Business Analyst Power Bi

Abdullah Amberkhani

Kent - OH *****, 330-***-****, ********************@*****.***

SUMMARY

Dynamic Business Analyst with a background in data analysis, predictive modelling, and visualization. Over a year of experience in transforming complex data into actionable insights using SQL, Power BI, and Python. Skilled in working with healthcare and operational datasets, developing reports, and building interactive dashboards. Proficient in collaborating with cross-functional teams to drive business strategies and streamline operations. Passionate about leveraging analytical skills to support data-driven decision-making in fast-paced industries.

EXPERIENCE

Business Analyst at Hampton Inn Kent Dec2023 - April 2025

• Analysed data to enhance hotel efficiency

• Developed reports for staffing, budgeting, and guest experience

• Automated performance reports and tracked KPIs using Excel and Power BI

• Worked with GM to drive business strategies

• Oversaw projects to streamline front desk, inventory, and labour operations.

Software Engineer at HubStream May 2023 - Aug 2023

• Developed data pipelines and back-end solutions.

Built RESTful APIs and optimized real-time data processing. Designed scalable and efficient database structures.

• Implemented security protocols to protect sensitive information. • Collaborated with cross-functional teams to ensure seamless integration of software components.

Data Science Intern at IBM July 2022 - Dec 2022

-Developed predictive models for patient stay length using healthcare datasets.

• Applied IBM Cognos Analytics for data exploration and optimization of hospital resource allocation.

• Built interactive dashboards and visual reports for administrative decision-making support.

• Conducted data cleaning and preprocessing on complex datasets for accuracy.

• Collaborated with data engineers and clinical teams to align analytics projects with operational goals.

Education

Kent state university May 2025

Master of Science Data science

Anna university May 2023

Bachelor of Engineering Computer Science

Projects

Crypto Price Prediction: Developed a 95% accurate LSTM-GRU model for forecasting cryptocurrency prices using TensorFlow and Python.

- Built and validated deep learning models to forecast price trends in volatile crypto markets.

- Used Python and Keras to preprocess data and visualize predictions.

Healthcare Analytics: Built predictive models to forecast patient length of stay using IBM Cognos and Power BI.

- Analyzed patient admission and discharge patterns to identify inefficiencies and bottlenecks.

- Statistical summaries and interactive dashboards delivered using Python and Power BI.

Facial Emotion Recognition: Developed a CNN-based system with 66. 67% precision using the FER-2013 dataset.

- Trained CNN models to classify facial emotions in real time.

- Implemented using Python, OpenCV, and TensorFlow.

Skills

Languages & tools: Python, Excel, Power BI, Tableau, IBM Cognos, SQL, Snowflake (basic), Azure (basic), ETL workflows, ArcGIS

Other Skills: Data Cleaning, Statistical Analysis, Predictive Modeling, Machine Learning

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