Data Engineer with a passion for harnessing the power of data to drive innovation and solve complex challenges.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Artefact
Data Scientist
June 25, 2026 – Present
qualis-bigquery
June 4, 2026 – Present
BigQuery adapter for Qualis (data quality framework)
View ProjectE2E_Sales_Data_Pipeline
May 21, 2024 – December 30, 2024
E2E_Sales_Data_Pipeline — GitHub repository
View ProjectObsidian-Vault-Roadmap
March 7, 2024 – March 8, 2024
Obsidian-Vault-Roadmap — GitHub repository
View ProjectBig-Data-Analytics-with-LLM
February 29, 2024 – March 1, 2024
Big-Data-Analytics-with-LLM — GitHub repository
View ProjectData-Modeling-with-Postgres---Sparkify
October 10, 2022 – October 10, 2022
Data-Modeling-with-Postgres---Sparkify — GitHub repository
View ProjectHadoop_MapReduce_WordCount
September 16, 2022 – September 17, 2022
Java program running in the Hadoop Map/Reduce framework used by Amazon's Web Services platform.
View ProjectFace-Recognition-using-K-means-clustering
December 15, 2020 – December 15, 2020
K-means algorithm is an unsupervised machine learning algorithm, that tries to cluster similar data into K clusters where each cluster has a centroide (center) that represents It. Each cluster contains the data that are similar as much as each other as possible and of course the data not in the same cluster are as different as possible.
View ProjectRestaurant-management-system
April 27, 2019 – May 1, 2019
Restaurant-management-system is a system developed to manage restaurants using java programming language it could be used for management and for users
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on personal learning and exploration in data science and big data. The diversity of projects (e.g., data pipelines, machine learning, web development) indicates a broad interest, but the lack of team-based or professional projects makes it difficult to assess cultural fit in a collaborative work environment. The 'experienceLevel' of 0 combined with a future-dated 'Data Scientist' role suggests a potential misalignment with a senior-level target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile indicates an 'experienceLevel' of 0, which typically suggests entry-level, but also lists a current 'Data Scientist' role starting in 2026, which is in the future. This discrepancy makes it difficult to accurately assess current operational fit.