Accelerate your Data Engineering needs with Taliun's expertise in building meaningful and actionable insights leveraging data sourcing, aggregating and data visualization 

Data Engineering


With more avenues of data storage, it is important to decide your data ingestion, storage, and engineering strategy. For an organization which uses different electronic data capture systems for various types of data, consolidation and integration of your data has never been of a strategic importance. Taliun team of Data Scientists, Data Engineers, and Storage Architects will help your team to realize your strategies around data engineering through data lake, data warehouse, data marts, or custom self-service no-code analytics solutions. We analyze, plan and deploy an implementation approach with your team to empower the data culture that is needed. 


With the advent of AI and ML, Taliun provides expertise in the latest Artificial Intelligence, Machine Learning, and Deep Learning techniques. The use of ML and AI has enabled us to integrate different types of data to generate meaningful and actionable insights. 

Data Engineering Approach


Our Data Engineering Approach leverages smart extraction tools that extract structured and unstructured data from different sources, transform it, and then load it in a data warehouse.  Data is further analyzed with modeling techniques before getting pushed for visual analytics. 

Our success stories range from executing end-to-end data engineering engagements in edutech, health tech, pharmatech, and digital mortgage space. 


To know more about our success stories, feel free to reach us at info@taliun.com

Work we executed

We have used technologies like Python, R, Markdown, Shiny, Tensorflow, Keras etc to execute various data science work

Predicting Advertisement impact on Sales

Worked on an automated market model for an FMCG product to predict sales, effects of promos and advertisement in a real market

Sentiment 
Analysis

Built a model for prediction of sales looking at customer reviews using sentiment analysis

Recurrent 
Neural Network

Forecasting of sales data using ARIMA and Recurrent Neural Networks

Micro Array 
Analysis

Formulated a novel strategy of DNA micro-array analysis using Non-negative matrix factorization.

Rating 
Prediction

Build a model for prediction of movie ratings (IMDB) from user reviews using LSTM

Predicting Biological indicator

Made a Deep-Learning based model for the prediction of biological indicators

Model for premature 
mortality rates

Built a model for studying premature mortality rates across Australia

Correlate candidate emotions

POC for an HR company to correlate candidate emotions with job function

Actionable insights on customer data

 Built a template for providing actionable insights to a B2B firm based on customer data