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.
<p>Underwent 8 weeks of specialization training to empower my skills in Data Analytics.<br>
Acquired hands-on experience in Data Analysis, Visualization, and Interpretation by completing numerous projects.<br>
Mastered technical tools such as Excel, MySQL, Tableau, Power BI, and Python, utilizing them to derive actionable insights for data-driven decision-making.<br>
Prepared presentations to effectively communicate data insights to non-technical stakeholders.</p>
<p>Recorded and monitored daily financial transactions for 10 branches, identifying and preventing fraudulent activities.<br>
Managed Account Payables and Receivables, maintaining accurate records and reconciling accounts.<br>
Collected and verified third-party confirmations, ensuring transaction integrity.<br>
Prepared detailed individual and consolidated Profit and Loss Statements on a monthly basis, ensuring accuracy and timeliness.<br>
Developed and implemented Excel macro-enabled templates to automate routine tasks.<br>
Prepared and presented monthly performance reports to stakeholders, effectively communicating the key findings.</p>
• 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.
<p>Gained hands-on experience in Web Scrapping, Data Wrangling, and Visualization using Python.<br>
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.<br>
Employed Statistical Analysis and visualization techniques to uncover anomalies and high-risk transactions.</p>
• 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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