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Senior Data Scientist at Red Hat
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compute-user-metric
September 22, 2021 – September 24, 2021
compute-user-metric — GitHub repository
View Projectupgrade-of-trials
September 17, 2021 – September 20, 2021
Determine the likelihood of an existing trial to upgrade to a licensed version. And develop a narrative on what aspects results in this upgrading and how we can integrate this to be part of our go-to-market strategy.
View Projectcovid-vaccine-sentiment-analysis
May 10, 2021 – May 14, 2021
Analyzing varied sentiment of people towards vaccines for COVID-19.
View Projectpredict-customer-default
April 6, 2021 – May 9, 2021
Building a credit scoring model predicting the probability that somebody will experience financial distress in the next two years.
View ProjectBookSharingApplication
February 1, 2018 – April 2, 2018
BookSharingApplication — GitHub repository
View ProjectAirbnb-New-User-Booking
November 2, 2017 – January 17, 2018
• The system would help Airbnb to : Provide personalized experience to users o Decrease the average time of first booking o Better forecast demand o Targeting the correct audience o It is not just limited to Airbnb and can be extended and used in any industry for Advertising and targeting correct audience.
View ProjectCSC540-DBMS-Project
November 2, 2017 – November 20, 2017
Quiz Assignment system for students
View ProjectDynamic-Cache-Partitioning-LRU-Algorithm
April 29, 2017 – May 18, 2017
A final B.Tech. Project where we are using Data Analytics and Cache Paritioning Concept to improve the efficiency of existing Cache Replacement Algorithm
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data science and analytics, which aligns with a Data Scientist role. The diversity of projects, from credit scoring to sentiment analysis and user booking prediction, indicates a broad interest in applying data science techniques to different problems. However, the projects are all personal and lack details on collaboration or team dynamics, making it difficult to assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.