Farhan Khan

Corenest Tech LLP

Raipur, Chhattisgarh, India

Since February 25, 2026

Skills

analysisMysqlData PreprocessingSQLPythonPower BIData InterpretationHR Analytics

Experience

Corenest Tech LLP

Research Writer & Data Analytics Intern

May 1, 2025 – Present

Techonet Pvt. Ltd.

Data Analytics Trainee

May 1, 2025 – June 1, 2025

Accenture (Forage)

Virtual Intern – Data Analytics

April 1, 2025 – April 1, 2025

Key Strengths

Strong foundational skills in Python, SQL, and data analytics tools (Pandas, Power BI, Excel, SPSS, R) as demonstrated by resume projects and internships.
Practical experience in data cleaning, preprocessing, EDA, KPI design, and visualization, directly relevant to data-centric roles.
Exposure to machine learning concepts and deep learning models (CNN, ResNet50, SVM, XGBoost) through academic projects, indicating strong analytical potential.
Experience with both relational (MySQL, PostgreSQL) and distributed database concepts (implied by CrateDB target role, though CrateDB specific experience is not listed).
Demonstrated leadership and problem-solving abilities through academic activities and project work.
The candidate's profile aligns well with the 'Python / SQL – CrateDB Intern' target role in terms of technical exposure and academic background.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0/500, which specifically assesses logical reasoning, work attitude, stress handling, and team collaboration, indicates a critical mismatch in cultural fit. This score suggests significant deficiencies in fundamental attributes essential for successful integration into a team and adherence to professional standards. Without further context or re-evaluation, this score presents a substantial barrier to 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 analytics tools (Pandas, Power BI, Excel, SPSS, R) as demonstrated by resume projects and internships.
Practical experience in data cleaning, preprocessing, EDA, KPI design, and visualization, directly relevant to data-centric roles.
Exposure to machine learning concepts and deep learning models (CNN, ResNet50, SVM, XGBoost) through academic projects, indicating strong analytical potential.
Experience with both relational (MySQL, PostgreSQL) and distributed database concepts (implied by CrateDB target role, though CrateDB specific experience is not listed).
Demonstrated leadership and problem-solving abilities through academic activities and project work.
The candidate's profile aligns well with the 'Python / SQL – CrateDB Intern' target role in terms of technical exposure and academic background.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit