Software Business Analyst . Agu 203 -  present at Ma3snoft

As a software business analyst, I specialize in bridging the gap between business stakeholders and technical teams to ensure the successful delivery of software solutions. With expertise in requirements gathering, functional specification development, and agile methodology, I am skilled in facilitating communication and collaboration throughout the software development life cycle (SDLC).

Software Business Analyst   • May 2023 - Present at Wapel Software 

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  • Product Requirements · Class Diagrams · Data-flow Diagrams · Use Case Diagrams · Problem Solving · Attention to Detail · Communication · Task Management · Presentations · Database Design · Unified Modeling Language (UML) · Use Cases · Non-Functional Requirements · ERD · Systems Analysis · Software Development Life Cycle (SDLC) · Software Requirements · Business Requirements · Project Management · Analytical Skills · Microsoft Office · Data Modeling · SQL · Microsoft Excel · English · Software System Analysis · DatabasesProduct Requirements · Class Diagrams · Data-flow Diagrams · Use Case Diagrams · Problem Solving · Attention to Detail · Communication · Task Management · Presentations · Database Design · Unified Modeling Language (UML) · Use Cases · Non-Functional Requirements · ERD · Systems Analysis · Software Development Life Cycle (SDLC) · Software Requirements · Business Requirements · Project Management · Analytical Skills · Microsoft Office · Data Modeling · SQL · Microsoft Excel · English · Software System Analysis · Databases.
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  • Skills: Requirements Gathering · Test Cases · Software Testing · Systems Analysis · Business Analysis · Software Development

Data Science & Business Analytics Intern  • Mar 2023 - Apr 2023 at The Spark Foundation 

The Graduate Rotational Internship Program (GRIP) is the flagship program of TSF in which students, recent graduates, and professionals focus on technical skills development.

The program offers a platform to connect with students and professionals from varied diversity, backgrounds, skills, and countries. GRIP is a 1-month, unpaid, and virtual internship. It is open to students and professionals from all expertise levels and backgrounds. The tasks are beginner as well as advanced levels, and you can select which one you want to work on.

Job Description:
Write codes to collect, crunch and analyze data from internal and external sources
Build machine and tune learning models using R, Python, and or any language/tool you are comfortable with
Using BI tools such as Tableau, and Power BI to analyze data, and find important patterns. 

Entry-Level Data Analytics •October 2021 - July 2022 at Coursera | Google

 Internship Trainee   •  December 2020 - July June 2021 at  ITEDA

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  • Data Analysis, Nanodegree Data wrangling, exploring, analyzing, and communicating data. Work with data in Python, using libraries like Pandas. Learning how to apply inferential statistics and probability to real-world scenarios, such as analyzing A/B tests and building supervised learning models.
    
    Data Collection - Data Cleaning - Data Process - Data Visualization - Business - Communication.Data Analysis, Nanodegree Data wrangling, exploring, analyzing, and communicating data. Work with data in Python, using libraries like Pandas. Learning how to apply inferential statistics and probability to real-world scenarios, such as analyzing A/B tests and building supervised learning models. Data Collection - Data Cleaning - Data Process - Data Visualization - Business - Communication.Data Analysis, Nanodegree Data wrangling, exploring, analyzing, and communicating data. Work with data in Python, using libraries like Pandas. Learning how to apply inferential statistics and probability to real-world scenarios, such as analyzing A/B tests and building supervised learning models. Data Collection - Data Cleaning - Data Process - Data Visualization - Business - Communication.Data Analysis, Nanodegree Data wrangling, exploring, analyzing, and communicating data. Work with data in Python, using libraries like Pandas. 
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  • Skills: Tableau · Python (Programming Language) · SQL · Analytical Skills · Statistical Data Analysis

Carbon-Dioxide-Emission-of-Cars

Implement a simple linear regression to a dataset related to fuel consumption and carbon dioxide emissions from cars. Create a model using a training set, evaluate a model using a test set, and finally use a model to predict an unknown value.

Marketing-Campaign-Case-Study Data-Analysis

Identifying different types of campaigns works better for specific clusters of customers. Marketing Campaign - The goal of that analysis is to identify or choose the best types of campaigns that work better for specific clusters of customers.

Data analysis Project - Weather Dataset   

I used Python and Excel, to make some predictions statistics, and insights from the data, first loading data from the .csv file and making it clean, then using Python to analyze using pandas, Matplotlib, and other packages.