Mitali Gupta

I’m a Level 7 Data Analyst with 2+ years of experience across software engineering and analysis. I specialise in building automated data pipelines and analytical workflows using Python and SQL, with a track record of reducing manual effort by up to 80%.

At SkedTech, I’ve been working as an AI & Data Engineer, where I developed a B2B AI-powered timetable scheduling platform and reduced manual scheduling time by 90%. I also engineered a full payroll integration system that automatically calculates employee working hours, improving accuracy and saving 90% administrative effort—while overseeing architecture, development, and live deployment end-to-end.

Previously, as a Data Analyst at the School of Biosciences (University of Sheffield), I analysed alumni employment outcomes and built interactive Power BI dashboards to support curriculum decisions. Using SQL and Python, I improved data accessibility and reduced processing time by 80%, and I strengthened data quality/confidentiality by implementing validation checks that reduced data errors by 90%.

Earlier at Synopsys (R&D Team), I built automated data processing pipelines and designed analytical workflows to monitor engineering metrics, cutting manual effort by 80% and improving efficiency by 90%. I’m also deeply interested in large language model evaluation and machine learning—evidenced by my projects evaluating Mistral 7B/13B with zero-shot methods and pruning, plus hands-on work with ETL, NLP, and text processing.