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Click here or scroll down to respond to this candidateCandidate's Name
Woodbridge VA, Street Address
PHONE NUMBER AVAILABLE - EMAIL AVAILABLEFully Work Authorized, Permanent ResidentOBJECTIVESExperienced Business Intelligence Analyst with 4 years of professional work history. Proficient in providing valuable and actionable data to drive profit growth. Skilled at filtering information to uncover and emphasize vital metrics and insightful findings. Dedicated to supporting business growth through the strategic use of intelligence assets to predict and unveil optimal business strategies.EXPERIENCE HIGHLIGHTS Implemented advanced data visualization techniques using Power Query, Power Pivot, and Power View to effectively communicate key insights to stakeholders. Leveraged Power Query editor to efficiently transform data into an optimal format for analysis. Performed statistical analysis and predictive modeling to identify trends and forecast outcomes, providing actionable insights for informed business decisions. Proficient in data analysis using MS SQL, Power BI, Tableau, and other visualization tools for extracting insights from large datasets. Established and maintained table relationships with Primary and Foreign Keys, proficient in SSIS for data accuracy, consistency, and building enterprise-level integration and transformation solutions. Proficient in Python libraries (Pandas, NumPy, Matplotlib, Scikit-learn, Seaborn) for data cleaning, manipulation, and analysis. Used Pandas for cleaning and exploration, ensuring high data accuracy. Employed Matplotlib and Jupyter Hub for visually appealing data visualizations and interactive plotting. Project management expertise in Agile, Waterfall, and hybrid platforms with PMP certification. Strong organizational and time-management skills, exceptional communication, coordination abilities. Experience in google analytics and google marketing using google marketing tools. TECHNICAL SKILLS Data Analysis and Business Intelligence and Proficient in SQL, Python for data analysis. Expertise in statistical analysis and machine learning for marketing analytics, with Skilled in data visualization using Tableau and Power BI. Competent in customer segmentation strategies with tools like Google Analytics. Proficient in analyzing campaign performance using Google Ads and Facebook Analytics. Experienced in database management, including Oracle and MySQL. Advanced proficiency in Microsoft Excel for in-depth analysis and reporting. Skilled in applying machine learning algorithms to predict customer behavior. Experienced in project management with proficiency in Agile, Hybrid, and Waterfall methodologies. Have Strong technology acumen and a passion for quickly learning new technologies. Ability to work in a professional environment, have excellent communication and presentation skills. Experienced in conducting surveys, collecting data, and generating reports. Able to travel and work remotely, in a hybrid setting, or on-site. language skills in English, German, Urdu, Pashto, and Dari. TOOLS:Power Bi, Tableau, SQL, TSQL,Basic Python MySQL, SQLServer, Oracle SQL Developer,SQL Server, Google Collab,SQL Server Management StudioPandas, NumPy, Matplotlib,Scikit Learn, Ms. Office (Ms.Word, Ms. Excel, Ms. PowerPoint and Ms. Access.EDUCATION:BCS Graduation Year 2011,Afghanistan.BA in journalism, GraduationYear 2007 Afghanistan.CERTIFICATIONS &PROFESSIONALDEVELOPMENT Data Science with QS-Academy (One-goining) Data Analysis andBusiness IntelligenceSyntax Technology. Python for DataAnalysis and BIcertification SQL for Data Analysisand BI Certification Power BI Certification Tableau Certification inData Analysis and BI PMP- Certification Businesscommunication,Fundraising. Cisco CertificateNetworking Association(CCNA) Financial ManagementInformation System[FMIS] from DeloitteWorld Bank PFMR. RBT-40 Hours TrainingCertification. PCR CertificationREFERENCE:(References can be providedper request)PROFESSIONAL EXPERIENCEData Analyst Autism Behavior Therapies January 2024 Present Collect and ensure data accuracy from diverse sources, then preprocess for analysis. Conduct exploratory data analysis to detect patterns and outliers, using statistical techniques. Utilize data visualization tools to present insights and develop models, algorithms, and simulations. Manage databases, ensure integrity, and write optimized SQL queries for data retrieval. Create, update reports, and dashboards, communicating findings clearly to key stakeholders. Data Analyst Air Bnb September 2022 December 2023 Generate Ad-hoc, weekly, and monthly reports using SQL for data manipulation to address diverse stakeholder inquiries. Utilize PowerBI for dynamic dashboards monitoring performance metrics in various business facets. Assess marketing and email campaign effectiveness, optimize strategies based on key performance indicators. Use Python for data analysis, gaining insights into customer behavior and preferences. Lead client retention through tailored discounts and offers to boost loyalty and satisfaction. Establish and enforce data governance policies, ensuring data quality, integrity, and compliance with regulatory standards. Design and implement ETL processes for seamless data flow across systems, ensuring accurate and timely data integration. Conduct in-depth data analysis to derive actionable insights, identify trends, and support data- driven decision-making. Led Scrum, ensuring efficient project delivery through iterative development and fostering adaptability for successful outcomes.Junior Data Analyst Trek Bicycle February 2020 August 2022 Utilize Python for data cleaning, validation, and manipulation to ensure accuracy and reliability of supply chain datasets. Collaborate on identifying and implementing key performance indicators (KPIs) for monitoring various aspects of supply chain performance. Prepare reports on inventory, order fulfillment, and supply chain efficiency using Excel and Tableau. Apply statistical analysis techniques with Python to identify patterns and trends in supply chain processes. Evaluate vendor performance through analysis using Excel, SQL, Tableau, and statistical insights to optimize supplier relationships. Asset Management in Distribution Industry: Implement asset management strategies in the distribution industry, overseeing inventory, tracking assets, and optimizing distribution processes for efficiency. Data Analyst intern Alliance Tek March 2019 January 2020 Assisted in hands-on data analysis, utilizing Oracle SQL for gathering, cleaning, and analyzing large datasets. Applied data wrangling techniques for data accuracy and preparedness, contributing to the development of Tableau dashboards for visualizing key supply chain KPIs. Analyzed historical sales data to identify trends and anomalies, crucial for forecasting demand and optimizing inventory levels. support the agile project team, ensuring efficient iterative development and timely delivery of high-quality software solutions. |
