vikram
Data ScientistIndiaMember since June 19, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
databrick_learning
March 21, 2023 – March 21, 2023
databrick_learning — GitHub repository
View ProjectAutomate-Machine-Learning-Workflows
December 29, 2022 – December 29, 2022
SageMaker Pipelines to-built continuous integration and continuous delivery (CI/CD) service for ML.
View ProjectBigData_PySpark-Project_ETL-Pipeline
December 2, 2022 – December 2, 2022
ETL pipeline for Ingestiong,Transformation, Extraction and Persistence of data on Hive using Pyspark on Hadoop cluster(yarn) on AWS EMR
View ProjectPySpark-Project
November 1, 2022 – November 1, 2022
PySpark-Project Fact and Dimension Reports
View ProjectSageMaker-pipelines-to-train-a-BERT-Based-text-classifier
July 11, 2021 – July 11, 2021
SageMaker pipelines to train a BERT-Based text classifier
View ProjectMultivariate-Time-Series-Modeling-using-FaceBook-Prophet
April 5, 2021 – April 5, 2021
Multivariate-Time-Series-Modeling-using-FaceBook-Prophet — GitHub repository
View ProjectData-Analysis-for-Venture-Capital-Investment-Investment
July 18, 2020 – July 18, 2020
Data-Analysis-for-Venture-Capital-Investment-Investment — GitHub repository
View ProjectCultural Fit Analysis
The candidate's profile shows a strong focus on personal projects, indicating self-driven learning and initiative. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit comprehensively. The projects align with a Data Scientist role, but the breadth of skills beyond specific tools is not clearly demonstrated.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication styles.