Aspiring Data Scientist | Continuous Improvement (CI) @ upskilling myself | Risk taker with an eye for detail
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
GameIndustryPBIP
July 13, 2024 – July 13, 2024
Contains PBI metadata files for analyzing RAWG API gaming data
View ProjectE2E-Data-Science-Pipelines
October 30, 2023 – June 3, 2025
Contains Airflow pipelines to perform ELT and analysis on RAWG API data
View ProjectE2E-Data-Pipeline
October 30, 2023 – October 30, 2023
E2E-Data-Pipeline — GitHub repository
View ProjectMLFlow-Tracker
December 5, 2022 – December 5, 2022
Repo for maintaining docker image for MLFlow and creating helm chart out of the same
View ProjectMLOps-Airflow-MLFlow-Packer
November 29, 2022 – December 1, 2022
Packer code to build AMI for hosting MLOps for E2E Data Science Project
View Projectaggregator-terraform-infra
June 13, 2022 – September 29, 2024
Contains terraform code for creating of the Hotel Aggregator end to end Data science project
View ProjectAggregator-Data-Pipeline
May 2, 2022 – July 25, 2023
This repo is for python scripts that will be run to fetch pricing, reviews data from hotels api
View ProjectKaggle-Adventures
February 15, 2022 – February 15, 2022
This repo contains the kaggle repos that I have tried to tackle so far
View ProjectResearch-Paper-Pytorch-Implementations
January 27, 2022 – April 13, 2022
Contains OOP code for most of the research paper implementations
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in data science and MLOps. The diversity of tools and technologies used (Python, Airflow, MLFlow, Terraform, Docker, Helm) suggests a proactive and curious individual. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit, especially regarding collaboration and communication within a team setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.