Data scientist || Computer vision || NLP || B. Tech in ECE
I'm a Data scientist at BlackBuck Insight, I do Data collection, Data preparation, Data cleansing, Data analysis and Data visualization.
Responsible in developing system models, prediction algorithms, solutions to prescriptive analytics problems, data mining techniques and extensive Data analysis
Performed Data extraction, Data preparation, Data cleaning, Data analysis and visualizations to deliver meaningful insight from the large Dataset to solve the complex business challenges.
Extracted high volume FHIR data and Loaded the same to Postgres SQL Database for analyzing the record/sections
Developed NLP models/pipeline POC for the Section Extraction, Section Identification for the medical records.
Identify and assess available machine learning and statistical analysis libraries (including regressors, classifiers, statistical tests, and clustering algorithms).
Categorize site into positive and negative clusters to retrieve clinical data from the site with low retrievability cost and High retrievability speed using Statistical models and Text Analytics.
Perform Data Cleaning, features scaling, features engineering using pandas and NumPy packages in python.
Collaborated with the team to analyze performance of the multiple NLP Engine such as AWS Comprehend, Google Health care, Optum NLP for various NLP Tasks.
Worked on multiple vendors NLP System, Analyzed the NLP System result and suggested best NLP System based on the performance to the stakeholders.
Electronic Medical Record Data analysis using the Elastic search and visualization using Kibana.
Contributed for automating Repetitive and proactive task of Huawei MS Department & Pioneered Process automation under the domain specific areas in Telecom.
Developed and successfully implemented process automation for Saudi Zain MS Project at Huawei.
IP - vlan Data analysing tool (Tools: - VBA, Ant robot, Batch script, Macros): - Designed and developed tool to support the Analysis team to significantly reduce the workload.
Controller Utilization Processing tool (Tool: - VBA, Ant robot, Batch script): - Associated with Data Analysis team to prepare the 2G/3G Controller Utilization report tool.
Responsible for Deploying and Configuring Retail Software and Helping the back-end team to make the audit report
Troubleshooting of the retail software
Procurement of Retailer pos report in first of every month
Proficient with Microsoft Office (word, excel, outlook)
Contributed for automating Repetitive and proactive task of Huawei MS Department & Pioneered Process automation under the domain specific areas in Telecom.
Developed and successfully implemented process automation for Saudi Zain MS Project at Huawei.
IP - vlan Data analysing tool (Tools: - VBA, Ant robot, Batch script, Macros): - Designed and developed tool to support the Analysis team to significantly reduce the workload.
Controller Utilization Processing tool (Tool: - VBA, Ant robot, Batch script): - Associated with Data Analysis team to prepare the 2G/3G Controller Utilization report tool.
Responsible for Deploying and Configuring Retail Software and Helping the back-end team to make the audit report, troubleshooting of the retail software, Procurement of Retailer pos report in first of every month, Proficient with Microsoft Office (word, excel, outlook)
Responsible in developing system models, prediction algorithms, solutions to prescriptive analytics problems, data mining techniques and extensive Data analysis
Performed Data extraction, Data preparation, Data cleaning, Data analysis and visualizations to deliver meaningful insight from the large Dataset to solve the complex business challenges.
Extracted high volume FHIR data and Loaded the same to Postgres SQL Database for analyzing the record/sections
Developed NLP models/pipeline POC for the Section Extraction, Section Identification for the medical records.
Identify and assess available machine learning and statistical analysis libraries (including regressors, classifiers, statistical tests, and clustering algorithms).
Categorize site into positive and negative clusters to retrieve clinical data from the site with low retrievability cost and High retrievability speed using Statistical models and Text Analytics.
Perform Data Cleaning, features scaling, features engineering using pandas and NumPy packages in python.
Collaborated with the team to analyze performance of the multiple NLP Engine such as AWS Comprehend, Google Health care, Optum NLP for various NLP Tasks.
Worked on multiple vendors NLP System, Analyzed the NLP System result and suggested best NLP System based on the performance to the stakeholders.
Electronic Medical Record Data analysis using the Elastic search and visualization using Kibana.
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