Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 1


Python developer

Designed dashboard for BP private monitoring platform - Palantir consisting of:

- developing a python algorithm that recognizes pressure anomaly patterns in real time with 92% accuracy
- it allows simultaneous, real-time identification of pressure anomalies in 100+ oil and gas platforms without direct well intervention
- a web-based user interface for real-time monitoring of well conditions
parameters extractions from BP well database and data management using PostgreSQL
optimized algorithm - reduction of running time by 70% while maintaining high accuracy


Database developer assistant

- Cleaned and integrated 500+ GB of numerical data, 1470 image data, and 744 document files
- Establishment of a well-sorted and fully standardized core database using SQL Server Management Studio Designed a web page outline that provides users with multiple functionalities such as smart search, multi-filtering, visualization
- Web-based database design and construction using Python (Django), JS, Ajax, HTML, SQL

Projects:

Customer Analysis

- Performed dimensionality reduction using principal component analysis respecting trade-off between parsimony and the amount of variation in the data
- Used a hierarchical, followed by non-hierarchical clustering techniques combination on newly discovered variables
- Interpretation of principal components loadings and clusters for a better understanding of customer segments

Games recommendation system

- Researched about drawbacks of traditional collaborative and content based approaches in recommender systems
- Built a 2 layer Machine learning system comprising of LightFM for user generation and gradient boosted decision tree for user ranging