Technical Skills
Embracing Innovation Techniques in Problem-Solving: Continuous Learning and Growth
Programming Languages
Python / R / Java / SQL / SAS
DataBase
MySQL / MongoDB / Elasticsearch / Neo4j
Machine Learning Frameworks
PyTorch / TensorFlow / Keras / Scikit-learn
Big Data Technology
Hadoop / Hive / Spark
Data Visualization
Tableau / PowerBI / Matplotlib/ ggplot2
Developer Tools
Git / Docker / AWS / Linux / Bash
Machine learning Applicaiton
- Churn Prediction Model
- Credit Risk Modeling
- Price and Volume Forcasting
- Recommendation system
- Natural Language Processing (NLP)
- Image Classification
- Feature Selection/Engineering
Statistical Analysis
- Hypothesis Testing
- Regression Analysis
- Multivariate Analysis
- Time Series Analysis
- Probabilistic Graphical Model (PGM)
- Experimental Design and A/B Testing
Machine Learning/Deep Learning
Supervised Learning
- K-Nearest Neighbors (KNN)
- Support Vector Machines
- Decision Trees
- Random Forest
- XGBoost / LightGBM
Unsupervised Learning
- K-Means Clustering
- Hierarchical Clustering
- Principal Component Analysis (PCA)
- Latent Dirichlet allocation (LDA)
Convolutional Neural Networks (CNN)
Graph Neural Network (GNN)
Natural Language Processing (NLP)
- Text Processing
- Sentiment Analysis
- Topic Modeling