Detail oriented Data Analyst with 6 years of experience as a Technology analyst. Skilled in utilizing Python, SQL querying, Data Warehousing, ETL, Data Mapping, Data profiling and various BI tools such as Tableau, Qlik a…
Detail oriented Data Analyst with 6 years of experience as a Technology analyst. Skilled in utilizing Python, SQL querying, Data Warehousing, ETL, Data Mapping, Data profiling and various BI tools such as Tableau, Qlik and Power BI.
• Developed a user-friendly "Chester County Dashboard" using Qlik Sense to visualize trends and patterns in Census data.
• Addressed the challenge of disjointed community data sources by organizing and integrating data, providing a clearer overview of needs in Chester County. Utilized Qlik's powerful visualization features to present insights on poverty rates, healthcare access, educational opportunities, and demographic characteristics.
• Utilized advanced SQL for data cleaning, data aggregation and data transformation using different windows functions and joins.
• Provided actionable insights for community leaders, agencies, and partners, advocating for strategic decisions based on data-driven analysis to address identified needs effectively.
• Performed an advanced technology roadmap architecture analysis of Machine Learning in Healthcare and Semiconductor Manufacturing Industries to assess the Market Capitalization Growth trend within the industry.
• Developed a semiconductor manufacturing yield prediction model using Python with 100% accuracy, leveraging advanced statistical methods and machine learning algorithms like XGBoost, SVM, and Random Forest. Enhanced efficiency by reducing features by 35% while maintaining performance.
• The project's focus on data visualization allowed for a thorough assessment of the Market Capitalization Growth trend within the industry, providing valuable insights for strategic decision-making and industry analysis.
Developed a user-friendly "Chester County Dashboard" using Qlik Sense to visualize trends and patterns in Census data.
Utilized advanced SQL for data cleaning, data aggregation and data transformation using different aggregate functions, windows functions and joins.
Addressed the challenge of disjointed community data sources by organizing and integrating data, providing a clearer overview of needs in Chester County.
Utilized Qlik's powerful visualization features to present insights on poverty rates, healthcare access, educational opportunities, and demographic characteristics.
Provided actionable insights for community leaders, agencies, and partners, advocating for strategic decisions based on data-driven analysis to address identified needs effectively.
Performed an advanced technology roadmap architecture analysis of Machine Learning in Healthcare and Semiconductor Manufacturing Industries to assess the Market Capitalization Growth trend within the industry.
Developed a semiconductor manufacturing yield prediction model using Python with 100% accuracy, leveraging advanced statistical methods and machine learning algorithms like XGBoost, SVM, and Random Forest.
Enhanced efficiency by reducing features by 35% while maintaining performance.
The project's focus on data visualization allowed for a thorough assessment of the Market Capitalization Growth trend within the industry, providing valuable insights for strategic decision-making and industry analysis.
Client: Allstate, USA
Domain: Insurance
Led and orchestrated a highly successful data standardization as a part of Master Data Management(MDM) initiative targeting insurance policy data, employing innovative data mapping (CDB to ACXML), strategies resulting in a remarkable 80% improvement in data quality and integrity.
Utilized SQL queries for extracting, transforming, and loading (ETL) data during the data standardization process.
Spearheaded the complete software development life cycle of the company's dynamic web applications utilizing Java, effectively implementing Struts and Spring Boot frameworks.
Integrated Jenkins for continuous integration and deployment and Managed project dependencies and builds using Maven.
Demonstrated a high level of expertise in the creation of RESTful APIs, a crucial component in enhancing application scalability.
Created and modified static form XSL’s for specific functionalities.
Improved the user interface for insurance transactions by agents by using HTML, CSS, and JavaScript.
Conducted thorough code reviews and debugging sessions, promptly identifying, and resolving issues to maintain high code integrity and functionality.
Consistently upheld the principles of agile and scrum methodologies using Jira, maintaining an exceptional track record of 100% on-time project delivery, showcasing a strong commitment to project management and delivery excellence.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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