Suruchi Kumari

Sītāmarhi, Bihar, India

Since February 12, 2026

Skills

Front-endPythonSQLLeadership

Experience

National Institute of Technology (NIT), Delhi, India

Summer Intern

June 1, 2025 – July 1, 2025

Delhi, India

My Job Growth

Data Science & ML Intern

April 1, 2025 – June 1, 2025

Amritsar, Punjab, India

Inspire Infotech Solution

Ex-Intern in Data Analytics

January 1, 2025 – February 1, 2025

Amritsar, India

Key Strengths

Demonstrated internship experience in Data Science, Machine Learning, and Data Analytics.
Proficiency in Python for data analysis, ML model development, and algorithm implementation (MONARCH, ACO).
Exposure to data visualization tools like Power BI and database management with SQL.
Experience in Wireless Sensor Network (WSN) projects, including algorithm development for energy efficiency.
Possesses teamwork and presentation skills, as evidenced by a 'Team Coordinator' role and 'Award for Best Poster Presentation'.
Significant mismatch between the candidate's technical profile (Data Science, ML, MERN) and the stated target role of 'HR Intern'.

Skill Analysis

MERN Stack Development

★★★★★

65%

The candidate scored 65% on the MERN : Intern test, indicating a fair grasp of fundamental MERN stack concepts. However, the score also highlights substantial areas for improvement in more advanced topics and practical application.

JavaScriptMongoDBNoSQLCSSNode.jsReactSassFrontend DevelopmentBackend DevelopmentWeb Development

Strengths

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 43.8% is considerably low, which raises concerns regarding the candidate's potential cultural fit. This score suggests possible areas for development in adaptability, resilience under stress, and collaborative dynamics, which are critical for integrating into a team and company culture.

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