Ankit Singh

Python Engineer

https://www.opentalent.in/ankit-singh

Noida, Uttar Pradesh, IndiaMember since February 11, 2026

Key Strengths

Demonstrated practical Python experience through an internship and multiple projects (ML model building, deployment with Streamlit, ETL pipeline, SQL analysis).
Exposure to a range of relevant technical skills including Python, C++, Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Keras, MySQL, MongoDB, Git, Azure, Firebase.
Experience in deploying ML models as web applications, indicating an understanding of end-to-end data product development.
Involvement in "Founding Data Operations" suggests an early stage exposure to scaling backend data workflows and strategic collaboration, which can be valuable for a growing team.
Volunteer experience indicates leadership, organization, and community engagement.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 provides no data to assess logical reasoning, work attitude, stress handling, or team collaboration. While the resume mentions collaborative and leadership roles in volunteer activities, these are not formally validated by the provided assessment data. Therefore, cultural fit cannot be objectively assessed at this time.

Soft Skills & Operational Fit

The candidate's resume highlights collaboration ("Collaborated directly with the founder"), leadership ("Led the EDC", "Organized events"), and an ability to build and scale operations ("Built and scaled backend data operations"). This suggests a proactive attitude and potential for operational effectiveness. However, the psychometric test score of 0 provides no formal validation of these traits, making it difficult to definitively assess work attitude, stress handling, or team collaboration.

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Experience

Optima Learn

Founding Data Operations

July 1, 2025 – Present

Celebal Technologies

Data Science Intern

May 1, 2024 – July 1, 2024

Key Strengths

Demonstrated practical Python experience through an internship and multiple projects (ML model building, deployment with Streamlit, ETL pipeline, SQL analysis).
Exposure to a range of relevant technical skills including Python, C++, Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Keras, MySQL, MongoDB, Git, Azure, Firebase.
Experience in deploying ML models as web applications, indicating an understanding of end-to-end data product development.
Involvement in "Founding Data Operations" suggests an early stage exposure to scaling backend data workflows and strategic collaboration, which can be valuable for a growing team.
Volunteer experience indicates leadership, organization, and community engagement.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit