Mihir Modh

Python / SQL – CrateDB Intern

https://www.opentalent.in/mihir-modh

Ahmedabad, Gujarat, IndiaMember since February 25, 2026

Key Strengths

Strong academic background with an MCA in AI & Machine Learning and a B.Tech in Chemical Engineering (First Class).
Proficiency in Python and SQL, which are core requirements for the target role.
Demonstrated experience in Machine Learning frameworks (Scikit-Learn, TensorFlow, Keras) and data science libraries (Numpy, Pandas, Matplotlib, Seaborn).
Project experience ('Telco Customer Churn Prediction') showcasing end-to-end ML application development, including data preprocessing, model training, deployment, and evaluation.
Familiarity with data engineering tools like Apache Airflow and Databricks, and cloud platforms such as AWS (S3, Lambda, EC2, RDS, IAM).
Certifications in Databricks, Neo4j, AWS Cloud Practitioner, and Apache Airflow 2 Fundamentals indicate proactive learning and foundational knowledge in key areas.
The 'Intern' experience level aligns with the candidate's stated 'experienceLevel' of 0.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 is a critical concern, indicating severe deficiencies in areas such as logical reasoning, work attitude, stress handling, and team collaboration. This score suggests a significant mismatch with typical professional cultural expectations, despite the candidate listing 'Team Collaboration' as a soft skill on their resume. The objective test result takes precedence.

Soft Skills & Operational Fit

The resume lists Problem-Solving, Analytical Thinking, Communication, Team Collaboration, and Attention to Detail. The experience as a Computer Teacher suggests some communication and organizational skills. However, the psychometric test score of 0 raises significant concerns regarding logical reasoning, work attitude, stress handling, and team collaboration, which are crucial for operational fit. Based on the test, the operational fit is critically low.

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 academic background with an MCA in AI & Machine Learning and a B.Tech in Chemical Engineering (First Class).
Proficiency in Python and SQL, which are core requirements for the target role.
Demonstrated experience in Machine Learning frameworks (Scikit-Learn, TensorFlow, Keras) and data science libraries (Numpy, Pandas, Matplotlib, Seaborn).
Project experience ('Telco Customer Churn Prediction') showcasing end-to-end ML application development, including data preprocessing, model training, deployment, and evaluation.
Familiarity with data engineering tools like Apache Airflow and Databricks, and cloud platforms such as AWS (S3, Lambda, EC2, RDS, IAM).
Certifications in Databricks, Neo4j, AWS Cloud Practitioner, and Apache Airflow 2 Fundamentals indicate proactive learning and foundational knowledge in key areas.
The 'Intern' experience level aligns with the candidate's stated 'experienceLevel' of 0.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Mihir Modh

Key Strengths

Cultural & Operational Fit

Skills

Experience

Key Strengths

Cultural & Operational Fit