Holding Company Organisationals Structure – Bringing Together Disparate Companies, Which Can Be Useful

You are welcome to my profiles ………………. Best regards Eng. Khalid Albeshri, # Contact Information and Profiles - Gmail | k.a.albeshri@gmail.com - Tel | +966-50-991-8999 - LinkedIn | https://lnkd.in/dX9birdv - Facebook | https://lnkd.in/dfY-KpcJ - Twitter | https://lnkd.in/d-BvJfx7 - Instagram | https://lnkd.in/dKeFDrub - Tumblr | https://lnkd.in/dgMFr6Ec - WhatsApp | http://wa.me/966509918999 # Memberships - Global Skill Development Council (GSDC) - International Council of Shopping Centers (ICSC) - National Society of Professional Engineers (NSPE) - Urban Land Institute (ULI) - Affiliate Member to (CCIM) Institution - Saudi Council of Engineers (SCE) - Accreditation Board for Engineering and Technology (ABET) # Headlines - Rich Experience in Portfolio Management - Wide Professional Network - Extreme Ability to Strategically Plan for a Corporate - Effective Teams Builder - Passionate, Confident, and Visionary Leader #KhalidAlbeshri #pivot #Holdingcompany #CEO #Realestate #realestatedevelopment #middleeast #gulfcountries #groups #businessminded #businessquotes #businesssuccess  #businessman #businesstip #businessideas #womeninbusiness #businessmarketing #businessconsulting #businesspassion #PMP #projectmanagement #business #entrepreneurship #Innovation #Management #HumanResources #DigitalMarketing #Technology #Creativity #Future #Futurism #Entrepreneurship #Careers #Markets #Startups #Marketing #SocialMedia #VentureCapital #SocialNetworking #LeanStartups #Economy #Economics #branding #advertisingandmarketing #motivation #personaldevelopment #investing #jobinterviews #money #bankingindustry #sustainability #alternativeenergy #personalbranding #hiringandpromotion #healthcare #education #customerrelations #productivity #whatinspiresme #bestadvice #bigdata #travel #gettingthingsdone #businessintelligence #softwareengineering #programing #analytics #softwaredesign #datamining #data #socialentrepreneurs #sales #fundraising #law #lawandlegislation #legalissues #strategy #culture #userexperience #fashion #cloudcomputing #mobileapplications #consultants #productmanagement #business #networking #leadership #artificialintelligence #hiring #health #engineering #mindfulness #jobsearch #jobseekers #africa #deeplearning #smallbusiness #workingathome #recruiting #inspiration #job #datascience  #contentmarketing #research #success #ai #storytelling #computerscience #python #entrepreneur #fintech #onlineadvertising #selfhelp #neuralnetworks #partnerships #jobopening #cloud #homeoffice #openings #automation #socialmedia #ULI #CCIM #SIOR #NAIOP #ICSC #CREW #NMHC #IEEE #NSPE #IEC #EO #YEC #SEA #APEE #USASBE #ASHOKA #TEC #SEA #businessopportunity #businesslife #strategy #businesses #growth #businessmentor #businessmotivation #entrepreneurs #creditrepair #coaching #businessplanning #networking #businessonline #consulting #contentmarketing #businessmanagement #businessconsultants #businessstartup #marketingtips #خالدالبشري

New Murabba Case Study: Urban Transformation in Riyadh

Overview: The New Murabba Project, led by Saudi Arabia's Public Investment Fund (PIF), is a key part of Vision 2030, transforming Riyadh into a world-leading city with a massive modern downtown.

Key Components:

Mukaab Landmark:

Design: A 400-meter cube structure housing a museum, university, theatre, and over 80 entertainment venues.

Urban Planning:

Development: 104,000 residential units, 9,000 hotel rooms, and 980,000 square meters of retail space.

Green Spaces: A 3.2 million square meter park.

Transportation: Integrated public transport network.

Sustainability and Innovation:

Energy Efficiency: Sustainable building practices and energy-efficient technologies.

Smart City Features: Implementation of smart infrastructure.

Public–Private Partnerships (PPPs): The project highlights the role of PPPs in

urban transformation:

Investment and Funding:

Public Investment Fund: Primary investor attracting private sector investments.

Collaboration with International Firms:

Design and Construction: Partnerships with global firms for world-class standards.

Technology: Integrating smart city solutions.

Economic Impact:

Job Creation: Significant job opportunities during construction and ongoing operations.

Tourism and Commerce: Boosting the local economy and Riyadh's global standing.

Challenges:

- Project Management: Ensuring timely completion with robust management.

- Sustainability: Balancing urbanization with environmental impact.

- Community Engagement: Involving local communities and stakeholders.

Conclusion: The New Murabba Project exemplifies the power of PPPs in urban development, integrating cultural, commercial, and residential elements with sustainability and technology to create a vibrant, future-ready urban center in Riyadh.

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How to a company's increase operating profits?

Increasing a company's operating profits can be achieved through several strategies focused on boosting revenue and controlling costs.

1. Increase Revenue

- Expand Sales Channels: Use online platforms, retail, wholesale, and partnerships.

- Enhance Marketing: Implement targeted campaigns via digital marketing, social media, and SEO.

- Diversify Offerings: Introduce complementary products or services.

- Improve Customer Service: Ensure high-quality service to encourage repeat business.

- Optimize Pricing: Find a balance between competitive pricing and profit margins.

2. Control Costs

- Reduce Operating Expenses: Cut unnecessary spending and negotiate better supplier terms.

- Optimize Inventory: Implement just-in-time practices to reduce holding costs.

- Increase Efficiency: Invest in technology and streamline operations with automation and lean management.

- Outsource Non-Core Functions: Reduce overhead by outsourcing.

3. Improve Profit Margins

- Increase Efficiency: Enhance processes to reduce waste and improve productivity.

- Enhance Product Quality: Focus on quality to reduce returns and increase customer satisfaction.

- Negotiate with Suppliers: Get better terms for materials and services.

4. Financial Management

- Manage Debt: Ensure interest payments don’t erode profits; consider refinancing high-interest debt.

- Manage Cash Flow: Effectively manage receivables and payables to maintain healthy cash flow.

5. Employee Productivity

- Invest in Training: Provide continuous training to boost efficiency.

- Offer Incentives: Align employee goals with company performance through bonuses and profit-sharing.

6. Innovation and R&D

- Invest in R&D: Innovate to stay competitive and command higher prices.

- Adopt New Technologies: Use the latest tech to streamline operations and reduce costs.

7. Strategic Partnerships

- Form Alliances: Partner with other businesses to access new markets and share resources.

- Enter Joint Ventures: Share risks and capitalize on new opportunities through joint ventures.

Regularly review financials, monitor KPIs, and stay agile to adapt to market changes for sustained profit growth.

Organizational culture is the collection of values, expectations, and practices that guide and inform the actions of all team members.

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A $65,000 PRICE REDUCTIONS on his spectacular Ft Myers Beach Lot.

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How to use TOPSIS method for making decisions

- Define the Decision Problem: Clearly define the decision problem and identify the criteria that will be used to evaluate the alternatives.

- Identify Alternatives: List the alternatives that you want to evaluate in the decision-making process.

- Assign Weights to Criteria: Assign weights to each criterion based on their relative importance in the decision-making process. Ensure that the weights sum up to

- Collect Data and Construct Decision Matrix: Collect data for each alternative with respect to each criterion. Construct a decision matrix where rows represent alternatives, and columns represent criteria.

- Normalize the Decision Matrix: Normalize the decision matrix by dividing each element by the square root of the sum of the squares of the elements in the corresponding column.

- Weight the Normalized Decision Matrix: Multiply each element in the normalized decision matrix by its corresponding weight to get the weighted normalized decision matrix.

- Determine the Ideal and Anti-Ideal Solutions: Identify the ideal and anti-ideal solutions for each criterion. For benefit criteria, the ideal solution is the maximum value, and the anti-ideal solution is the minimum value. For cost criteria, it's the opposite.

- Calculate Separation Measures: Calculate the Euclidean distance between each alternative and both the ideal and anti-ideal solutions. This results in two separation measures: one from the ideal solution and one from the anti-ideal solution.

- Calculate Relative Closeness: Determine the relative closeness for each alternative by calculating the ratio of the separation from the anti-ideal solution to the sum of the separations from both the ideal and anti-ideal solutions.

- Rank the Alternatives: Rank the alternatives based on their relative closeness values. The alternative with the highest relative closeness is considered the most preferred.

- Make the Decision: The alternative with the highest rank is the recommended choice.

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Social media marketing (SMM) is a form of internet marketing that uses social media apps as a marketing tool. These social media platforms enable brands to connect with their audience to: build a brand; increase sales; drive traffic to a website.

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Five pillars of real estate development

1. Site Selection and Acquisition: The foundation of any real estate development project lies in the careful selection and acquisition of the right piece of land. Developers assess factors such as location, accessibility, zoning regulations, and market demand to determine the viability of a site.

2. Financial Feasibility: Before proceeding with a project, developers conduct thorough financial analyses to ensure its economic viability. This involves assessing construction costs, estimating potential revenue, and evaluating the return on investment. Financial feasibility studies guide decision-making and help secure financing.

3. Effective Project Management: Successful real estate development requires effective project management throughout every phase, from design and construction to marketing and sales. This pillar encompasses coordinating various stakeholders, managing timelines, and addressing unexpected challenges to ensure the project stays on track and within budget.

4. Compliance with Regulations: Real estate developers must navigate a complex web of regulations, including zoning laws, building codes, and environmental regulations. Adhering to these regulations is crucial for obtaining necessary permits and approvals, mitigating legal risks, and ensuring the project aligns with local planning guidelines.

5. Market Analysis and Demand: Understanding the market and anticipating demand are essential pillars of real estate development. Developers analyze current market trends, demographic data, and consumer preferences to design and deliver projects that meet the needs of the target audience. This pillar involves staying attuned to market fluctuations and adapting strategies accordingly.

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These are popular applications in real estate industry

Zillow: A widely used platform for buying, selling, and renting properties. It provides a vast database of real estate listings, home values, and neighborhood information.

Realtor.com: Similar to Zillow, Realtor.com is another major platform for real estate listings, property details, and market trends.

Redfin: A real estate brokerage that combines online technology with traditional agent services. It offers a map-based search and provides insights into home values and market trends.

Trulia: Owned by Zillow Group, Trulia focuses on providing information about neighborhoods, schools, and amenities in addition to real estate listings.

LoopNet: A commercial real estate marketplace connecting buyers, sellers, and tenants in the commercial property sector.

Matterport: Known for its 3D virtual tour technology, Matterport enables real estate professionals to create immersive and interactive property walkthroughs.

Dotloop: An online platform for real estate transactions, Dotloop facilitates electronic signatures on documents and collaboration between agents, clients, and other stakeholders.

RentCafe: This platform offers tools for property managers and landlords to manage rental properties, including online rent payments and tenant communication.

DocuSign: Widely used for electronic signatures, DocuSign is a key tool in the real estate industry for streamlining document workflows and transactions.

Buildout: A marketing software for commercial real estate professionals, helping them create and publish property listings and manage their marketing efforts.

#KhalidAlbeshri #pivot #Holdingcompany #CEO #Realestate #realestatedevelopment #middleeast #gulfcountries #contentmarketing #businessmanagement #businessconsultants #businessstartup #marketingtips #خالدالبشري

Top 10 Data Science Project Ideas For Beginners - 2021

If you are an aspiring data scientist, then it is mandatory to involve in live projects to hone up your skills. These projects will help you to brush up your knowledge on knowledge and skills and boost up your career path. Now, if you write about those live projects on your resume, then there is a very good chance that you land up with your dream job on data science. But to be a top-notch data science engineer, it is essential to work on various projects. For this, it is important to know the best project ideas which you can leverage further on your CV.

Start Working on Live Projects to Build your Data Science Career

To get a sound idea for data science projects, you should be more concerned about it rather than it’s implementation. Because of this, we have come up with the best ideas for you. Here we have enlisted the top 10 project ideas that can shape your future in the world of data science. But to begin such programs or live projects, you need to have a good understanding of Python and R languages.

1. Credit Card Fraud Detection Mechanism

This project requires knowledge of ML and R programming. This project mainly deals with various algorithms that you can get familiar with once you start doing your applied machine learning course. These algorithms mainly cover Logistic Regression, Artificial Neural Networks, Gradient Boosting Classifiers, etc. From the record of the Credit Card transactions, you can surely be able to differentiate between fraudulent and genuine data. After that, you can draw various models and use the performance curve to understand the behavior.

This project involves the Credit Card transaction datasets that give a pure blend of fraudulent as well as non-fraudulent transactions. It implements the machine learning algorithm using which you can easily detect the fraudulent transaction. Also, you will understand how to utilize the machine learning algorithm for classification.

2. Customer Segmentation :

It is another such intriguing data science project where you need to use your machine learning skills. This is basically an application of unsupervised learning where you need to use clustering to find out the targeted user base. Customers are segregated on the basis of various human traits such as age, gender, interests, and habit. Implementation of K-means clustering will help to visualize gender as well as different age distribution. Also, it helps to analyze annual income and spending ideas.

Here the companies deal with segregating various groups of people on the basis of the behavior. If you work on the project, you will understand K means clustering. It is one of the best methods to know the clustering of the unlabeled datasets. Through this platform, companies get a clear understanding of the customers and what are their basic requirements. In this project, you need to work with the data that correlates with the economic scenario, geographical boundaries, demographics, as well as behavioral aspects.

3. Movie Recommendation System : 

This data science project can be rewarding since it uses R language to build a movie recommendation system with machine learning. The Recommendation system will help the user with suggestions and there will be a filtering process using which you can determine the preference of the user and the kind of thing they browse. Suppose there are two persons A and B and they both like C and D movies. This message will automatically get reflected. Also, this will engage the customers to a considerable extent.

It gives the user various suggestions on the basis of the browsing history and various preferences. There are basically two kinds of recommendation available-content based and collaborative recommendation. This project revolves around the collaborative filtering recommendation methodology. It tells you on the basis of the browsing history of various people.

4. Fake News : 

It is very difficult to find out how an article might deceive you mostly for social media users. So, is it possible to build a prototype to find out the credibility of particular news? This is a major question but thanks to the data science professionals of some of the major universities to answer the problem.  They begin with the major focus of the fake news of clickbait. In order to build a classifier, they extracted data from the news that is published on Opensource. It is used to preprocess articles for the content-based work with the help of national language processing. The team came up with a unique machine learning model to segregate news articles and build a web application to work as the front end.

The main objective is to set up a machine learning model that provides you with the correct news since there is much fake news available on social media. You can use TfidfVectorizer and Passive-Aggressive classifier to prepare a top-notch model. TF frequency tells the number of times a particular word is displayed in the document. Inverse Document Frequency tells you the significance of a word on the basis of which it is available on several contents. Therefore, it is important to know how it works.

A TfidfVectorizer helps in analyzing a gamut of documents.

After analyzing, it makes a TF-IDF matrix.

A passive-aggressive Classifier tells you whether the classification outcome is viable. However, it changes if the outcome swings in the opposite direction.

Now, you can build a machine learning model if you have such good project ideas.

5. Color Detection :

It might have happened that you don’t remember the name of the color even after seeing a particular object. There is an ample number of colors that are totally based on the RGB color values but you can hardly remember any. Therefore, this data science project will deal with the building of an interactive app that will find the chosen color from the available options. In order to enable this, there should be a detailed level of data for all the available colors. This will help you to find out which color will work for the selected range of color values.

