About Me
Experienced Data Analyst proficient in SDLC methodologies, Agile/Scrum, and Waterfall frameworks. Skilled in gathering and validating diverse datasets, utilizing advanced SQL querying techniques for valuable insights. Co…
Experienced Data Analyst proficient in SDLC methodologies, Agile/Scrum, and Waterfall frameworks. Skilled in gathering and validating diverse datasets, utilizing advanced SQL querying techniques for valuable insights. Conducts comprehensive exploratory data analysis and implements data modeling techniques to uncover patterns. Proficient in data visualization using Tableau and Power BI, effectively communicating insights. Demonstrated success in meeting project objectives and driving data-driven decision-making processes. Eager to leverage my expertise in business intelligence and data analytics for organizational success.
Experience
Data Analyst
• Leveraged communication platform Slack for seamless team collaboration and reporting, ensuring effective communication channels were maintained throughout projects.
• Employed a variety of methodologies including Software Development Life Cycle (SDLC), Agile/Scrum, and Waterfall to streamline project workflows and ensure efficient project execution from conception to delivery.
• Gathered, validated, and meticulously maintained diverse datasets, encompassing business and digital marketing data, to ensure accuracy, completeness, and relevance for analysis purposes.
• Utilized advanced SQL querying techniques to perform Extract, Transform, Load (ETL) processes, extracting valuable insights from raw data in real-world projects.
• Applied analytical skills such as cost/benefit analysis, cash flow analysis, impact analysis, GAP analysis, risk analysis, SWOT analysis, and strategic analysis to interpret data and derive actionable insights for business decision-making.
• Conducted comprehensive exploratory data analysis (EDA) to uncover patterns, trends, and anomalies within datasets, leading to the identification of valuable insights that informed strategic business decisions.
• Cleansed and pre-processed raw data using advanced data cleansing techniques, ensuring data integrity and enhancing its usability for analysis purposes.
• Standardized data formats and structures to comply with established guidelines, facilitating efficient data management and ensuring consistency across datasets.
• Documented data processes and procedures for future reference, utilizing tools such as Google Sheets for meticulous data entries and documentation.
• Managed and organized databases effectively to ensure efficient data storage, retrieval, and accessibility for stakeholders across the organization.
• Leveraged relational databases such as SQL Microsoft Server, SQL Server, PostgreSQL, and DB2, as well as NoSQL database MongoDB, to store and manipulate large volumes of structured and unstructured data.
• Developed and implemented data modelling techniques to structure data effectively, facilitating data analysis and visualization processes.
• Designed and prepared data visualizations and dashboards using visualization tools such as Tableau and Power BI, presenting key insights and findings to stakeholders in a clear and compelling manner.
• Generated regular reports containing key data metrics and insights, providing my manager with valuable information to support data-driven d
Data Analyst
Leveraged communication platform Slack for seamless team collaboration and reporting, ensuring effective communication channels were maintained throughout projects.
Employed a variety of methodologies including Software Development Life Cycle (SDLC), Agile/Scrum, and Waterfall to streamline project workflows and ensure efficient project execution from conception to delivery.
Gathered, validated, and meticulously maintained diverse datasets, encompassing business and digital marketing data, to ensure accuracy, completeness, and relevance for analysis purposes.
Utilized advanced SQL querying techniques to perform Extract, Transform, Load (ETL) processes, extracting valuable insights from raw data in real-world projects.
Applied analytical skills such as cost/benefit analysis, cash flow analysis, impact analysis, GAP analysis, risk analysis, SWOT analysis, and strategic analysis to interpret data and derive actionable insights for business decision-making.
Conducted comprehensive exploratory data analysis (EDA) to uncover patterns, trends, and anomalies within datasets, leading to the identification of valuable insights that informed strategic business decisions.
Cleansed and pre-processed raw data using advanced data cleansing techniques, ensuring data integrity and enhancing its usability for analysis purposes.
Standardized data formats and structures to comply with established guidelines, facilitating efficient data management and ensuring consistency across datasets.
Documented data processes and procedures for future reference, utilizing tools such as Google Sheets for meticulous data entries and documentation.
Managed and organized databases effectively to ensure efficient data storage, retrieval, and accessibility for stakeholders across the organization.
Leveraged relational databases such as SQL Microsoft Server, SQL Server, PostgreSQL, and DB2, as well as NoSQL database MongoDB, to store and manipulate large volumes of structured and unstructured data.
Developed and implemented data modelling techniques to structure data effectively, facilitating data analysis and visualization processes.
Designed and prepared data visualizations and dashboards using visualization tools such as Tableau and Power BI, presenting key insights and findings to stakeholders in a clear and compelling manner.
Generated regular reports containing key data metrics and insights, providing my manager with valuable information to support data-driven decision-making processes.
Assisted with various tasks as assigned by manager, including search engine optimization (SEO) initiatives, and conducting research on other topics to gather relevant data for analysis purposes.
Data Transcriptionist
Efficiently transcribed audio recordings into written text data, demonstrating exceptional attention to detail and accuracy to ensure the integrity of the transcribed content.
Upheld high standards of quality control, meticulously reviewing, and editing transcribed data to maintain accuracy and consistency in accordance with project requirements and company standards.
Maintained a high level of productivity and met daily transcription targets, demonstrating strong time management and organizational skills to effectively prioritize tasks and deliver results within tight deadlines.
Conducted thorough research on terminologies to identify and clarify unfamiliar terms, ensuring accuracy and completeness in transcribed content and enhancing overall quality and comprehensibility.
Demonstrated advanced comprehension skills to accurately capture the context and meaning of spoken words, effectively translating verbal communication into written text while preserving the intended message.
Collaborated with team members to address project or audio errors, facilitating open communication and proactive problem-solving to resolve issues and ensure project success.
Engaged in continuous learning initiatives to stay updated on emerging technology, industry trends, and transcription guidelines, demonstrating a commitment to professional development and enhancing skills and knowledge.
Adhered to strict confidentiality and security protocols, particularly when transcribing sensitive or private information, ensuring compliance with privacy regulations, and maintaining the confidentiality of client data.