Senior Data Analyst
Lebanese Red Cross
مجموع سنوات الخبرة :4 years, 11 أشهر
Understand Content goals and KPIs and to align reports and insights based on them.
Identify and investigate trends, anomalies and opportunities to improve program’s strategy.
Develop and maintain geospatial data on desktop and mobile applications. Ensure data meets appropriate data accuracy and content standards for quality assurance and quality control.
Produce reports on geographic data utilizing data visualizations.
Supporting in the development and management of GIS applications that are based on growing and improving business demands.
Work closely with cross-functional teams of analysts, partners and project managers to drive changes based on opportunities identified.
Apply my expertise in quantitative analysis, data mining, and the presentation of data to identify opportunities for improvements.
Use multiple data sources to report Content projects insights and impact; support Content tests and experiments.
Encourage and train the program team in best practice use of LRC data, analysis techniques and interpretation.
Run SQL queries and Python data science scripts to build business reports.
Understand IT and Business policies related to analysis and accompanying applications used to generate reports and scorecards
Ability to extract, analyze and link system data (MSSQL, Access, Excel, Cloud) to data visualization tools (e.g., Power BI).
Developing M&E data collection tools, such as post distribution monitoring, baselines, endlines, KAP surveys, knowledge attitudes and practices, along side the PMER team and it was directed to programs; Economic Security, WASH and Shelter.
Manipulate large data sets and use them to identify trends and reach meaningful conclusions to inform strategic business decisions.
Analyze large amounts of information using PowerBI.
Propose solutions and strategies to business challenges.
Process, cleanse, and verify the integrity of data used for analysis.
Undertake preprocessing of structured and unstructured data.
Identify valuable data sources and automate collection processes.
Create Solutions using Survey123 to help the process of data collecting and analyzing the result.
Design data modeling processes to create algorithms and predictive models and perform custom analysis.
Analyze large amounts of information to discover trends and patterns.
Working with tabular models
Identify valuable data sources and automate collection processes
Reporting to the coordinators with Indicator Numbers, and returning the data needed for reporting.
Designing a database for an Information System for the whole mission in Lebanon.
Performance tuning, Query Optimization and Performance monitoring using tool such as pgadmin.
Identify and configure PostgreSQL monitoring utilities/tools.
Studied Machine Learning, Statistics and Data visualization using R, python and Power BI Worked with various Projects that includes prediction models and analyzing Big Data. Time Series Analysis: Used Time series model to predict the number of Missions done by the Lebanese Red Cross across Lebanon. Tools: RStudio Logistic Regression: (Liver Cancer) Descriptive Analysis LR to predict the impact of certain variables on others. Tools: RStudio Statistical Analysis for Cancer Dataset: Descriptive Analysis. Hypothesis Testing. Masters Thesis: Ambulance Response Time Prediction Model; The Prediction model will be done to analyze and improve Ambulances' response time. Tools to be used: ArcGIS, Python, PowerBI, RStudio, MSSQL
Learned Database, several Programing Languages such as: C#, C++, Java, Python, HTML, CSS, JS Worked with Database management systems Created web apps, mobile apps Thesis involved Mobile Application for the Lebanon Mountain Trail Association