Staff Machine Learning Engineer - Personalization
CurrentLeading the Consignor Growth and Personalization efforts for the customer experience across our Website (Search & Recommendations), Marketing Channels, Sales, and Push Notifications.
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@therealreal.com
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2 phones found area 774
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Dhaval Dholakia is listed as Staff Machine Learning Engineer at The RealReal, based in San Francisco, California, United States. AeroLeads shows a work email signal at therealreal.com, phone signal with area code 774, and a matched LinkedIn profile for Dhaval Dholakia.
Dhaval Dholakia previously worked as Staff Machine Learning Engineer - Personalization at The Realreal and Senior Machine Learning Engineer at Wayfair. Dhaval Dholakia holds Master’S Degree, Data Science from Worcester Polytechnic Institute.
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AeroLeads found 1 current-domain work email signal for Dhaval Dholakia. Compare company email patterns before reaching out.
I am a Lead Machine Learning Engineer who loves to incorporate engineering best practices while building Machine Learning products. I love building end-to-end Machine Learning projects right from 1) Defining user problems, 2) Machine Learning Model development, to 3) Designing and strategizing scalable productionization systems for our machine learning models. Right now, I'm working on improving The RealReal's customers user experience by building personalized Recommendation & Search systems.Skills: LLM, Recommendation Systems, Search, NLP, Deep Learning, Computer Vision, Machine Learning, Python, Keras, Tensorflow, CI/CD.
Listed skills include Python, R, Weka, Machine Learning, and 23 others.
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San Francisco, Ca, Us
Leading the Consignor Growth and Personalization efforts for the customer experience across our Website (Search & Recommendations), Marketing Channels, Sales, and Push Notifications.
Boston, Ma, Us
► Leading a team of 2 Data Scientists and 1 Machine Learning Engineer in Visual Similarity based experiences.► Collaborating with Product, BI and Engineering teams in defining the user problem and scoping and owning the machine learning roadmaps.► Designed and strategized the Project Development Lifecycle for the next gen Visual Similarity.► Responsible for designing the entire AI algorithm from scratch for powering Visually Similar recommendations on different recommendation carousels on our website.► Designed and built the productionization platform for supporting Visually Similar recommendations.► Developed a dockerized, distributed HPC based deep learning model training and inference pipelines.► Collaborated with Product, BI and Design teams in deciding the user experience to A/B test the model on.► Actively involved in the recruiting process with experience conducting 100+ interviews.
Boston, Ma, Us
► Lead Data Scientist of Wayfair's effort in designing a scalable Neural Network inference pipelines for all of our deep learning models.► Designed and developed a dockerized, distributed HPC based DL model inference pipelines for Wayfair's computer vision models.► These led to significant gains in time and consistency, giving us 7x improvement on the previous process.
► Performed feature engineering from different neuroscience-based evaluation and training modules. ► Implemented statistical methods to rate baseball players with respect to their performance against individual pitches. Also learned set of difficult pitches for the entire population of players.► Developed predictive models to predict and score a player’s brain, and basically answer how a player performed relative to the group in each skill category and how variable were the players in their training metrics. Given the player's performance over the past few seasons, created models to predict how a player is going to perform in present/future.
Worcester, Massachusetts, Us
► Developed a “Refugee Placement” optimization model using 0-1 Integer Linear Programming. Also, developed additional features to the user application using VBA allowing end-user to Add new affiliate, Remove and Update an existing affiliate► Developed an algorithm that solves a problem in maritime shipping by optimizing the inventory management by considering journeys, time and other cost constraints using Python and Gurobi optimization solver.
Mumbai, In
► Designed an algorithm which continuously monitored and handled the processing of Real-Time trading data.► Developed an industry-level trading application using C# and COM-Addin.► Optimized the trading application by integrating message broker in the system.
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Natalie Rodriguez
Colleague at The RealrealDallas, Texas, United States
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Rynon Reyes
Colleague at The RealrealLos Angeles, California, United States
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Kathy Mcpherson
Colleague at The RealrealArlington, Virginia, United States
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Jayson Cunha
Colleague at The RealrealBrooklyn, New York, United States
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Tracy Johnson
Colleague at The RealrealGreater Phoenix Area, United States
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Jonathan Liu
Colleague at The RealrealSan Francisco, California, United States
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Emma Steiner
Colleague at The RealrealNew York, United States
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Rita Chapman
Colleague at The RealrealScottsdale, Arizona, United States
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Kelly Kaminskas
Colleague at The RealrealChicago, Illinois, United States
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Joe-Benjamin Mauricio
Colleague at The RealrealAvondale, Arizona, United States
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Quick answers generated from the profile data available on this page.
Dhaval Dholakia works for The RealReal.
Dhaval Dholakia is listed as Staff Machine Learning Engineer at The RealReal.
AeroLeads has found 1 work email signal at @therealreal.com for Dhaval Dholakia at The RealReal.
AeroLeads has found 2 phone signal(s) with area code 774 for Dhaval Dholakia at The RealReal.
Dhaval Dholakia is based in San Francisco, California, United States while working with The RealReal.
Dhaval Dholakia has worked for The Realreal, Wayfair, Neuroscouting, Worcester Polytechnic Institute, and Ariston Capital Services Pvt Ltd.
Dhaval Dholakia's colleagues at The RealReal include Natalie Rodriguez, Rynon Reyes, Kathy Mcpherson, Jayson Cunha, and Tracy Johnson.
You can use AeroLeads to view verified contact signals for Dhaval Dholakia at The RealReal, including work email, phone, and LinkedIn data when available.
Dhaval Dholakia holds Master’S Degree, Data Science from Worcester Polytechnic Institute.
Dhaval Dholakia is listed with skills including Python, R, Weka, Machine Learning, Hadoop, Apache Spark, Mongodb, and .Net.
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