
Data Scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Halliburton
Data Scientist
June 18, 2026 – Present
mtech-nmims
July 17, 2022 – November 15, 2022
Learning Schedules with Lab work and Assignments
View Projectoutlier-detection
July 18, 2021 – July 18, 2021
Detect outliers from pandas dataframe using various statistical tools
View Projectnlp-projects
February 10, 2020 – August 23, 2021
Repository containing all Natural Language Processing (NLP) Projects.
View Projectengineering-projects
February 10, 2020 – February 10, 2020
Repository containing all engineering projects and assignments.
View Projectjava-examples-project
February 10, 2020 – February 10, 2020
Repository containing all mini projects and major projects implemented in Java
View Projectonline-data-science-ml-challenges
February 10, 2020 – December 12, 2021
Repository containing all notebooks and solution files of various competitions in which I participated
View Projectmtech-data-science
December 20, 2019 – August 14, 2022
Repository which contains all assignments and projects which I did in the course
View Projectdatacamp-reports
December 3, 2019 – December 26, 2019
Jupyter Notebook consisting of various example codes from different courses of DataCamp
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on academic and personal data science challenges, indicating a self-driven learning approach. However, the lack of diverse team projects or contributions to open-source initiatives makes it difficult to fully assess collaborative cultural fit. The experience level is listed as 0, which contradicts the current Data Scientist role, suggesting potential data inconsistency or a very recent start in the role. The projects are primarily personal, which might indicate a preference for individual work over team collaboration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.