Srija Jasthi

Specializing in data analysis for ScRNA-seq, bulk RNA sequencing, and MERFISH (Spatial profiling technology). Conducted comprehensive analyses to extract valuable insights from genomic datasets.

• Utilized R and Python for data preprocessing, statistical analysis, and data cleaning.
• Worked on Bash scripting and supercomputer clusters for high-performance computing tasks. Managed job scheduling and parallel processing to optimize computational workflows.
• Processed and analyzed large-scale single-cell and bulk RNA sequencing data using supercomputer resources.
• Employed ImageJ for image processing and analysis of intravital microscopy experiments, for image processing and analysis of data.
• Conducted image segmentation, particle tracking, and intensity quantification to analyze thrombosis formation.
• Used Prism for advanced statistical analysis and graphical representation of data.
• Collaborated with cross-functional teams to interpret and present findings.
• Ensured data integrity and reproducibility through meticulous documentation and version control.

Streamlined vendor management, optimizing costs and ensuring reliability. Analyzed data to identify logistical bottlenecks and implemented solutions for enhanced efficiency. Coordinated seamless road freight operations, ensuring timely and cost-effective deliveries.

• Reduced transportation costs by 15% through strategic vendor negotiations.
• Implemented a real-time tracking system to monitor logistics operations.
• Conducted data analysis to forecast demand and optimize inventory levels.
• Developed and maintained dashboards for logistics performance monitoring.
• Implemented data-driven decision-making processes to improve operational efficiency.

Developed and executed a supply chain strategy, reducing transportation costs and minimizing resource wastage. Spearheaded supply chain optimization and inventory management. Contributed significantly to operational efficiency in a fast-paced food startup.

• Achieved a 20% reduction in transportation costs through route optimization.
• Improved inventory turnover by 25% with enhanced inventory management practices.
• Collaborated with suppliers and logistics partners to ensure smooth operations.
• Utilized data analysis to identify inefficiencies and recommend improvements.