Bibek Gyawali

Data Scientist

https://talent.gravityer.com/bibek-gyawali

Member since June 27, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects (ANN-based Prediction, Housing Price Prediction, Stock Market Prediction, Credit Card Fraud Detection).
Proficiency in Python and Jupyter Notebook, which are core tools for Data Scientists.
Experience with various machine learning models including Artificial Neural Networks (ANN), LSTM, and Logistic Regression.
Exposure to data analysis and prediction tasks relevant to the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong initiative in personal projects, many of which align with the Data Scientist role. The diversity of projects, from e-commerce to financial prediction, indicates a broad interest and willingness to explore different domains. The focus on data science and machine learning projects suggests a good alignment with the target role's technical demands.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

ANN-based-Prediction-of-Final-Construction-Cost-of-Residential-Buildings-in-Kathmandu-Valley-at-an-E

April 17, 2026 – Present

ANN-based-Prediction-of-Final-Construction-Cost-of-Residential-Buildings-in-Kathmandu-Valley-at-an-E — GitHub repository

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Housing-Price-Prediction-Based-on-Structre

April 16, 2026 – Present

Housing-Price-Prediction-Based-on-Structre — GitHub repository

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nepse-auto-buy-sell-extension

March 15, 2026 – Present

nepse-auto-buy-sell-extension — GitHub repository

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Stock-Market-Prediction-using-LSTM-NEPSE-Dataset

November 24, 2025 – November 24, 2025

Stock-Market-Prediction-using-LSTM-NEPSE-Dataset — GitHub repository

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Credit-Card-Fraud-Detection-using-Logistic-Regression

November 24, 2025 – November 24, 2025

Credit-Card-Fraud-Detection-using-Logistic-Regression — GitHub repository

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restro-frontend

October 24, 2025 – November 17, 2025

restro-frontend — GitHub repository

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civionnew

September 21, 2025 – October 11, 2025

civionnew — GitHub repository

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rupixai

September 19, 2025 – September 20, 2025

rupixai — GitHub repository

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ecommerce-ui

August 3, 2023 – December 1, 2023

ecommerce-ui — GitHub repository

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flutter-laravel-ecommerce

February 14, 2023 – July 4, 2023

flutter-laravel-ecommerce — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects (ANN-based Prediction, Housing Price Prediction, Stock Market Prediction, Credit Card Fraud Detection).
Proficiency in Python and Jupyter Notebook, which are core tools for Data Scientists.
Experience with various machine learning models including Artificial Neural Networks (ANN), LSTM, and Logistic Regression.
Exposure to data analysis and prediction tasks relevant to the target role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Bibek Gyawali

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit