Poongodi Ramadoss

Poongodi Ramadoss

At a glance

Skills

  • Digital and IT strategy
  • Data analysis

Where

Based in London, London (East)
I would prefer to volunteer mainly at home, or will consider remote opportunities from across the UK.

Time

Either in or out of office hours

Weekdays - 9:30 AM - 2:30 PM 

Causes

  • Any

Type of role

Short term project, Ongoing role, Trustee/Governor

Work history

About me

My interest is in exploring data analyst roles. As someone with a background in software testing and a recent Master's degree in Data Analytics from Queen Mary University of London, I am eager to apply my skills and knowledge in a data-driven role.

With over four years of experience gained at prominent consulting companies like Infosys Technologies Limited and Cognizant Technologies in India, I have developed a strong foundation in analytical thinking, attention to detail, and problem-solving. My academic journey has further enriched my capabilities, as I completed my Master's with a Merit grade.

My proficiency extends to Python, R, SQL, Excel, and data visualization tools, including SAS Viya, Tableau, and Power BI. Additionally, I'm actively pursuing an AWS Certified Cloud Practitioner (CLF-02) certification and have a solid understanding of cloud technologies, including AWS. I also have knowledge of Snowflake, a cloud-based data warehousing platform. These technical skills and my analytical acumen make me a well-prepared candidate for data analyst positions.

I am enthusiastic about the opportunity to discuss potential openings and how I might contribute to the teams. I look forward to the possibility of connecting and exploring how my background aligns with the organization's data-related needs.

What am I looking for

As a dedicated Data Analyst with a Master of Science in Data Analytics and a background in quality analysis, I am seeking a challenging Data Analyst role to apply my analytical expertise and drive data-driven excellence. Proficient in Python, R, data visualization, and statistical analysis, I am well-equipped to contribute to data-centric projects and bring actionable insights to the forefront.