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About Me
Professional with 3 years of broad work experience in Data Science and Machine learning, having a strong passion for Deep Learning and Artificial Intelligence. Strong expertise in the areas of Classification, Regression, Recommender Systems, Support ...lligence. Strong expertise in the areas of Classification, Regression, Recommender Systems, Support Vector Machines, Decision Trees, Text Mining, Natural Language Processing (NLP), forecasting. Experienced in processing large data sets using predictive analytics techniques and implementing complex decision support systems. Work experience in domain like Telecommunication.
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Description
Global services(GS) is a very big part of B.T telecom on global level telecom services. GS have many routers which are facing critical failures which interrupts their services on global level. The client needed a machine learning model to predict and forecast the faults. To solve this, syslog of router is analyzed to understand and build the machine learning rules to capture the faults and also used latest machine learning techniques to forecast the faults over time.
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Design and build M.A. D level dashboard using R shiny to generate the topics and predict the topic for the given text file. Helps the clients towards initiating the analysis.
Responsibility
- To understand the client requirement and suggest suitable approach.
- Design and build M.A. D level dashboard.
Description
Cosmos is the system which captures the customer’s order data and complaints regarding the order. Client wants
an algorithm that can classify the text or machine log into the different problems and also detect the cause of any
fatal problem.
Responsibility
- To understand the client requirement and suggest suitable approach.
- Extract data from HAAS platform using impala or hive script.
- Analyze Log data to understand the contents, structure and produce a statistical analysis
- Produce different machine learning models with acceptable accuracy to client.
- Visualization of insight for business.
Description
OFCOM is the government-approved regulatory and competition authority for the broadcasting, telecommunications and postal industries of the United Kingdom. Client want to predict which BT customer is going to complain to OFCOM in next one month.
Responsibility
- To understand the client requirement and suggest suitable approach.
- Providing high level design with Selections of tools & technologies.
- Extract data from HAAS platform using impala or hive script.
- Analyzing the customer data and producing statistical analysis to understand the data from different aspects.
- Produce different machine learning models with acceptable accuracy to client.
- Visualization of output for business.
Description
Openreach is an independent body of BT which mostly deals with the services related to telecom and broadband
request for different customers in UK. Client wants to predict fora given order how much time it will take to
complete and duration of each process in the order. If order is going to be delayed they want to know in advance the
root cause for that.
Responsibility
- To understand the client requirement and suggest suitable approach.
- Extract data from HAAS platform using impala or hive script.
- Analyze Log data to understand the contents, structure and produce a statistical analysis
- Produce different machine learning models with acceptable accuracy to client.
Visualization of insight for business
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