In this project, you will require Python. You will utilize this language in creating an application that will tell you the name of the color. For this, there is a data file that comes with color names and values. Then it will be utilized to evaluate the distance from each color and find out the shortest one. Colors are segregated into red, green, and blue. Now the PC will analyze the range of the colors varying from 0 to 255. There are a plethora of colors available and in the dataset, you need to align each color value with the corresponding names. It requires a dataset that comprises RGB values as per the names.  

6. Driver Drowsiness Detection :

In order to perform training and test data, researchers have come up with a Drowsiness Test which uses the Real Life Drowsiness dataset in order to detect the multi-stage drowsiness. The objective is to find out the extreme and discernible cases related to drowsiness using data science Skill. However, it permits the system to find out the softer signals of drowsiness. After that, comes the feature extraction which needs developing a classification model.

Since overnight driving is really a difficult task and leads to varied problems, the driver gets drowsy and feels quite sleepy while driving. This project helps to detect the time when the driver gets lazy and falls asleep. It produces an alarming sound as soon as it detects it. It implements a unique deep learning model to determine whether the driver is awake or not. This comes with a parameter to find out how long we stay awake. If the score is raised above the threshold value, then the alarm rings up. Now, you can easily be able to get the related dataset and Source Code.

7. Gender and Age Detection : 

This is basically a computer vision and machine learning project that implements convolutional neural networks or CNN. The main objective is to find out the gender and age of a person using a single image of the face. In this data science project, you can segregate gender as male or female. After that, you can classify the age on the basis of various ranges like 0-2, 4-6, 15-20, and many more. Because of different factors such as makeup, lighting, etc, it is very difficult to recognize gender and age forms a particular image. Due to this, the project implements a classification model instead of regression.

For the purpose of face detection, you will require a .pb file since this is a protobuf file. It is capable of holding the graph definition and the trained weights of the model. A .pb file is used to hold the protobuf in a binary format. However, the .pbtxt extension is used to hold this in the text format. In order to detect the gender, the .prototxt file is used to find out the network configuration. The .caffemodel file is used here to denote the internal states of various parameters.

8. Prediction Of The Forest Fire : 

Both forests, as well as the wildfire, ignites a state of emergency and health disasters in modern times. These disasters can hamper the ecosystem and this can cause too much money. Also, a huge infrastructure is required to deal with such issues. Therefore, using the K-means clustering you can easily be able to detect the forest fire hotspots and the disastrous effect of this nature’s fury. With this, it can cause faster resource allocation and the quick response. The meteorological data can be used to determine the seasons during the forest fires that are more frequent. Also, you can determine the weather conditions and climatic change that can reduce them and bring sustainable weather.

9. Effect of Climate Change on Global Food Supply :

Climatic change seems to affect various parts of the world. As a result, people residing in those areas are also under the wrath of such climatic change. The project mainly deals with the impact the climatic change is having and its effect on the entire food production. Main motive of the project is to determine the adverse effect of the climate on the production of crops. The project ideas mainly revolve around the impact of temperature and the rainfall along with the diversified cause of carbon dioxide on the growth of the plants. This project mainly focuses on the various data visualization techniques and different data comparisons will be drawn to find out the yield in various regions.

10. Chatbot-Best After the Data Science Online Training :

This is one of the famous projects done by the most aspiring data science professionals. It plays an important role in the business. They are used to give better services with very little manpower. In this project, you will see the deep learning techniques to talk with customers and can implement those using Python. There are basically two types of chatbots available. One deals with the domain which is used to solve a particular issue and the other one is an open domain chatbot. The second one you can use to ask various types of questions. Due to this, it requires a lot of data to store.

“ Upskill Yourself Through Online Data Science Courses and Become a Professional ”

The projects discussed in this technical article covers all the major Data Science projects which you need to do if you are a budding data science professional. But before that, you need to have a good grasp on various programming languages like Python and R. If you do the data science online tutorials, then these projects will be a cakewalk for you. Remember, one thing these small steps will make the large blocks so that you can rule the world of data science.. So, go ahead and participate in these live projects to gain relevant experience and confidence.