Ansh Rastogi

Python Engineer

https://www.opentalent.in/ansh-rastogi

Bareilly, indiaMember since June 24, 2025

Key Strengths

Strong academic foundation in Computer Science and Big Data Analytics (in progress), indicating a solid theoretical base.
Demonstrated exposure to a wide range of Python libraries and frameworks for ML, data analysis, and web development (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, Flask, Django).
Familiarity with Big Data technologies (Apache Spark, Hadoop, Hive, MongoDB) and cloud basics (AWS, Linux).
Project experience applying machine learning (Sports Person Classifier), data analysis (StaySense EDA), and database design (DBMS & MySQL).
Proactive in learning and applying new technologies, as evidenced by diverse skills listed and certifications.
The candidate's technical skills align with the requirements of a Python Engineer role, particularly one with a data science or machine learning focus.

Cultural & Operational Fit

Cultural Fit Analysis

Based on the psychometric test score of 60%, the candidate demonstrates an average alignment with typical workplace expectations regarding logical reasoning, work attitude, stress handling, and team collaboration. This suggests they are likely to integrate adequately into a team environment, but further assessment would be needed to confirm alignment with specific company culture nuances.

Soft Skills & Operational Fit

The psychometric test score of 60% indicates an average fit in areas like logical reasoning, work attitude, stress handling, and team collaboration. The resume mentions a 'quick learner with a problem-solving mindset' and exposure to 'version control, code deployment, and team-based workflows' during an internship, suggesting a foundational understanding of operational practices and a willingness to learn.

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Experience

Eurasia Education Link

Website Developer (SEO) And Social Media Specialist

October 1, 2024 – January 1, 2025

Iwebro Solutions Pvt. Ltd

Junior Engineer Trainee

March 1, 2024 – July 1, 2024

Key Strengths

Strong academic foundation in Computer Science and Big Data Analytics (in progress), indicating a solid theoretical base.
Demonstrated exposure to a wide range of Python libraries and frameworks for ML, data analysis, and web development (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, Flask, Django).
Familiarity with Big Data technologies (Apache Spark, Hadoop, Hive, MongoDB) and cloud basics (AWS, Linux).
Project experience applying machine learning (Sports Person Classifier), data analysis (StaySense EDA), and database design (DBMS & MySQL).
Proactive in learning and applying new technologies, as evidenced by diverse skills listed and certifications.
The candidate's technical skills align with the requirements of a Python Engineer role, particularly one with a data science or machine learning focus.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit