This was basically a Q&A system where user can ask questions and service will respond based on trained data.
Technique applied - Used TF/IDF approach (NLTK, Pandas) and deep learning algorithm Word2Vec for creating word vectors and to get sense of question data & respond with correct answer.

I used two approach:-

1. LDA modeling with elastic search.(Which was not effecient).

then i tried with:-

2. RNN + GRU

Still i am working on that..

• Responsible for implementing data mining and statistical machine learning solutions to various business problems.
• Analyze large volumes of data to generate insights and actionable recommendations to drive business growth.
• Contributed to data mining architectures, modeling standards, reporting, and data analysis methodologies.
• Experience in Linear Programming, Quadratic Programming and Genetic Algorithm.

Experience in Statistical Modeling, Optimization, Data Mining, Machine learning techniques and algorithms, Cluster Analysis, Demand Forecasting, Python, Scikit Learn,Tensorflow.

• Responsible for implementing data mining and statistical machine learning solutions to various business problems.
• Analyze large volumes of data to generate insights and actionable recommendations to drive business growth.
• Contributed to data mining architectures, modeling standards, reporting, and data analysis methodologies.
• Experience in Linear Programming, Quadratic Programming and Genetic Algorithm.
• Experience in Statistical Modeling, Time Series Analysis, Optimization, Data Mining, Machine learning techniques and algorithms, Cluster Analysis, Demand Forecasting, R, SQL.

• Responsible for implementing data mining and statistical machine learning solutions to various business problems.
• Analyze large volumes of data to generate insights and actionable recommendations to drive business growth.
• Contributed to data mining architectures, modeling standards, reporting, and data analysis methodologies.
• Experience in Linear Programming, Quadratic Programming and Genetic Algorithm.
• Experience in Statistical Modeling, Time Series Analysis, Optimization, Data Mining, Machine learning techniques and algorithms, Cluster Analysis, Demand Forecasting, R, SQL.

• Creating SSIS packages to fetch the Data from Database to Data Warehouse.
• Deploying packages using project deployment and monitoring daily loads.
• Developing store procedures, triggers, views as an input to the reports.
• Creating scheduled jobs for the database to load data in the tables.