Meet Taraviya

Data Scientist

Seattle, Washington, United States4 yrs 10 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in machine learning and recommender systems.
Published papers in reinforcement learning and recommender systems.
Strong educational background from IIT Bombay and UCLA.

Stackforce AI infers this person is a Machine Learning Engineer specializing in E-commerce and Data Science.

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Skills

Core Skills

Machine LearningData ScienceRecommender Systems

Other Skills

Computer VisionStatisticsForecastingData VisualizationData AnalysisAutomated Machine Learning (AutoML)PyTorchTime Series AnalysisStatistical Data AnalysisC++Artificial Intelligence (AI)Bayesian inferenceAndroid DevelopmentWeb DevelopmentAlgorithms

About

I am a machine learning engineer working on developing vision and forecasting algorithms and services at Abacus.AI. Before that I worked with Amazon.com’s fashion personalization team on building recommender models. I obtained my Bachelor's degree in Computer Science and Engineering from IIT Bombay, the highest-ranked university in India, in May 2019. I also obtained a masters degree in computer science from UCLA in March 2021. I have 2 published papers in the fields of reinforcement learning (UAI 19) and recommender systems (ICML 21)

Experience

4 yrs 10 mos

Total Experience

1 yr 7 mos

Average Tenure

2 yrs 7 mos

Current Experience

Quaera insights

Data Scientist

Oct 2023 – Present · 2 yrs 7 mos · New York, United States · Remote

Abacus.ai

Machine Learning Engineer

Oct 2022 – Apr 2023 · 6 mos · San Francisco, California, United States · Remote

Computer VisionData ScienceStatisticsForecastingData VisualizationData Analysis+5

Amazon

2 roles

Applied Scientist

Apr 2021 – Oct 2022 · 1 yr 6 mos · Seattle, Washington, United States · Remote

Worked with Amazon fashion’s personalization team on building recommender models and features that use the recommendations. Researched a patented algorithm for personalized complementary recommendations

Computer VisionData ScienceStatisticsData VisualizationData AnalysisRecommender Systems+3

Applied Scientist Intern

May 2020 – Aug 2020 · 3 mos · Seattle, Washington, United States

Working on the recommender systems behind Amazon's Personal Shopper service

Computer VisionData ScienceStatisticsData VisualizationData AnalysisRecommender Systems+3

University of california, los angeles

2 roles

Teaching Assisstant

Apr 2020 – Jul 2020 · 3 mos

TA for the course "CS 134: Distributed Systems".
Conducted tutorials and office hours, and graded assignments and exams.

Head Teaching Assistant

Jan 2020 – Mar 2020 · 2 mos

TA for the course "Statistics 418: Tools in Data Science" for the Winter 2020 quarter. Stats 418 is a graduate-level statistics course for UCLA Masters in Applied Statistics students.

Indian institute of technology, bombay

3 roles

Teaching Assistant

Jan 2019 – May 2019 · 4 mos · Mumbai Metropolitan Region

TA for the course "Automata Theory".
Conducted tutorials and office hours, and graded exam papers.

Teaching Assistant

Jan 2018 – May 2018 · 4 mos · Mumbai Metropolitan Region

TA for the course "Discrete Structures".
Conducted tutorials and office hours, and graded exam papers.
Awarded "TA of the month" title.

Teaching Assistant

Jul 2017 – Nov 2017 · 4 mos

TA for the course "Computer Programming and Utilization".
Responsible for creating lab questions, test cases and solutions for a class of 650 students.

Samsung research institute - delhi

Research Intern

May 2018 – Jul 2018 · 2 mos · Noida, Uttar Pradesh, India

Analyzed photoplethysmography data and video to identify cases of deviation from intended usage.
Developed a platform to compare and visualize the performance of different algorithms running
in parallel in real-time. Estimated a unified value of heart rate, accounting for individual device
failures and inaccuracies.

Greendzine technologies pvt. ltd.

Project Intern

May 2017 – Jul 2017 · 2 mos · Greater Bengaluru Area

Developed a machine learning based algorithm to identify current terrain type and patterns in rider
behaviour. Used terrain type and corresponding rider behavior profile to identify abnormal usage
patterns and new trends. Developed a Google cloud-based diagnostic database server to store and
analyze the data uploaded from vehicles.

Edelweiss financial services

Software Engineer Intern

Dec 2016 – Dec 2016 · 0 mo · Mumbai Metropolitan Region

Developed a Java application to audit and report daily changes, deletion and creation of users and
their files on a set of algorithmic trading servers.
Implemented HJM and CIR models of predicting future CAGR for treasury bills and government bonds.