To achieve anything worthy in life one needs attitude and will. Skills and techniques can be learned, can be taught, but not will.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
NETSYNC
Data Scientist
June 25, 2026 – Present
terraform-aws-codepipeline-ci-cd
February 19, 2022 – February 19, 2022
Deploying CI/CD Pipeline on AWS using CodePipeline, CodeBuild, CodeStar Connection and terraform.
View ProjectData-Pipeline-With-Airflow
May 5, 2021 – May 11, 2021
Implementing a Data Pipeline using Apache Airflow to copy data from Amazon S3 to Amazon Redshift MPP DB.
View ProjectData-Warehouse-With-Amazon-Redshift
April 1, 2021 – April 22, 2021
Data Warehouse Using Amazon Redshift
View ProjectData_Modeling_With_Cassandra
March 21, 2021 – March 21, 2021
Data Modeling and ETL Pipeline with Apache Cassandra.
View ProjectMachine_learning_projects
February 19, 2021 – March 6, 2021
Implementing Machine Learning Projects for Fun.
View Projectkafka-elasticSearch-realtime-tweets-processing
December 27, 2019 – September 5, 2023
Used Twitter api to get a realtime tweets to kafka using a kafka-producer then consume those tweets as a json objects using a kafka-consumer and store them into elasticSearch which is hosted on AWS.
View Projectlearning-kafka
October 2, 2019 – September 5, 2023
learning how to develop against kafka using java.
View ProjectReact-ChatApp-Back-End
December 25, 2015 – August 14, 2016
React-ChatApp-Back-End — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data-related technologies, which aligns with a Data Scientist role. However, the projects are all personal, and there is only one current work experience listed with an experience level of 0, making it difficult to assess cultural fit in a professional team environment. The diversity of technologies (Python, Java, Go, HCL) suggests a willingness to learn, but also a potential lack of deep specialization in one area.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and there are no completed psychometric or English tests to provide insights into communication, logical reasoning, work attitude, stress handling, or team collaboration.