3 years of experience as a Data Analyst and proficient in database management and data warehousing. Experienced in full software development life cycle: requirement gathering, prototyping, design, testing and maintenance…
3 years of experience as a Data Analyst and proficient in database management and data warehousing. Experienced in full software development life cycle: requirement gathering, prototyping, design, testing and maintenance.
As a Data Engineer/ Data Analyst with a Bachelor of Engineering degree from Jawaharlal Nehru Technological University, I have strong skills in Python, SQL, machine learning, and ETL. I have over two years of experience in extracting, cleaning, and analyzing large datasets, identifying actionable insights that improved business operations.
In my most recent role at Cognizant, I collaborated with cross-functional teams to optimize and scale the data pipeline, enabling it to handle a 200% increase in incoming data volume. I am passionate about finding innovative solutions to complex data problems, and I am eager to apply my skills and experience to new challenges and opportunities.
Gathered address related data from various sources including user submissions, public records (USPS), and third-party providers.
Developed algorithms to validate and standardize addresses ensuring they adhere to accuracy standards.
Integrated the cleaned address data into Apple Maps’ existing database.
Implemented validation checks to ensure the accuracy and completeness of the integrated data.
Used SQL for data querying and analysis and GIS Tools for spatial data handling.
Designed and executed complex SQL queries to create joins, unions, group by/order by and aggregate functions to extract data from different sources with timely validation and reports.
Performed and executed DDL (Data Defining Language), DML (Data Manipulation Language) and DQL (Data Query Language) to perform CRUD operations - Create, Read, Update and Delete, Patch the data.
Leveraged Python and SQL to extract, clean, and analyze large data sets (ETL process), identifying actionable insights that improved business operations.
Utilized Python libraries such as NumPy and Pandas to analyze large datasets, resulting in 20% increase in data accuracy.
Presented data driven insights to product managers to help improve data accuracy.
Experienced working in various phases of the Software Development Life Cycles (SDLC) including Agile methodologies such as Scrum.
Acted as a liaison between the technical teams and the business stakeholders with an ability to communicate technical information to non-technical stakeholders and mentored teams on business value-oriented conflict resolution.
Thorough understanding of Business Intelligence (BI) and experience in creating interactive, analytical dashboards using Power BI for Data Analysis and generating data reports as requested by the Business Users and different Departments.
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