Resume

Experience

2024-Present

Produced interactive dashboards in Power BI, delivering insights for clients and internal departments, which increased data-driven decision-making efficiency by 25%.
Executed data pulls in a Snowflake environment, enabling faster data access for finance, marketing, and risk teams, resulting in a 30% reduction in report generation time.
Assisted in the development of the annual budget, enhancing analysis of current and forecasting for the next financial year, leading to a 15% improvement in budget accuracy.
Demonstrated quality assurance, and debugging complex SQL queries for optimization, saving 10% processing time.

2022-2023

Collected information from UB Libraries' weekly survey report and employed Power Query Editor to cleanse data, producing pertinent insights for weekly activity strategizing.
Utilized Integrated Library System (ILS) to fulfil student requests through efficient book scanning, software system management, and streamlined book lending processes.
Assisted to an average of 1000 patrons daily, offering reference support to librarians and directions as needed.
Collaborated with a team of 5 colleagues to coordinate and host weekly library activities, fostering a positive and engaging environment.

2021-2022

Developed Power BI visual reports from the ground up, utilizing advanced functions and table expertise, optimizing joins, sub-queries, and data blending processes, resulting in a 30% reduction in manual workload.
Coordinated with clients to define KPIs and revamped reports, resulting in a 15% increase in key metric accuracy.
Extracted data from diverse sources and crafted visually appealing, optimized dashboards customized to meet specific requirements, facilitating 20% quicker comprehension for stakeholders.
Conducted rigorous data quality checks, leading to a 25% improvement in data accuracy.
Ensured all customer requirements were accomplished with 90% precision along with maintaining documentations.

2020-2021

Built multiple Power BI dashboards to visualize data related to bill generation, sales, revenue, issue resolution, and warehousing, leading to a 15% improvement in overall comprehension within the company.
Forecasted sales and revenue trends over the past six years, providing crucial insights for strategic decision-making.
Integrated data from diverse sources into PostgreSQL and implemented a thorough data cleaning process using SQL queries and Python, resulting in a 20% reduction in data processing time.
Attended regular training sessions with employees on Power BI usage, contributing to a 30% increase in user proficiency.