Bharti Manjhi

Gwalior, Madhya Pradesh, India

Since February 17, 2026

Skills

SQLPythonPower BIAdvanced Excel (VBA)

Experience

Future on Campus

Data Analyst

February 1, 2026 – February 1, 2026

Gwalior, M.P., India

Komputiq

Data Science & Analytics Intern

August 1, 2025 – August 1, 2025

Gwalior, M.P., India

Altair

Data Science and ML Intern

July 1, 2025 – September 1, 2025

Gwalior, M.P., India

Key Strengths

Experience with data collection, cleaning, and basic analysis using Python (Pandas, Numpy, Matplotlib) and SQL from internship roles.
Familiarity with data visualization tools like Streamlit, Matplotlib, and Plotly for dashboard creation.
Exposure to ETL processes and machine learning concepts in data science internship contexts.
However, the demonstrated technical proficiency in core Python (20% on a dedicated test) is critically low and does not align with the requirements for a Python Engineer role, even at an entry level.

Skill Analysis

Python Development & Data Privacy

★★★★★

20%

The candidate scored only 20% on a test evaluating core Python 3.x, Regular Expressions, and specialized topics like Django and data privacy. This indicates a severe lack of foundational and advanced proficiency required for a Python Engineer role, with significant gaps in problem-solving and practical implementation.

Python 3.xRegular ExpressionsDjangoData AnonymizationPrivacy Protection

Strengths

Demonstrated very limited foundational knowledge in Python syntax, potentially enough for basic scripting tasks.

Limitations

Significant gaps in fundamental Python problem-solving and coding logic.
Lack of practical understanding and application of Regular Expressions.
No demonstrable proficiency in advanced Python concepts, web frameworks like Django, or data privacy/anonymization techniques.
Inability to apply theoretical knowledge to practical coding challenges.

Cultural & Operational Fit

Cultural Fit Analysis

The low psychometric test score (34%) raises significant concerns regarding the candidate's potential cultural fit, particularly in areas related to adaptability, resilience under pressure, and collaborative work dynamics. A deeper assessment would be required to understand the underlying reasons for this score.

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

Experience with data collection, cleaning, and basic analysis using Python (Pandas, Numpy, Matplotlib) and SQL from internship roles.
Familiarity with data visualization tools like Streamlit, Matplotlib, and Plotly for dashboard creation.
Exposure to ETL processes and machine learning concepts in data science internship contexts.
However, the demonstrated technical proficiency in core Python (20% on a dedicated test) is critically low and does not align with the requirements for a Python Engineer role, even at an entry level.

Skill Analysis

Python Development & Data Privacy

★★★★★

20%

Python 3.xRegular ExpressionsDjangoData AnonymizationPrivacy Protection

Strengths

Demonstrated very limited foundational knowledge in Python syntax, potentially enough for basic scripting tasks.

Limitations

Significant gaps in fundamental Python problem-solving and coding logic.
Lack of practical understanding and application of Regular Expressions.
No demonstrable proficiency in advanced Python concepts, web frameworks like Django, or data privacy/anonymization techniques.
Inability to apply theoretical knowledge to practical coding challenges.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit