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.
<p>Developed a user-friendly "Chester County Dashboard" using Qlik Sense to visualize trends and patterns in Census data.<br>
Utilized advanced SQL for data cleaning, data aggregation and data transformation using different aggregate functions, windows functions and joins.<br>
Addressed the challenge of disjointed community data sources by organizing and integrating data, providing a clearer overview of needs in Chester County.<br>
Utilized Qlik's powerful visualization features to present insights on poverty rates, healthcare access, educational opportunities, and demographic characteristics.<br>
Provided actionable insights for community leaders, agencies, and partners, advocating for strategic decisions based on data-driven analysis to address identified needs effectively.<br>
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.<br>
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.<br>
Enhanced efficiency by reducing features by 35% while maintaining performance.<br>
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.</p>
<p>Client: Allstate, USA<br>
Domain: Insurance<br>
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.<br>
Utilized SQL queries for extracting, transforming, and loading (ETL) data during the data standardization process.<br>
Spearheaded the complete software development life cycle of the company's dynamic web applications utilizing Java, effectively implementing Struts and Spring Boot frameworks.<br>
Integrated Jenkins for continuous integration and deployment and Managed project dependencies and builds using Maven.<br>
Demonstrated a high level of expertise in the creation of RESTful APIs, a crucial component in enhancing application scalability.<br>
Created and modified static form XSL’s for specific functionalities.<br>
Improved the user interface for insurance transactions by agents by using HTML, CSS, and JavaScript.<br>
Conducted thorough code reviews and debugging sessions, promptly identifying, and resolving issues to maintain high code integrity and functionality.<br>
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.</p>
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