ETIM ANTAI

Applied advanced SQL skills, spanning foundational querying to complex joins, subqueries, window functions, and stored procedures, to efficiently extract and manipulate large datasets for analytical and ML workflows.

Developed and evaluated machine learning models using Python (Scikit-learn) within Microsoft Azure Machine Learning Studio, covering the full model lifecycle from data ingestion to deployment.

Studied and implemented deep learning concepts, including neural network architecture, activation functions, forward and backpropagation, and model optimization techniques.

Leveraged Azure cloud fundamentals to understand and manage cloud computing concepts, including scalability, cloud storage, compute resources, and managed ML services on the Azure platform.

Executed Python-based data analysis workflows using Pandas and NumPy for robust data wrangling, transformation, and exploratory data analysis (EDA) on real-world datasets.

Completed structured, project-based learning modules across 6 core tracks: SQL (Beginner to Advanced), Python for Data Analysis, Cloud Fundamentals, Machine Learning, and Deep Learning.

Engineered and deployed 5+ interactive Power BI dashboards to track sales performance, project KPIs, and critical operational metrics, enabling faster, data-driven decisions across departments.

Streamlined reporting workflows by automating processes with Python and SQL, cutting reporting turnaround time by 20% through optimized queries and automation.

Designed and maintained structured relational databases in MySQL and SQL Server, significantly improving data integrity and accessibility for warehouse and operational data management.

Executed end-to-end ETL processes, meticulously extracting, cleaning, and transforming large datasets using Pandas, which effectively reduced data inconsistencies and improved overall data quality.

Partnered proactively with cross-functional teams to translate complex business requirements into robust analytical models and insightful reports, directly supporting strategic planning and execution.

Executed end-to-end data analysis projects utilizing Python, SQL, Power BI, and Excel across multiple business datasets, providing actionable insights for sales, operations, and performance reporting.

Built and published interactive Power BI dashboards, integrating complex DAX measures and data models to effectively surface key performance indicators (KPIs) for stakeholder reporting.

Wrote optimized SQL queries to extract, filter, and aggregate data from relational databases, achieving a significant reduction in manual reporting effort across assigned projects.

Applied Python (Pandas, NumPy, Matplotlib, Seaborn) to clean, transform, and visualize datasets, producing structured analytical reports and exploratory data analysis (EDA) summaries.

Collaborated with program mentors and peers to meticulously review analytical approaches, refine outputs, and ensure high insight accuracy before delivery.

Successfully completed an intensive 9-month government-backed data training program, mastering the full data analysis workflow using Python, SQL, Excel, and Power BI.

Analyzed and visualized diverse real-world datasets, effectively identifying critical trends, patterns, and business-relevant insights using Pandas, Matplotlib, Seaborn, and Power BI.

Developed multiple end-to-end analysis projects, covering data cleaning, exploratory data analysis (EDA), and dashboard development, enhancing practical application skills.

Strengthened proficiency in SQL querying, Excel-based reporting, and Power BI dashboard design through structured project deliverables and rigorous assessments.

Applied advanced data storytelling techniques to clearly communicate complex findings to both technical and non-technical audiences, facilitating better understanding and informed decision-making.

Coordinated the recruitment, onboarding, and training of academic staff, effectively supporting over 200+ students across senior secondary classes.

Delivered comprehensive instruction in Mathematics, Further Mathematics, and Physics, applying data-informed teaching strategies to continuously monitor and improve student outcomes.

Implemented a student performance tracking system that significantly improved internal assessment reporting accuracy and enabled the early identification and intervention for at-risk students.

Supported critical power system operations and maintenance activities, including proficiently reading and interpreting piping and instrumentation diagrams (P&IDs).

Gained practical exposure to complex turbine operations, advanced electrical system monitoring, and stringent safety protocols within a high-voltage industrial environment.