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Data Engineer.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
awesome-kaggle-kernels
August 22, 2020 – September 8, 2020
Compilation of good Kaggle Kernels.
View Projecttext-similarity-classification
July 16, 2020 – August 3, 2020
Identify Text Sentences Similarity with Topic Modelling.
View Projectnfl-injuries-analytics
June 29, 2020 – June 29, 2020
NFL Injuries Analystics Competition on Kaggle.
View Projectpyspark-movie-recommendation-system
June 29, 2020 – June 29, 2020
Movie Recommendation System using The Movies Dataset on Kaggle.
View Projectnews-classification-distilbert
June 29, 2020 – June 29, 2020
Exploratory data analysis (EDA) and category classification of the news posted in HuffPost using the Headlines and Short Descriptions of these news.
View Projectcustomer-churn-prediction
June 29, 2020 – April 1, 2024
Customer Churn Prediction using PyCaret.
View Projectdigit-recognizer-catalyst-nvidia-apex
November 29, 2019 – April 18, 2020
MNIST Digit Recognizer with PyTorch/Catalyst + AMP(NVIDIA/Apex)
View ProjectCultural Fit Analysis
The candidate's projects show a strong individual initiative and a focus on personal learning and exploration within the data science domain. The diversity of project topics (digit recognition, news classification, churn prediction, recommendation systems, anomaly detection) indicates a broad interest in applying data science techniques. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration and cultural alignment within a team setting. All projects are personal, which is common for an entry-level candidate, but for a senior role, more collaborative or production-oriented experience would be expected.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.