Our services
ML Engineering
ML Engineering is gluing together data pipeline, training, prediction and lastly an action. We specialize in productionizing machine learning models in large scale data centers or in edge computing. We have over 10 years of experience in Quantitative Finance specializing in ML Engineering. Data driven decision making is the future of business. Let us build your next project either on a distributed system or on cloud services like AWS, Google Cloud Platform, Azure.
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Python
OpenCV
Scikit-learn
Jupyter Notebook
R
MATLAB
SQL
OpenNN
TensorFlow
Keras
PyTorch
Java
Google ML Kit
MLflow
Amazon SageMaker
Microsoft Computer Vision AI
Amazon Rekognition
Google Cloud Vision API
Azure Face API
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AR Models ( ARIMA, ARCH)
Dynamic Linear Regression
Neural networks
Classification models
Linear regression
Bayesian model
Deep learning
Supervised learning
Unsupervised learning / Clustering computing
Decision trees
Learning to rank
Logistic regression
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Data mining: Data collection from various data sources
Data transformation: Transform data from various sources to build features
Training and Prediction
Data comprising: Merge prediction with in house data
Deliver Data: Save or deliver outputs on disk or deliver to a cloud service
Data Engineering
One of the earlier errors a growing business make is on their data infrastructure. Often there are no central repository of data but compartmentalized and product specific databases. As the business scales up this sort of database solution doesn't scale very well.
We design central data repository. Engineer and transform traditional (SQL, Oracle, etc) database into newer and faster NoSQL(parquet, delta, avro) data store at enterprise level. The solution can be applied both on-premise or on the cloud.
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Wide data vs long data
Big data Visualizer/Explorer
API integration requirements Product(program) dependencies
Data robustness for computation
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Apache Parquet, Avro, Delta, Feather
Apache Cassandra
Apache Hadoop
Apache Spark
Azure data factory
BigQuery
Java
MATLAB
Python
R
Snowflake
Databricks,
Snowflake
AWS redshift
NoSQL
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On-prem vs cloud strategy
Automations
Big data
Data acquisition and onboarding
Data extraction, transformation and load (ETL)
Data flow
Data manipulation
Normalization
SQL, ORACLE, PostgreSQL -> NoSQL
Time Series Model
We can scale up or take on your next enterprise level time series model. Our in house quantitative researcher/engineer has almost a decade of experience in finance and time series model development. We can deploy advanced dynamic learning models over large scale data such as financial market data Through ML engineering we can fully automate data mining, training, prediction and execution.
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Classical Econometric Model
Trend and Seasonality Model
Auto Regressive Model: AR, ARMA
State Space Model: ARIMA, Kalman Filter
Heteroskedastic & Structural break: ARCH, GARCH
Vector Error Correction Model ( VECM)
Autoregressive Distributed Lag Model (ARDL)
Polynomial Regression
Bagging models
Boosted models
Decision tree regressor
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R
Python + Scikit-learn
TensorFlow + Keras
Java + Apache math libraries
MxNet
DL4J
Jupyter Notebook
Classification Model
We can scale up your model across millions of data points or take on your next enterprise level classification model to achieve business objectives and to help you make better decisions. We have 10+ years of experience in classification model development and ML engineering to fully automate data mining, training, prediction and delivery of outputs.
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Customer behavior prediction
Document classification
Spam filtering
Image classification
Product categorization
Image sentiment analysis
Customer churn prediction
Customer behavior assessment for promotional offers
Anomaly detection problems such as fraud detection
Credit card fraud detection
Credit-worthiness assessment
Blocked order release recommendation
Sentiment analysis
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Logistic regression
Decision trees
Random forest
XGBoost
Light GBM
Voting classifiers
Bagging and Boosted Techniques
Artificial neural networks
Web API
The final stage of a data driven business is to serve customers. We build REST APIs with speed and concurrency in mind. Whether you're looking to serve your external clients or internal, let us transform your flat files into a robust web service.
Automation
Automation is at the heart business optimization. Everything from daunting tasks to time consuming processes can be automated to optimize how your business runs. Automation takes the pressure off so that your employee can focus on creativity.