Highly motivated and detail-oriented Data Analyst with a robust background in biotechnology and advanced certifications in data analytics from IBM. Proficient in leveraging data-driven insights to inform strategic decisions, enhance operational efficiency, and solve complex business challenges. Skilled in SQL, Power BI, Python, Cognos, and Excel with hands-on experience in data visualization, statistical analysis, and predictive modeling. Adept at collaborating with stakeholders to deliver actionable insights, ensuring alignment with organizational goals.
• Analyzed biological datasets, extracting actionable insights that contributed to a 25% increase in the accuracy of predictive models for drug development.
• Developed automated pipelines for sequence alignment, reducing processing time by 30% and increasing throughput.
• Presented research outcomes to stakeholders, resulting in the adoption of new data processing techniques that improved overall research productivity by 10%.
LinkedIn App Sentiment Anlaysis:
• Conducted sentiment analysis on 10,000+ LinkedIn app reviews using Python’s NLP libraries, identifying user feedback trends that led to actionable improvements in app features.
• Created data visualizations that highlighted the top 3 most requested features, contributing to a 20% improvement in user satisfaction ratings.