Data Manager, Data Analyst, and Digital Marketing Specialist

Using Canva helps me develop a variety of graphic designing skills. Canva provides pre-designed templates and a drag-and-drop interface, which helps you understand the basics of arranging elements on a canvas. Canva allows you to create templates and use consistent branding elements like logos, colors, and fonts. Learning to maintain a consistent brand identity across various designs is a valuable skill for professional graphic design.

Proficient in gathering and collecting data from various sources, such as databases, spreadsheets, APIs, and more. Preprocess and clean raw data to remove inconsistencies, errors, and missing values. Visualizing data effectively to communicate insights clearly to non-technical stakeholders. And analyze results in the context of the business or problem at hand.

Proficient in using various social media platforms, and how to create and optimize profiles, post content, engage with users, and use platform-specific features effectively.

I am skilled in conducting A/B tests to optimize email campaigns, and proficient in using email marketing metrics effectively.

Proficient in identifying relevant keywords and phrases that your target audience uses to search for products or services. Also, proficient in developing content strategies, create relevant and valuable content, and optimize it for both users and search engines. Optimize website speed, improve mobile responsiveness, create XML sitemaps, implement schema markup, and enhance overall website performance to make it easier for search engines to crawl and index your site.

Gained the ability to research and identify relevant keywords that potential customers might use when searching for products or services. Learned how to create well-structured and compelling ad campaigns using platforms like Google Ads. And learned how to use audience targeting options to reach specific demographics, interests, behaviors, and locations, ensuring your ads are shown to the right people.

Proficient in navigating the Google Analytics user interface, understanding its various sections, and accessing key data and reports. Set up Google Analytics accounts, properties, and views to track different websites and apps accurately. Familiar with key performance indicators (KPIs) like sessions, pageviews, bounce rate, conversion rate, average session duration, and more. Learn to segment and analyze website and app visitors by various attributes, such as demographics, location, devices, and user behavior. Analyzing data trends, identifying opportunities, and making data-driven decisions to optimize website and app performance.

Learn how to perform keyword research to identify relevant keywords that potential customers might use to find products or services like yours. Create effective and engaging ads using compelling copywriting and visual elements, while adhering to best practices for each ad format. Learn how to structure your ad campaigns, including organizing them into ad groups, setting budgets, and determining targeting criteria. Able to leverage audience targeting features to reach the right people with your ads, such as demographics, interests, behaviors, and remarketing.

Learned how to create PivotTables to quickly summarize data and PivotCharts to visualize them. Sort data in ascending or descending order and how to apply filters to focus on specific subsets of data. Used excel for forecasting, optimization, and scenario analysis. Learned to set up data validation rules to restrict the type of data that can be entered in specific cells. And introduced to the concept of Excel macros and basic automation.

Learned how to create PivotTables to quickly summarize data and PivotCharts to visualize them. Sort data in ascending or descending order and how to apply filters to focus on specific subsets of data. Used excel for forecasting, optimization, and scenario analysis. Learned to set up data validation rules to restrict the type of data that can be entered in specific cells. And introduced to the concept of Excel macros and basic automation.

Learn about SQL syntax, data types, operators, and how to write queries to retrieve, manipulate, and manage data. Defining tables, specifying data types, setting up relationships between tables, and ensuring data integrity through constraints. Creating and using views to simplify complex queries and creating stored procedures to encapsulate logic for repetitive tasks. Learn about securing your SQL Server databases through user authentication, authorization, and best practices for ensuring data privacy.