

About

• Skilled in Software Development, Machine Learning, Deep Learning, and Database Management Systems. • 5+ years of experience as an Applied Data Scientist and Machine Learning Engineer • BTech(Hons.) and MTech from IIT Kharagpur in Computer Science and Engineering and MS in CS with ML specialization from UMass CS Amherst • Interested in working on understanding the behavior of Deep Learning Models and scalability of Machine Learning Models for large datasets

Experience

Microsoft

2 roles

Applied Data Scientist

Jun 2021 – Present · 4 yrs 9 mos · Bellevue, Washington, United States

◦ Driving ML efforts on view and monetization value signal prediction, specifically modeling Click Through Rate(CTR) using Deep Neural Networks and boosting algorithms for Non-Search Advertising
◦ Achieved >1% offline AUC (Area Under the Curve) gains, which resulted in a significant increase in Click Yield and ∼2% revenue gain in the marketplace across global traffic through multiple deployments
◦ Working on different stages of the ML model development i.e. feature engineering, training data generation, model development, evaluation, A/B testing, and maintenance by leveraging PyTorch and internal tools for experiments
◦ Analyze the patterns of predicted and actual CTR, and operate anomalies for global traffic
◦ Led the efforts of play rate modeling for video ads including the design stage, and delivered the initial version which helped to start a new revenue stream for Microsoft Audience Network(MSAN)

StatisticsData SciencePython (Programming Language)PyTorchSQLA/B Testing+1

Data & Applied Scientist Intern

May 2020 – Jul 2020 · 2 mos · Redmond, Washington, United States

I am part of Azure Front Door CDN which falls under Azure Networking.
Built Neural Network-based Mult-CDN solution to provide ideal bandwidth distribution across multiple CDN providers
Modelled the delayed metrics data as a time-series with LSTM, leveraging the Azure ML services for the model deployment
Delivered end-to-end application and hosted website for internal stakeholders to get the live results, published the REST API to facilitate the consumption of results by downstream routing services

Data SciencePython (Programming Language)Machine Learning

Qplum

Software Engineer

Jul 2017 – Jun 2019 · 1 yr 11 mos · Bengaluru Area, India

Responsible for developing the components and maintenance of the trading pipeline based on Python using Airflow as the workflow management platform
Worked on the development of a vectorized back-test framework to perform simulation for historical data in a faster and efficient manner

Data SciencePython (Programming Language)Trading SystemsSoftware Development

Two roads tech

Software Engineer

Jul 2017 – Jun 2019 · 1 yr 11 mos · Bengaluru Area, India

Python (Programming Language)

Visa data labs

2 roles

Senior Software Engineer

Jan 2016 – Jun 2017 · 1 yr 5 mos · Bengaluru Area, India

Developed a Metadata Hub for data flow analysis that involves data modeling and leveraging technologies like Hive and Neo4j graph database
Developed rule language for Identification of Personal Account Information of the cardholder from transaction data and it is accepted as a trade secret in the organization

Data Science

Software Engineer

Aug 2015 – Dec 2015 · 4 mos · Bengaluru Area, India

Developed JAVA application to parse the Talend jobs and create the metadata lineage which could be imported into AbInitio ETL tool

Industrial technology research institute (itri)

Software Engineering Intern

May 2014 – Jul 2014 · 2 mos · Hsinchu County/City, Taiwan

Worked in the Cloud Computing Centre, ITRI. Assisted SOAP project team as a Linguist.
Made the Crawled Chinese corpus NLP ready by applying tokenization, part of speech tagging, named entity recognition, parse tree generation and dependency analysis using Stanford NLP library.
Automated the procedure of updating training models for NER and POS tagging to improve the accuracy of results.

Veephi innovation labs pvt. ltd.

Software Engineering Intern

May 2013 – Jul 2013 · 2 mos · Bengaluru Area, India

Designed result analysis and automated report Generation part in survey application design on Jomsocial using PhpExcel, Fpdf, PChart and LibChart libraries
Developed Facebook Application for Johari Window using PHP Web Framework

Barc

Application Developer Intern

May 2012 – Jul 2012 · 2 mos · Mumbai Area, India

Studied security guidance documents like Center for Internet Security (CIS)MySQL security
documents from MySQL guidelines, MySQL security documents from MySQL site.
Developed python-based application to check the configuration settings and report any anomalies and identifying any misconfiguration in MySQL installations.