Kaushal Paneri

AI Researcher

Boston, Massachusetts, United States10 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in causal inference and machine learning.
Published multiple papers in top-tier conferences.
Developed analytics platforms driving client decisions.

Stackforce AI infers this person is a Data Science expert with a focus on machine learning and optimization in advertising technology.

Contact

kaushalpaneri@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData ScienceDeep LearningData Visualization

Other Skills

AlgorithmsBayesian networksBing AdsCC++CSSCausal Machine LearningCausal inferenceConvolutional Neural Networks (CNN)Counterfactual PlatformData AnalysisExploratory Data AnalysisFilter decorrelation regularizerFully Convolutional NetworksGANs

About

As a Senior Data & Applied Scientist at Microsoft, I work on the counterfactual experimentation and optimization platform for Bing Ads marketplace. My work spans causal inference, machine learning, and large-scale optimization, with a focus on building robust systems for automated decision-making. 📌 Recent publications: Combining Open-box Simulation and Importance Sampling for Tuning Large-Scale Recommenders, RecSys 2024 Adaptive Mixture Importance Sampling for Automated Ads Auction Tuning, RecSys 2024 Leveraging Structured Biological Knowledge for Counterfactual Inference: A Case Study of Viral Pathogenesis, IEEE Transactions on Big Data 2020 Integrating Markov Process and Structural Causal Models for Counterfactual Inference in Complex Systems, NeurIPS 2019

Experience

Microsoft

3 roles

Senior Data & Applied Scientist

Aug 2024 – Present · 1 yr 7 mos

Causal inferenceMachine learningLarge-scale optimizationMachine LearningData Science

Data & Applied Scientist 2

Promoted

Sep 2020 – Aug 2024 · 3 yrs 11 mos

Working on Counterfactual Platform for Bing Ads Marketplace Optimization. Own multiple machine learning systems in production at Bing Ads.

Counterfactual PlatformMachine learning systemsBing AdsMachine LearningData Science

Data Scientist

Sep 2019 – Sep 2020 · 1 yr

Working on Counterfactual Platform for Bing Ads Marketplace Optimization. Own multiple machine learning systems in production at Bing Ads.

Counterfactual PlatformMachine learning systemsBing AdsMachine LearningData Science

Northeastern university

Visiting Lecturer

Sep 2021 – Present · 4 yrs 6 mos · Boston, Massachusetts, United States

Teaching machine learning courses at Khoury College of Computer Sciences, Northeastern University

Machine learningTeachingMachine Learning

Khoury college of computer sciences

3 roles

Graduate Teaching Assistant

May 2019 – Aug 2019 · 3 mos

Graduate Teaching Asst. for Causal Machine Learning (CS7290).

Causal Machine LearningMachine Learning

Research Assistant

Jan 2019 – May 2019 · 4 mos

Worked on integrating Markov processes with structural causal modeling which enables counterfactual inference in complex systems.

Markov processesStructural causal modelingMachine Learning

Graduate Teaching Assistant

Aug 2018 – Dec 2018 · 4 mos

Graduate Teaching Assistant for Supervised Machine Learning (DS 5220).

Supervised Machine LearningMachine Learning

Tcs research & innovation

Deep Learning Intern

Jun 2018 – Jul 2018 · 1 mo · New Delhi Area, India

Proposed a strong yet simple filter decorrelation regularizer for Fully Convolutional Networks for Time-series classification that boosted performance by average 2.6% on state-of-the-art benchmarks on 44 UCR TSC datasets.

Filter decorrelation regularizerFully Convolutional NetworksTime-series classificationDeep Learning

Khoury college of computer sciences

Graduate Teaching Assistant

Jan 2018 – Apr 2018 · 3 mos · Greater Boston Area

Teaching Assistant for "Information Visualization" course at CCIS - Northeastern University.

Visual AnalyticsMachine LearningDeep LearningPythonJavaHTML+2

Tcs research & innovation

2 roles

Researcher

Promoted

Sep 2014 – Aug 2017 · 2 yrs 11 mos · Gurgaon, India

Conducted research in Visual Analytics, Machine Learning and Deep Learning
Designed and developed two Analytics platforms using python, Java and web technologies (HTML, jQuery, d3.js, JavaScript) that drive multiple TCS’s clients’ daily decisions
Established a team and performed spatio-temporal and what-if analysis on traffic density and predictive modeling using python and web technologies that resulted significant improvement in traffic management

Time-series visualizationsd3.jsData Visualization

Research Intern

Jan 2014 – Apr 2014 · 3 mos · Gurgaon, India

Won a national level coding competition "Codevita-2013" from around 150k students across India and got a research opportunity at TCS Innovation Lab.
Designed and developed time-series visualizations for machine learning
models using d3.js that aided in summarizing, querying, searching from large volumes of multi-sensor data from multiple TCS clients

Visual AnalyticsMachine LearningDeep Learning