Want to gain that competitive edge in your business?

AlgoAnalytics’ Advance Data Science and Cloud Driven approach can help your business meet those demanding challenges.

We have technical expertise across multiple spheres of AI/ML and Cloud. Our expertise with Deep Learning algorithms can efficiently deploy the high level statistical and AI models on the various Cloud Platforms.

Since our inception, our hands-on approach and in-depth knowledge of multiple input data types has been successfully implemented for our global clients.

Our areas of technical expertise:

Machine Learning and Deep Learning (ML / DL)
Languages :

Python, R, Shell scripting, Java, Javascript

Libraries and Frameworks :

RStudio, Scikit- Learn, Pandas, Numpy, TensorFlow, Keras, Xgboost, Gensim

Algorithms :

Linear Regression, Logistic Regression, Nearest Neighbor Algorithms, Support Vector Machine (SVM), Convolutional Neural Networks, Recurrent Neural Networks, Memory Networks, Decision Tree, Random Forest, Multivariate regression, K-Means Clustering, Fuzzy C-means algorithms, Hierarchical Clustering algorithm

Computer Vision (CV)
Softwares :

OpenCV with C++ or Python, Matlab, TensorFlow, DeepFace, YOLO, Octave

Tasks :

Object recognition, identification and detection Optical Character Recognition (OCR), Facial Recognition, Motion Analysis, Image Restoration

Natural Language Processing (NLP)
Languages :

Python, Java, R

Models :

Bidirectional Encoder Representations from Transformers (BERT), biLSTM, Universal Encoder, Encoder-Decoder, Enhance Representation through knowledge integration (ERNIE), YOLO, Siamese Network, Text-to-Text Transfer Transformer (T5), SPACY, Generative pre-training model (GPT), FLAIR, latent Dirichlet allocation (LDA)

Deep learning in Cloud
Services :

Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)

APIs :

Google, LinkedIn, Twitter, Facebook, Microsoft, IBM

We have developed special expertise for machine learning in AWS which includes

Sagemaker, Comprehend, Forecast, Translate, Kendra, Transcribe, Texttract, DeepLens and many more

Data Analytics and ML Ops
Tools :

D3JS, Qlikview, Microsoft Power BI, Plotly, ggplot2

Techniques :

Hyperparameters Optimization, Plotly Prediction Table, Decision Trees, Decision Boundaries, Artificial Neural Networks,CI/CD, AWS Pipelines

Web Applications
Frameworks :

Angular, React, Vue, Meteor, Node.js, jQuery, Django, Flask, CherryPy, Pyramid