mew

Data Scientist

https://talent.gravityer.com/mew

☁

EpicGames

Key Strengths

Demonstrated interest in Data Science through multiple personal projects (Weather Prediction, Music Generation, COVID-19 Prediction, Sentiment Analysis, Liver Patient Classification).
Experience with key Data Science tools and libraries like Jupyter Notebook, Python, Keras, and XGBoost.
Exposure to various machine learning techniques including polynomial features, neural networks (LSTM with attention), and gradient boosting.
Some experience with full-stack development concepts (Flask, HTML, CSS, JavaScript) in the context of ML applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong personal drive and interest in diverse applications of data science and programming, which could indicate a proactive and curious mindset. However, the lack of team-based projects or detailed descriptions makes it difficult to fully assess cultural fit, such as collaboration style or adaptability. The target role is Data Scientist, and the projects align well with this domain, indicating a good foundational interest.

Soft Skills & Operational Fit

The provided data is insufficient to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration, problem-solving approaches, or communication style.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

major-project

June 26, 2021 – May 1, 2023

Code of my major project

View Project

DS-ALGO-plus-plus

March 6, 2021 – May 24, 2021

Code repo from the algo++ course

View Project

Liver-Patient-Classification-

September 26, 2020 – September 26, 2020

Classification of patient with liver Failure. Part of the Kyrion Technologies Internship Project

View Project

Mewzic

August 19, 2020 – May 1, 2023

A full stack project based on Flask coupled with Keras to create a Neural Network (LSTM with attention) that learn to generate music

View Project

Deep-Learning-Specialization-

June 25, 2020 – July 8, 2020

notes and files

View Project

Covid19-Prediction-Analysis-XGBoost

April 29, 2020 – September 6, 2020

Using XGBoost to predict deaths due to COVID19 and temperature of a respective region.

View Project

Weather-Prediction-

March 30, 2020 – September 6, 2020

Weather predictions using PolynomialFeatures with a dataset gathered from the DHT sensor using Arduino uno

View Project

Sentiment-Analysis-platform

March 30, 2020 – September 6, 2020

The abc of sentiment analysis ,

View Project

Java-Resource-Monitor

September 20, 2019 – September 6, 2020

JVM resource utilization package

View Project

Cortex

August 4, 2019 – September 6, 2020

Cortex : Game library management system (C++) accessed using Face Unlock (Open CV-Python)

View Project

Key Strengths

Demonstrated interest in Data Science through multiple personal projects (Weather Prediction, Music Generation, COVID-19 Prediction, Sentiment Analysis, Liver Patient Classification).
Experience with key Data Science tools and libraries like Jupyter Notebook, Python, Keras, and XGBoost.
Exposure to various machine learning techniques including polynomial features, neural networks (LSTM with attention), and gradient boosting.
Some experience with full-stack development concepts (Flask, HTML, CSS, JavaScript) in the context of ML applications.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

mew

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit