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Shashank Kumar Email & Phone Number

Machine Learning Scientist at GoDaddy
Location: Greater Seattle Area, United States, United States 9 work roles 3 schools
1 work email found @redhat.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 86%

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Role
Machine Learning Scientist at GoDaddy
Location
Greater Seattle Area, United States, United States

Who is Shashank Kumar? Overview

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Quick answer

Shashank Kumar is listed as Machine Learning Scientist at GoDaddy based in Greater Seattle Area, United States, United States. AeroLeads shows a work email signal at redhat.com and a matched LinkedIn profile for Shashank Kumar.

Shashank Kumar previously worked as Research Assistant - Psychology and Brain Science Department at Indiana University Bloomington and Research Assistant - Sociology Department at Indiana University Bloomington. Shashank Kumar holds Master'S Degree, Data Science, 3.91/4 from Indiana University Bloomington.

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Email format at redhat.com

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{first_initial}{last}@redhat.com
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Profile bio

About Shashank Kumar

Shashank Kumar is a Machine Learning Scientist at GoDaddy.

Listed skills include Sql, Microsoft Excel, Data Analysis, Tableau, and 17 others.

9 roles

Shashank Kumar work experience

A career timeline built from the work history available for this profile.

Research Assistant - Psychology And Brain Science Department

Bloomington, Indiana, United States

Predicted Big 5 personality traits using Random Forest and xGboost classifier on eye trackingdataset. Accomplished results better than the state-of-the-art model and currently WIP to publish in a journal.

Jan 2022 - Dec 2022

Research Assistant - Sociology Department

Bloomington, Indiana, United States

Extracted the tweets via Twitter scrapping and analyzed them to identify and comprehend the topics of sociological ideas discussed in social media using topic modeling

Aug 2021 - Dec 2021

Graduate Research Assistant - Bioinformatics Lab

Bloomington, Indiana, United States

- Preprocessed the COVID genomic data using the graphical technique to build the dataset with protein spike sequence (k- mers) as predictors to develop a novel technique to predict the virus strain using a tree-based model- Received complete scholarship for the semester

Apr 2021 - Sep 2021

Data Science Intern

Raleigh, North Carolina, United States

Designed a machine learning pipeline to predict the number of opportunities and theirvalues created by a marketing campaign using Random Forest regressor to help marketer prioritize their campaign

May 2022 - Aug 2022

Senior Data Scientist

  • Designed an exhaustive recommendation platform that classified the customers into different segments based on their current state of journey. The journeys were developed to personalize the marketing campaign. ROI per.
  • Predicted the potential churning customers using XGBoost and targeted them with their preferred offers type. (Recall 90%, AUC = 0.87) Generating additional revenue of RM 1.3M
  • Identified the major pain point areas of VIP customers by understanding the sentiments of thereviews using Latent Dirichlet Allocation (LDA) which resulted in an increase of customer retention by 18%
  • Forecasted the daily footfall for the world’s largest hotel and optimized the price of the rooms for each segment using ARIMA, LSTM and Prophet
  • Based on demographic and behavioral parameters clustered the 6.5 million casino customers, to create the best marketing offers and promotion for each persona.
  • Build a recommendation system using Lasso regression to understand the customer preference towards different promotional mail and then target the customer based on the email features which were important. CTR of email.
Sep 2020 - Dec 2020

Analytics Team Lead

Bangalore

  • Led a team of 8 analysts to provide analytical support and develop a marketing strategy to our E-commerce based clients
  • Worked on Market Basket Analysis, using Apriori Algorithm and cosine similarity, to predict which combinations of products have a higher association
  • Predicted the induced effect of an SMS campaign on the Organic and Paid Search channel, using the Linear models. Optimized the campaigns by reducing spend on certain keywords. (25% increase in ROI)
  • Collaborate with cross-channel teams regarding the budgeting of various campaigns and provide a data-driven decision by measuring the performance of the KPIs on a daily basis
  • Created a framework to combine online and offline data to build automated reports that brought down the effort from 20 hours per month to 30 minutes.
  • Worked on multiple channels like Paid Search, Display, Shopping Ads, Facebook and have a deep understanding of effect of each channel in the customer decision
Dec 2017 - Oct 2018

Data Analyst

Bangalore

  • Analyze web traffic using clickstream data from online tools such as Omniture Site Catalyst, Discover, and Google Analytics.
  • Mapped the customer journey and optimized the website by removing redundant pages using Markov Chain rules
  • Handled site optimization projects that include Customer Journey, Micro-segmentation and Drop Off Analysis
  • Designed a complex SQL system to store and process the data in a centralized way
  • Understand client requirements and communicate KPI reports and dashboards over client calls/discussions.
Nov 2015 - Feb 2017
3 education records

Shashank Kumar education

Master'S Degree, Data Science, 3.91/4

Subjects Taken: 1. Machine Learning: Signal Processing 2. Elements of AI 3. Time series Signal Processing 4. Deep Learning 5. Algorithms.

Bachelor Of Engineering (B.E.), Biotechnology

Activities and Societies: Institute Athletics Captain (2014-15) | Hostel Athletics Captain (2013-14) | Athletics : 100m, 200m, 4*100m.

X- Xii, Mathematics, 94%

Dav Public School, Bseb, Patna

Activities and Societies: 0.1% merit holder in Mathematics in AISSE-2009 | Olympiad rank 630, state rank 77 in International Olympiad of.

FAQ

Frequently asked questions about Shashank Kumar

Quick answers generated from the profile data available on this page.

What is Shashank Kumar's role at their current company?

Shashank Kumar is listed as Machine Learning Scientist at GoDaddy.

What is Shashank Kumar's email address?

AeroLeads has found 1 work email signal at @redhat.com for Shashank Kumar.

Where is Shashank Kumar based?

Shashank Kumar is based in Greater Seattle Area, United States, United States.

What companies has Shashank Kumar worked for?

Shashank Kumar has worked for Indiana University Bloomington, Red Hat, Gale Partners, Xcellent Solution, and Iquanti, Inc..

How can I contact Shashank Kumar?

You can use AeroLeads to view verified contact signals for Shashank Kumar, including work email, phone, and LinkedIn data when available.

What schools did Shashank Kumar attend?

Shashank Kumar holds Master'S Degree, Data Science, 3.91/4 from Indiana University Bloomington.

What skills is Shashank Kumar known for?

Shashank Kumar is listed with skills including Sql, Microsoft Excel, Data Analysis, Tableau, Programming, Teamwork, Omniture, and R.

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