Kainat Akbar

I’m a results-driven Data Analyst with 3+ years of experience designing SQL-driven solutions, automating reporting workflows, and translating complex business requirements into data-driven insights. I’m expert in query optimization, ETL processes, and building dashboards that make performance and trends easy to act on.

At JobLogic, I optimized SQL scripts for extraction and insertion, cutting query execution time by 35% and supporting the seamless migration of 500K+ customer records. I automated data validation with Python, eliminating 20+ manual hours per week and improving accuracy. I also designed Power BI dashboards and Stimulsoft reports, reducing manual reporting time by 40%.

At Ibex, I performed in-depth analysis on large datasets using Excel, SQL, Python, and R to support key business decisions. I built and maintained Excel and Power BI dashboards for real-time tracking, and I automated extraction and transformation with Python to reduce manual processing from 2 days to 8 hours (75% improvement). I also developed NLP models using Python and R for sentiment analysis to identify trends that informed product strategy and feature prioritization.

Earlier, as a Survey/Research Associate, I designed and managed 12+ surveys using SurveyCTO, ensuring data accuracy and integrity. I processed and cleaned survey data in Stata, produced weekly reports, and trained data collection teams to improve data quality and collection efficiency by 25%—all with a strong focus on dependable, high-quality inputs.