Sambit Patra

GIET University

Phulbāni, Odisha, India

Since April 12, 2026

Skills

Data AnalysisPythonExcelAdvanced Excel (VBA)SQLData ModelingData Cleansing

Education

GIET University

B.Tech · Computer Science

September 10, 2022 – April 14, 2026

Key Strengths

Strong foundational skills in Python, SQL, and data manipulation libraries (Pandas, NumPy).
Demonstrated ability to apply Machine Learning and Deep Learning techniques through multiple projects (NLP, object detection, classification).
Experience with data analysis, cleaning, transformation, and visualization using tools like Power BI and Tableau.
Proactive self-learner, evidenced by Coursera, LeetCode, HackerRank, and NPTEL achievements.
Exposure to various databases (MySQL, Oracle, PostgreSQL).
For a Data Engineer role, the candidate shows potential in data processing and database interaction, but lacks specific experience in distributed systems, ETL orchestration, data warehousing, or cloud data platforms typically expected at a senior level. The current profile leans more towards ML Engineering or Data Analysis.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 out of 500, which evaluates logical reasoning, work attitude, stress handling, and team collaboration, indicates a complete lack of demonstrated cultural fit and essential workplace attributes. This score is a significant concern and suggests the candidate does not meet basic requirements for cultural and operational fit.

Soft Skills & 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

Key Strengths

Strong foundational skills in Python, SQL, and data manipulation libraries (Pandas, NumPy).
Demonstrated ability to apply Machine Learning and Deep Learning techniques through multiple projects (NLP, object detection, classification).
Experience with data analysis, cleaning, transformation, and visualization using tools like Power BI and Tableau.
Proactive self-learner, evidenced by Coursera, LeetCode, HackerRank, and NPTEL achievements.
Exposure to various databases (MySQL, Oracle, PostgreSQL).
For a Data Engineer role, the candidate shows potential in data processing and database interaction, but lacks specific experience in distributed systems, ETL orchestration, data warehousing, or cloud data platforms typically expected at a senior level. The current profile leans more towards ML Engineering or Data Analysis.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit