Description
Technology solutions based on machine learning and data science algorithms in retail, travel & leisure, financial & insurance services, e-commerce, computer vision, and robotics. Using my machine learning expertise I can improve, challenge and transform the way my clients use their data to achieve wider business goals.
Some ML major techniques which may be helpful in your project:
Regression, Classification, Clustering
K-NN, K-Means
SVM, Kernel SVM, Naive Bayes
Decision Tree, Random Forest
Hierarchical, Apriori, Eclat
Thompson Sampling, Markov Models
ANN, DNN, CNN, R-CNN, LSTMS
Self-Organizing Maps for Feature Extraction
Deep Boltzmann Machines for Recommendation Systems
Auto-Encoders for Recommendation Systems
PCA, Kernel PCA, LDA, QDA
k-Fold Cross-Validation
Grid Search
GANS, NLP
Data Science, ML, AI and NLP problems such as:
- Supervised/Unsupervised/Reinforcement learning
- Linear/Logistic Regression
- kNN
- Decision Trees
- Random Forest
- K-means
- Naive Bayes
- Neural Network
- Deep Learning
- Data Mining
- DFS,BFS, A* Algorithms
- Evolutionary Algorithms
Tools and Libraries:
- Tensorflow
- Keras
- Theano
- NLTK
- Caffe
- Sckit-Learn
- Scipy
- Open Cv
Programming and Data structure Problems:
- Algorithm/ Algorithm Analysis
- Simulation
- Console based application
- Cryptography
- GUI Based application
- Database Integration
- Object Oriented Programming
- Multi Threading
- Python Scripts
- Pointers
- Inference Engines
- Sockets
Languages:
- Python
- jupyter Notebook, Visual Studio
- Matlab
Others:
- LINUX
- NVIDIA
- CUDA
- CuDNN
- Bash script
- AWS Server (Ec2), Google Colab
