MAZHAR KAMAAL

I’m a Data Analyst with a B.Sc. in Biotechnology and a domain specialization in life sciences data, combining wet-lab research context with strong technical analytics skills. I enjoy turning complex biochemical and biomedical datasets into clear, decision-ready outputs that stakeholders can act on confidently.

During my Research Internship in the Metabolic Research Department, I conducted metabolic research activities including data collection, sample analysis, and interpretation of biochemical results. I also contributed to a systems biology study on protein interaction networks using NCBI, COSMIC, and TCGA data sources, applying Python and SQL to query, process, and visualize metabolic datasets.

I’m especially effective at reducing friction in analytics work—automating data cleaning and generating reproducible reports. In one workstream, I used Python (Pandas, Matplotlib) and SQL to reduce manual reporting time by 30%, and I supported 2+ internal research workflows by streamlining repeatable analysis steps.

Alongside research, I build practical analytics products and dashboards: a Power BI Sales Analysis Dashboard for 10 lakh+ records (with DAX KPI cards and ETL via SQL/Power Query) that reduced data prep time by ~40%, plus Python + SQL EDA for influenza surveillance across 125 countries where I identified key seasonal patterns and risk clusters. I’m now seeking full-time data analytics, healthcare analytics, or bioinformatics roles where my life sciences domain knowledge strengthens the impact of my analytics.