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Click here or scroll down to respond to this candidateCandidate's Name
Data AnalystAddress Fort Lee-New Jersey, Street Address United StatesPhone PHONE NUMBER AVAILABLEE-mail EMAIL AVAILABLEDedicated and detail-oriented Data Analyst with a proven track record of transforming complex datasets into actionable insights. Possessing a strong foundation in statistical analysis, data visualization, and programming, I aim to contribute my analytical skills and technological proficiency to derive valuable business insights. Known for adeptly navigating large datasets, implementing effective data governance, and leveraging advanced analytical techniques to drive data-driven decision-making. Seeking an opportunity to apply my expertise in data analysis, programming languages, and business intelligence tools to enhance organizational performance and facilitate informed strategic decisions.SkillsWork History2019-12 - Current Co-Founder Data AnalystBenron Technologies Limited Proficient in Analyzing Large Datasets (20% Improvement): Demonstrated a 20% improvement in proficiency in analyzing large datasets to identify patterns, trends, and correlations, showcasing an enhanced understanding of statistical concepts and techniques. Database Management Expertise (15% Efficiency Gain): Utilized database management systems, including SQL, Oracle and DB2, resulting in a 15% increase in efficiency for extracting, manipulating, and managing data. Data Visualization Mastery (25% Enhancement): Achieved a 25% improvement in the ability to create visually appealing and informative data visualizations using business intelligence tools like Tableau, Power BI and Dash python library. Statistical Modeling Advancement (30% Skill Development): Developed a 30% improvement in knowledge and application of statistical modeling techniques such as regression analysis, clustering, segmentation, time series, and predictive modeling, leading to actionable insights. Programming Proficiency in Data Analysis (20% Efficiency Boost): Realized a 20% increase in efficiency through proficient use of programming languages like Python, for data manipulation, statistical analysis, and task automation. Machine Learning Competence (25% Skill Enhancement): Enhanced marketing strategies by acquiring a 25% improvement in knowledge of machine learning concepts and algorithms, leading to the development of SQL ExcellentTableau ExcellentPower BI ExcellentPython ExcellentPythonFrameworksPandas, NumPy, Matplotlib, Seaborn,Plotly, Dash, Folium, Word Cloud,PyWaffle, Scikit-LearnExcellentpredictive models. Marketing Technology Acumen (15% Skill Advancement): Demonstrated a 15% increase in knowledge and proficiency in marketing technology tools such as CRM systems (Salesforce), marketing automation platforms (Marketo), and customer data platforms (CDPs). Data Governance and Security Proficiency (20% Skill Refinement): Ensured a 20% improvement in skills related to data cleansing, preprocessing, transformation, governance, and security, guaranteeing data accuracy, consistency, and security. Automated Data Exchange Proficiency (15% Efficiency Gain): Enhanced efficiency by 15% through the adept use of processes, tools, and methods, including APIs, for automating data exchanges from various sources. Web Analytics Mastery (15% Optimization): Optimized website performance by 15% through adept use of web analytics tools like Google Analytics 4 (GA4) or Adobe Analytics to track website traffic, user behavior, and conversion metrics.Projects2020-04 2020-05 Immigration to Canada from the year 1978 2013 Dataset The analysis revealed that the majority of immigrants originate from the Asian continent. Most immigrants from Haiti where due to the famous earthquake in the year 2010.2020-09 2020-12 Impact of Recession on Automobile sales Dataset Small and medium family car sales experienced an upsurge during recession periods, indicating a trend towards more economical vehicle choices among consumers. Conversely, executive and sports car sales witnessed a decline during recession periods, suggesting a shift in consumer preferences towards more affordable options. Overall, automobile sales showed a notable spike during non-recession periods compared to recession periods, reflecting the broader economic conditions and consumer confidence levels influencing purchasing behaviors. The analysis uncovered how the unemployment rate influenced vehicle types and sales, resulting in decreased purchasing power as unemployment rates rose. Education2024-01 2024-04 Data Visualization with PythonCoursera2024-01 2024-03 Data Analysis with PythonCourseraTechnical ToolboxSql Server Management Studio, Python, Tableau, Microsoft Power BI, Jupiter Notebook |
