Kund E
Summary
- Data Analysis and Insights: Delivered actionable insights from large data sets, improving business decisions and performance across various industries.
- Automated Data Processes: Streamlined data model maintenance, reducing manual effort by 60% and increasing data accuracy by 90%.
- Data Visualization Expertise: Created impactful visualizations using Tableau and Power BI, enhancing decision-making processes.
- Cloud-Based Data Solutions: Designed a cloud-based data platform that reduced infrastructure costs by 60%.
- Predictive Analytics: Improved predictive accuracy by designing and implementing machine learning pipelines.
- Data Quality Improvements: Cleansed, normalized, and validated data, ensuring high quality and accuracy.
Overview
5
5
years of professional experience
4
4
years of post-secondary education
1
1
Language
Work History
Data Analyst
RBC
05.2022 - Current
- Conducted data analysis and created comprehensive reports to support strategic decision-making within organization
- Developed automated data integration processes, improving data accuracy and reducing manual effort
- Analyzed data sets to identify trends and patterns, providing insights for internal controls and risk management
- Managed data migration processes using AWS and Python, ensuring smooth transition and minimal downtime
- Designed and optimized data pipelines to enhance data processing efficiency and reliability
- Implemented advanced data governance and quality standards, maintaining data integrity and compliance
- Collaborated with cross-functional teams to deliver data-driven solutions, enabling process improvements and operational efficiencies
- Built scalable data models and architectures to support ongoing analytics needs across departments.
- Used statistical methods to analyze data and generate useful business reports.
- Utilized data visualization techniques to present and explain complex data sets.
- Maintained up-to-date knowledge of industry trends and advancements in data analytics, enhancing adaptability of solutions provided.
- Worked with business intelligence software and various reports to glean insights into trends and prospects.
- Trained junior analysts on best practices, improving overall team performance and productivity.
Data Analyst
Cognizant
01.2019 - 03.2022
- Developed data models and used PySpark for advanced data processing, enabling efficient data analysis.
- Utilized Power BI to visualize data from various sources, providing actionable insights to stakeholders.
- Designed and implemented ETL pipelines using Apache Spark code in Python and Glue as ETL service.
- Conducted data cleansing and preprocessing, ensuring high-quality data for analysis.
- Collaborated with business analysts and stakeholders to understand and gather business requirements.
- Worked on data warehousing and cloud technologies such as AWS and Azure for data storage and retrieval.
- Created and maintained dashboards and reports, providing regular data updates and insights to teams.
- Improved data integrity by implementing best practices for data governance and version control.
- Supported team initiatives by providing data-driven insights and recommendations.
- Collaborated with business-unit leaders to identify and prioritize problems.
- Assisted with creating data cubes and OLAP models to improve data analysis.
- Created dashboards to monitor and track key performance indicators.
- Optimized company resources allocation with detailed forecasting models based on historical data analysis.
Education
Bachelor of Technology -
Jawaharlal Nehru Technological University
India 09.2015 - 04.2019
Skills
Excel Functions
SQL and Databases
Tableau Software
Data Analysis
Git
Requirements Analysis
Key Skills And Technologies
Python, SQL, Tableau, Power BI, ETL (SSIS), Azure, AWS, Spark, PySpark, Hive
Timeline
Data Analyst
RBC
05.2022 - Current
Data Analyst
Cognizant
01.2019 - 03.2022
Bachelor of Technology -
Jawaharlal Nehru Technological University
09.2015 - 04.2019