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Aditya Goyal

Engineering Analyst, Quantitative Analytics and Data Sciences at Google

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About

Aditya Goyal is a hard-working, curious, and creative strategist with a passion for data science. With a background in economics, econometrics, and commerce, Aditya has a unique outlook on life and loves being challenged on different grounds. He is an ambivert who is responsible and confident in his work. Currently, Aditya is working at Google as a Strategist Trust & Safety Analysis, where he applies his knowledge of data science to solve complex business problems. He has experience in market science and NLP, which he has used to develop innovative solutions for his clients. Before joining Google, Aditya worked for Gartner as a Senior Specialist in the Quantitative Analytics and Data Science team. Here, he worked on solving business problems using NLP. He also worked as a Data Science Consultant for EY. Aditya's education has played a significant role in shaping his career. He earned a Master of Arts degree in Economics from South Asian University in 2019, where he focused on econometrics. He also holds a Bachelor's degree in Business Economics (Hons.) from SGTB Khalsa, Delhi University, where he learned the fundamentals of business and economics. Aditya is a skilled data scientist with experience in NLP and other relevant tech stacks. He has 3.77 years of relevant experience and is always eager to take on new challenges. With his creativity, responsibility, and confidence, Aditya is a valuable asset to any team.

Education Overview

south asian university

sgtb khalsa college university of delhi

Companies Overview

google

gartner

ey

nielsen

complete heor solutions cheors

touch india trust

Experience Overview

5.3 Years

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Experience

Engineering Analyst (Quantitative Analytics and Data Sciences)

google | Hyderabad, Telangana, India

2022 - Present

Senior Specialist

gartner

2022 - 2022

Data Science Consultant

ey | Gurugram, Haryana, India

2021 - 2022

Market Science Analyst

nielsen | Vadodara Area, India

2019 - 2021

Associate Analyst

complete heor solutions cheors | Gurgaon, India

2019 - 2019

Shiksha rath

touch india trust | New delhi

2014 - 2015

Skills

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analytics

Collaboration

Consulting

Data Analysis

Data Processing

Data Science

Data Scientist

Decision Trees

Economics

eda

Education

Excel

Feature Engineering

forecasting

Machine Learning (ML)

market research

marketing

Microsoft Excel

Natural Language Processing (NLP)

Neural Networks

NumPy

optimization

PowerPoint

Problem solving

Project Management

Python

R

Reinforcement Learning

Research

Research Scientist

Scikit

Scikit-Learn

scipy

simulations

SPSS

SQL

strategy

Team Building

test

testing

Contact Details

Email (Verified)

agoXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXX52

Education

south asian university

Master of Arts - MA

2017 - 2019

sgtb khalsa college university of delhi

Bachelors in business economics (hons.)

2014 - 2017

Frequently asked questions

What company does Aditya Goyal work for?

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Aditya Goyal works for google

What is Aditya Goyal role in his workplace?

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Aditya Goyal's role in his workplace is Engineering Analyst (Quantitative Analytics and Data Sciences)

What is Aditya Goyal's tenure in his workplace?

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Aditya Goyal's tenure in his workplace is 2.25 years

What is Aditya Goyal's total experience?

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Aditya Goyal's total experience is 5.25 years

What is Aditya Goyal's LinkedIn profile?

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Aditya Goyal's LinkedIn profile can be found here

What is Aditya Goyal's email address?

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Aditya Goyal's email address is agoXXXXXXXXXXXXXXom. Unlock here

What is Aditya Goyal's phone/WhatsApp number?

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Aditya Goyal's phone number is +91XXXXXXXX52. Unlock here

What schools did Aditya Goyal attend?

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Aditya Goyal has attended south asian university, sgtb khalsa college university of delhi

What companies has Aditya Goyal worked with?

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Aditya Goyal has worked with google, gartner, ey, nielsen, complete heor solutions cheors, touch india trust

What are some of Aditya Goyal's skills?

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Aditya Goyal has skills in analytics, Collaboration, Consulting, Data Analysis, Data Processing, Data Science and more.

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