data analyst
My Equation
Total years of experience :0 years, 7 Months
• Analyzed large sets of data, resulting in a 20% increase in
efficiency and productivity.
• Executed tasks effectively and efficiently, resulting in a 15% increase in departmental productivity.
• Constructed numerous data visualizations for statistical
analysis and discovered meaningful data insights.
• Provided support to senior data analysts, resulting in a
positive impact on the company's overall performance.
• Led the development of an interactive dashboard that
provided critical business insights to stakeholders, resulting
in a 15% increase in decision-making accuracy.
• Developed and maintained automated scripts to extract,
transform, and load data from various sources, resulting in
a 50% reduction in manual data entry efforts.
• Developed efficient predictive algorithms to forecast trends and patterns, which uncovered 10% revenue growth.
• Applied a proactive problem-solving approach to anticipate potential issues before their occurrence.
• Spearheaded the implementation of a new predictive data
analytics platform, leading to a greater efficiency in data
analysis and time savings by 15%.
• Conducted data analysis for a client and identified key
insights that led to a 10% increase in their sales.
• Developed Key Performance Indicators KPI and presented it to the management and let to the execution plan.
PROJECTS- 1. LOAN ELIGIBILITY PREDICTIONS • Developed a predictive model using machine learning techniques to determine loan approval probability, leveraging income, credit score, and employment data; achieved an 82% accuracy rate in classifying loan applicants. 2. SALES ANALYSIS • Utilizing Python, this project tackles real-world sales analysis tasks, providing actionable insights to address diverse business queries. Leveraging robust data science techniques, it delivers concise solutions to enhance decision-making processes. 3. SALES DASHBOARD • Created interactive dashboard to track and analyze online sales data using Microsoft Power BI. 4. SECUREBANKX • Teamed up with three colleagues to successfully develop SECUREBANKX, a sophisticated desktop application using JavaFX. Played a key role in designing and implementing an intuitive, user-friendly graphical interface, elevating the application's overall accessibility and user experience. • Executed a project utilizing JDBC for seamless interaction with a backend database, prioritizing data integrity and confidentiality. • Implemented robust security measures, including a multi-layered login system incorporating card number, PIN, and email authentication to enhance overall system security. 5. FAKE NEWS DETECTION • Fake news is a false information and hoaxes spread through social media and other online media to achieve a political agenda. • In this data science project concept, Python is employed to construct a model capable of accurately detecting the authenticity of news articles, distinguishing between real and fake information with an accuracy of 80%.
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