ABOUT ME

As a seasoned Senior Business Intelligence Analyst, I bring over a decade of expertise in the Microsoft data stack, encompassing SQL Server Database Engine, SSIS, SSAS, and SSRS.
My proficiency lies in the adept transformation of intricate data into actionable insights, steering businesses toward success.

Technical Skills
Data Analytics Technologies: Utilizing Power BI, I craft compelling reports and insights. Programming Languages: Proficient in SQL, Python, and DAX for comprehensive data analysis and strategic decision-making

Collaborative Excellence
My experience extends to both independent and collaborative settings. I possess strong hands-on skills that enable me to thrive whether working autonomously or as an integral part of a team.

Stakeholder Engagement
Effectively collaborating with stakeholders at all levels, I possess a unique ability to comprehend their requirements and translate them into tailored solutions. My commitment goes beyond mere delivery; I go the extra mile to impress stakeholders, ensuring that the value provided consistently surpasses expectations.

Passion for Excellence
Driven by a profound passion for excellence, I am dedicated to understanding and exceeding the needs of stakeholders. My approach involves creatively transforming raw data into meaningful insights and incorporating artistic expression to engage and captivate audiences.

In essence, I am not just an analyst; I am an adept information navigator, navigating the vast sea of data with precision, creativity, and a commitment to delivering exceptional results.

SKIILS

Microsoft SQL Server – Database Design – Database Implementation – Database Security – Database Troubleshooting – Data Warehouse – Data Platform – Data Analysis – Data Warehouse Design Data Visualization – Power BI – Data Wrangling Exploratory Data Analysis – Big Data Analytics – Data Modeling – Data Cleansing – ETL Solutions – SSIS – SSAS – SSRS – SQL Business Intelligence – DAX – MDX – Tabular Data Model – Data Integrity Troubleshoot Queries – Data Mining – Big Data – Statistical Modeling – Data Cloud Computing – Amazon Web Services (AWS) – Restful API – JASON – Agile Project Management – Data Science – Machine Learning – Deep Learning – Python – Pandas – Numpy – Plotly – Seaborn – Streamlit – Tensorflow & Autoencoder – Sklearn – Matplotlib – Natural Language Processing (NLP) – Gradient Descent – Linear Regression – Regularization to Avoid Overfitting – Logistic Regression for Classification – Supervised Learning – Collaborative Filtering – Recommender Systems – Reinforcement Learning – Unsupervised Learning – Decision Trees – Artificial Neural Network – Logistic Regression – Xgboost – Tree Ensembles – Anomaly Detection