Jul 23

Data analyst

1. Collaborated with stakeholders to gather and document business requirements, ensuring clear communication and understanding of project objectives. 2. Created Interactive Dashboards for the Large Datasets 3. Utilise Python Programming to showcase skills like Data Analysis and Manipulation using Pandas, Numpy, Matplotlib, Seaborn, Scikit learn. 4. During this role gain expertise in valuable experiences such as hands-on learning, exposure to real-world tasks, networking opportunities, mentorship, and a chance to apply academic knowledge in a professional setting. These experiences enhance practical skills.

Oct 23 - Nov 23

Data analyst

1. Applied statistical methods, utilizing tools like Excel and Python, to analyze diverse datasets. 2. Developed Proficiency in data visualization, creating compelling charts and dashboards using Tableau.

Nov 23 - Dec 23

Data analyst

1. Utilized data analysis and visualization tools to present findings and insights to management, aiding in data-driven decision-making. 2. Engaged in continuous learning, staying updated on industry trends and emerging technologies

No v 23 - Dec 23

Data analyst

1. Conducted in-depth analysis of business processes and systems, identifying areas for optimization. 2. Worked on some of the large Datasets and came with the strong business outcomes to showcase my problem solving skills and proposing innovative solutions.

Dec 23 - Jan 24

Data analyst

1. Managed and queried databases with a focus on SQL for data extraction and analysis. 2. Developed a solid understanding of data cleaning and preprocessing techniques 3.Communicated complex findings effectively through reports and presentations.