Result-driven professional with a Bachelor of Commerce degree and 1.5+ years of experience as an Account Executive at retail sector. Google Data Analytics Professional Certification holder, skilled in data manipulation, …
Result-driven professional with a Bachelor of Commerce degree and 1.5+ years of experience as an Account Executive at retail sector. Google Data Analytics Professional Certification holder, skilled in data manipulation, visualization, and interpretation. Seeking an entry-level data analytics position to leverage my skills and transition from accounting into a data-driven career.
Underwent 8 weeks of specialization training to empower my skills in Data Analytics.
Acquired hands-on experience in Data Analysis, Visualization, and Interpretation by completing numerous projects.
Mastered technical tools such as Excel, MySQL, Tableau, Power BI, and Python, utilizing them to derive actionable insights for data-driven decision-making.
Prepared presentations to effectively communicate data insights to non-technical stakeholders.
Recorded and monitored daily financial transactions for 10 branches, identifying and preventing fraudulent activities.
Managed Account Payables and Receivables, maintaining accurate records and reconciling accounts.
Collected and verified third-party confirmations, ensuring transaction integrity.
Prepared detailed individual and consolidated Profit and Loss Statements on a monthly basis, ensuring accuracy and timeliness.
Developed and implemented Excel macro-enabled templates to automate routine tasks.
Prepared and presented monthly performance reports to stakeholders, effectively communicating the key findings.
• Underwent 8 weeks of specialization training to empower my skills in Data Analytics.
• Acquired hands-on experience in Data Analysis, Visualization, and Interpretation.
• Applied data analysis skills using tools like MySQL, Python, Tableau, and Excel to complete multiple projects.
Gained hands-on experience in Web Scrapping, Data Wrangling, and Visualization using Python.
Completed two web scrapping projects and conducted exploratory data analysis on a credit transaction dataset to identify potential fraud patterns using Pandas, NumPy, Matplotlib, and Seaborn.
Employed Statistical Analysis and visualization techniques to uncover anomalies and high-risk transactions.
• Gained hands-on experience in Web Scrapping, Data Wrangling, and Visualization using Python.
• Completed two web scrapping projects and conducted exploratory data analysis on a credit transaction dataset to identify potential fraud patterns using Pandas, NumPy, Matplotlib, and Seaborn.
• Employed Statistical Analysis and visualization techniques to uncover anomalies and high-risk transactions.
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