Skilled data scientist and Business Intelligence reporting officer with six years of professional experience in the financial area with a data science master's degree. Professional reputation for resolving problems, eager to contribute to team success through hard work, attention to detail, and excellent organizational, technical, and analytical skills. In previous roles, I worked on gathering, cleaning and analyzing data. created prediction and classification models and evaluate them, in addition to work as a team member/ team leader. Seeking for a full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.
- build, improve and maintain dashboards for business use
- creating plan for machine learning models for the bank
- negotiate vendors to buy machine learning platform
- preparing RFP
- working on creating ATM cash prediction & customer segmentation machine learning models.
- collaborating with the data engineering team to apply ETL and get the needed data.
- Document OCR: build services that extract data from PDF invoices using tools such as OpenCV, Tesseract, etc. This is done by: applying the needed image preprocessing techniques such as extra area cropping, rotation correction, and de-noising. Apply extracting methods such as table identifier, key similarity, building templates, and data storing. Creating a logging model shows every step that happened in the full-service pipeline
- working on training ChatGPT to write domain-specific queries or correct existing ones to help the management have the needed work insights using their natural language without writing the code or extracting with the database.
- Extract, preprocess and analyze fertility wearable device data to extract main insights from data and highlight the data quality issues that need to be corrected or enhanced to build a machine learning model that can predict the ovulation day. Then, apply feature engineering and prediction model for the fertility day
- Cost analysis tasks : work with database (in OHDSI CDM format) and extract data related to insurance healthcare records (conditions, procedures, and measurements ) and their related cost based on specific business requirements.
- Building disease specific prediction model to provide an early diagnosis of the disease based on patients historical data and common medical concepts.
- Coordinate the financial analysis team and followup the team work
- Financial Analysis acting manager
- Create high level presentations and reports
- Create risk assessment plans based on the monthly financial report and the justification provided form the company directorates
- Evaluate products and services performance after launching and the feasibility of the proposed projects/ investments
- Create correction plans regarding the financial performance if needed
- Identify, measured and recommended improvement strategies for KPIs across business areas to achieve the management goals
- Participate in achieving Treasury Department goals by applying automation for needed processes and create high level dashboards for Loans, Cash, Guarantees and Stocks.
BI Reporting:
Analysis :
Built a data warehouse for Municipality collection department by preparing and analyzing data that comes from different sources, cleaning it and doing some preprocess tasks to insure that data is ready for Nablus Municipality to evaluate current situation according to objectives . This project was applied using Microsoft Sql Server 2008 R2 that provides services including Integration Services( SSIS), Reporting Services and Analysis Services. Analysis Services includes a group of OLAP and data mining .
Python
undefinedFinancial analysis Department Head- Mais.Salameh@paltel.ps
Senior ERP Specialist- Hamzeh.zayuod@paltel.ps