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