Profile URL

Mihir Modh

Ahmedabad, Gujarat, India

Since February 25, 2026

Skills

PythonSQLMysqlAPI IntegrationJavaPyTorchLinuxNosqlProblem SolvingHTML5AWS Cloud ServiceMachine LearningGit-GitHubDevOpsData PreprocessingPredictive ModelingAI EngineersModel EvaluationTensorFlowCSSETL Pipelines

Experience

Universal Public School

Computer Teacher

July 1, 2023 – April 1, 2024

Sidhpur, Gujarat, India

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

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