Deepansh Parashar

Python Engineer

https://www.opentalent.in/deepansh-parashar

Gwalior , indiaMember since September 29, 2025

Key Strengths

Candidate is pursuing an M.Tech in Computer Science Engineering with a specialization in Machine Learning, indicating a foundational interest and academic background relevant to a Python Engineer role, especially with an ML focus.
Demonstrated practical application of Python for Machine Learning through the 'Calorie burn prediction' project, including data preprocessing, model implementation (Linear Regression, Gradient Boosting, CatBoost, LightGBM), and evaluation (R² score ~0.98+).
Familiarity with key Python libraries for data science (Pandas, Matplotlib, Scikit-learn) and development tools (VS Code, Google Colab, Git).
Experience with embedded systems and hardware interaction through the 'Arduino based third eye for blind people' project, involving ultrasonic sensors and microcontrollers.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 is a critical concern, as it directly evaluates aspects crucial for cultural fit, including logical reasoning, work attitude, stress handling, and team collaboration. This score suggests a significant risk regarding the candidate's ability to integrate and perform effectively within a team-oriented professional environment.

Soft Skills & Operational Fit

The candidate self-reports communication skills, leadership, and time management. However, the psychometric test score of 0 raises significant concerns regarding logical reasoning, work attitude, stress handling, and team collaboration, directly contradicting the self-reported soft skills. This indicates a potential mismatch in operational fit.

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Experience

CRYSTALTECH SERVICES Pvt. Ltd.

web development intern

January 17, 2024 – May 10, 2024

AFFY INFORMATICS

Training in JAVA SE

January 2, 2022 – February 15, 2022

Key Strengths

Candidate is pursuing an M.Tech in Computer Science Engineering with a specialization in Machine Learning, indicating a foundational interest and academic background relevant to a Python Engineer role, especially with an ML focus.
Demonstrated practical application of Python for Machine Learning through the 'Calorie burn prediction' project, including data preprocessing, model implementation (Linear Regression, Gradient Boosting, CatBoost, LightGBM), and evaluation (R² score ~0.98+).
Familiarity with key Python libraries for data science (Pandas, Matplotlib, Scikit-learn) and development tools (VS Code, Google Colab, Git).
Experience with embedded systems and hardware interaction through the 'Arduino based third eye for blind people' project, involving ultrasonic sensors and microcontrollers.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit