Anu Sharma

Project: Advanced Material Analysis & Data Management for Sustainability Research
Role: Scientific Research Intern

Tools: Python (Pandas, NumPy), Power BI, MS Excel

• Collected, cleaned, and managed large experimental datasets from NTA, DLS, UV-Vis, and Fluorescence Spectrophotometers.
• Automated data preprocessing and analysis using Python (Pandas, NumPy) and created trend reports via Matplotlib and Power BI.
• Structured and maintained data files (CSV, Excel) ensuring data integrity and accessibility.
• Collaborated with interdisciplinary teams to streamline data workflows, reducing processing time by 20%.
• Documented data handling protocols and contributed to technical reporting for stakeholders.

Project: Process Data Analysis & Optimization in Bioactive Extraction
Role: Research Intern

Tools: Python (Pandas, NumPy), MS Excel

• Managed and analyzed process data from extraction techniques (solvent extraction, SCFE, membrane filtration).
• Automated data cleaning, trend analysis, and reporting using Python and Excel.
• Created visual reports for process optimization; ensured GMP/GLP data integrity.
• Streamlined data workflows with process and analytical teams.

• Conducted microalgae cultivation to optimize growth parameters and carbon capture efficiency.
• Assisted in kinetic analysis and modeling of Chlorella vulgaris for CO₂ sequestration.
• Utilized spectroscopic and gravimetric methods to monitor biomass effectively.
• Ensured compliance with lab protocols and environmental safety standards.
• Collaborated on projects aimed at enhancing biofixation efficiency for sustainable carbon mitigation.
• Interpreted data and contributed to computational models of sequestration kinetics.