I am having good exposure to Supply chain management domain and in finance (Algo Trading)
Pandas, Numpy, dask, Networkx, Dash, sklearn, tensorflow,keras
Project #1: Sequence mining in the click stream data
Objectives: To understand the user behavior using click event data and to predict the order probability and next action of the user.
Problem faced: Couldn’t able to identify the bottleneck click events and couldn’t track of market campaigns sales exactly. To give better experience to the visitors
Solution: Using NetworkX build the EDA analysis and using gephi software given visualization of the event click data. Using LSTM- deep learning created the model to predict the order probability and next action of the user.
Project #2: Developed a feature engineering product
Objectives: To develop the feature engineering project, that will help the data scientist to get the data and to do the initial EDA analysis
Problem faced: Since many data scientist working on various projects to build the model, there is always duplicate of huge data. And initially to get the data and do the basic cleaning work items data scientist spending more time on it rather than of hyper tuning the model.
Solution: Created a user interactive web application where user enter the database details and SQL quires. So that this tool record of it help the user. And also we provided the a API link so that user can get the data directly.
Project #3: Root Cause identification of OTD fail items- Decision tree algorithm (ESAB)
Objectives: To improve the OTD of spares items
Problem faced: OTD metric are at the low level
Solution: To proactively work on the sales order to avoid the OTD hit. Developed the forecast model using decision tree algorithm whether to work on the SO (sales Order) proactively or not.
Artificial Intelligence, Keras, Machine Learning, NumPy, Pandas
Joined: Aug. 11, 2019
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