-- Developed custom solutions with Microsoft Power Platform, integrating Power Apps, Power Automate, Power BI, Power Virtual Agents, and Power Pages to meet client strategic goals.-- Delivered a wide array of improvements across client operations, with key focus areas such as enhancing supply chain management, refining cash flow processes, and streamlining operational efficiencies through automation. These efforts were part of a comprehensive strategy to meet and exceed client expectations, demonstrating a commitment to addressing diverse challenges and driving significant business advancements.-- Tools Used: Power Apps, Power Bi, Power Automate, Power Ai, Python, SQL, Dynamics 365

-- Conducted various analyses to inform internal decision-making: utilized Python,performed seasonality and ngram analyses, executed causality analysis, and appliedmachine learning for image recognition in a marketing tool, enhancing productcapabilities.-- Automated and optimized funnel analysis through machine learning, ensuring astreamlined user journey and maximizing conversion rates.-- Developed and maintained multiple dashboards to present key metrics to decisionmakers, shareholders, and clients. Managed data using BigQuery, leveraged GoogleAnalytics for data streaming and insights, and employed LookerStudio for visualization,ensuring stakeholders had access to relevant and timely data.-- Collaborated on a marketing project, designing personas, formulating marketingstrategies, determining optimal channels, and devising effective communicationmethods, underpinned by a thorough literature and business review.-- Tools Used: Python, BigQuery, Google Analytics, LookerStudio.

-- Developed an integrated dashboard using Apache Superset to visualize company anduser data, emphasizing Key Performance Indicators (KPIs) for business insights.-- Constructed a data pipeline using AWS Kinesis, Lambda, and RDS, facilitating efficientdata flow to the dashboard. Adopted Docker for containerization with Postgresql as thedatabase solution.-- Utilized Github for version control, DBeaver for database management, and workedextensively in Python and Kotlin, ensuring effective integration and automation acrossprocesses.-- Tools Used: Docker, Github, AWS Kinesis, Lambda, RDS, Postgresql, DBeaver, ApacheSuperset, Python, Kotlin.