As a dedicated Customer Service Representative at Amazon, I thrive on delivering exceptional support to customers while consistently exceeding expectations.

With a solid background in providing top-tier service, I have honed my skills in problem-solving, communication, and relationship-building, ensuring every interaction leaves a positive impact.

My journey at Amazon has provided invaluable insights into customer behavior, preferences, and trends, fueling my passion for data-driven decision-making.

I am adept at leveraging various tools and technologies to analyze customer inquiries, identify patterns, and propose innovative solutions to enhance the overall customer experience.

Driven by a strong analytical mindset and a desire to delve deeper into the world of data, I am eager to transition into a role as a Data Analyst.

I am currently pursuing additional training and certifications in data analysis and visualization to complement my existing skill set.

My goal is to leverage my customer service expertise and analytical prowess to extract meaningful insights from complex datasets, drive strategic decision-making, and contribute to the continued success of the organization.

With a keen eye for detail, a proactive approach to problem-solving, and a commitment to continuous learning, I am well-equipped to thrive in a fast-paced data-driven environment. I am excited about the opportunity to leverage my diverse skill set and passion for data analysis to make a meaningful impact in a dynamic organization like Amazon.

Let's connect to explore how my unique blend of customer service experience and analytical acumen can add value to your team.

Good at spotting random patterns within things and making up abstract conclusions from what I see.

Able to clearly and effectively communicate my findings and insights to both technical and non-technical audiences.

Able to identify problems and develop solutions based on data-driven insights.

Love to collaborate with others and work effectively in a team environment is important.

Proficient in a range of tools and technologies, including programming languages, database management systems, and visualization tools.

Exploratory Data Analysis, Data Exploration, Data Cleaning, Data Visualization and SQL, Excel, Tableau.

Python, SQL, Introductory HTML, Introductory Java.

Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook, VSCode, Microsoft SQL server, MySQL, POstgreSQL

Power BI, Tableau

Exploratory Data Analysis, Handling duplicate and null values.

Portfolio projects are all accumulated and accessed here: Portfolio Projects

Certifications proving the skills are certified can be accessed here.