Csv Research Solutions ltd

In the recent technology world, there has been a lot of incubation for AI and data science from schools and online learning platforms, there has also been a lot of unemployed graduates who are potential great minds. We at Csv research solutions ltd want to bridge the gap by offering free training in data collection and manipulation tools for students and even graduates, regardless of age, gender, religious background, and race. Examples of these data tools are Python, R, SQL, ODK, cs pro, tableau, and power BI. They will be a registration threshold exam with basic statistic questions to get the trainable students onboard. We will then organize challenges that have quarter-finals, semi-finals, and finals to compete for a grand prize. This will motivate the students to give their best as there is a reward.  The winners will then be absorbed into tech companies solving the employment problem.

We are working on ensuring digital inclusion in Africa regardless of age, gender, religious background, or race. According to https://www.statista.com/, Nigeria, Kenya, and Libya have the highest internet penetration in Africa at  96.1percent, 85.2  percent, and 84.2 percent share of internet users in Africa. Also according to https://www.alueducation.com/, 45 percent of university graduates in Africa are jobless. In Nigeria, 23.1 percent of people with undergraduate degrees are unemployed. It takes a university graduate at least five years to get secure a job in Tanzania and Kenya. Six in Tunisia. This can mainly be attributed to the mismatch between the knowledge students gain in university and the skills that companies are looking for. The falling quality of education in universities due to schools admitting more students than they have teachers for also accounts for this. There are 50 percent more students to a lecturer in sub-Saharan Africa than the global average. According to Olfa Fdhila, more than half of African universities’ graduates lack employability skills, technical mastery, and basic work-related capabilities.

The solution is anchored on offering innovation and learning by experience. The learning techniques that we will use aim to give satisfactory results by evaluating solutions from real-world AI and data science problems from companies, organizations, and governments. Through highly skilled and experienced trainers, partnerships with tech companies, and the use of the most relevant AI technologies like python and R, we aim at constantly equipping students with the right knowledge and skills that companies are looking for and also solving companies' data and AI challenges. To motivate the students we offer free training and also grand prizes for best solutions to company AI challenges.

The number of data analysts, business analysts, programmers, and data science enthusiasts on the job searching market is alarming. In a survey to enroll people for a free data science course that was deployed on LinkedIn, within 5 days, 114 applications had registered and ready to learn. This shows that the number of people willing to learn and potentially great minds is high. Our target population is people with a statistics-related background, regardless of age, current occupation, or race, since they are will be easier to grasp AI and data science concepts that are grounded on a statistics foundation.

The current organizations offering data science challenges only reshuffle winners, with a very low uptake for newcomers, the skill of developing prediction models and computer vision algorithms should be better taught to others for the digital economy to expand and development of new technologies to scale quickly. 

We have been offering data science training through surveys and in the surveys, we ask engagement questions like how much people would like to pay and why this amount, what degrees they have what jobs they currently hold. Surprisingly, 80% of the people who filled the survey would like not to pay because of mostly lack of funds, no employment or they were students. From the survey also 60% of people who had degrees were in occupations that had nothing to do with what they studied.

This solution will build the capacity of the potentially great AI and data science minds by offering training and further getting the best of these minds to solve some of the challenging tasks in the digital market.

We are working on ensuring digital inclusion in Africa regardless of age, gender, religious background, or race. This is mainly attributed to the mismatch between the knowledge students gain in university and the skills that companies are looking for.  Through highly skilled and experienced trainers and partnerships with tech companies, we aim at constantly equipping students from a statistics-related background with the right knowledge and skills that will AI companies are looking for. We the best solutions to companies through these students who we motivate with grand prizes and awards.

CSV research solutions limited is a registered company in Kenya with the main aim of offering training on the use of tools for AI and data science, understanding business problems, and offering the best quality data solutions, predictive models, or applications to aid in solving these business problems. We already have three experienced full-time dedicated trainers. We have also developed online application forms, course content, course WhatsApp groups, and brochures for the courses. The brochures and links to the forms have been deployed to our company's Linkedin, Twitter, Facebook, and website pages for enrolment to begin. We have already trained over 200 students in R, Python, and web development with no institutional capital, that is why we regard our venture as being in the prototype stage.

The solution provides for more access to data science and programming skills to those who do not have access to it. Most data science and programming lessons are out of reach for most African households. CSV Research Solutions is working towards bridging this gap by taking these lessons to the grassroots. Our innovation seeks to reduce the level of unemployment in Africa by exposing the youth with data science skills hence allowing them to be self employed. Additionally, CSV Research Solutions aims to build capacity in companies, organizations and governments to improve the data science and AI skills for its staff hence enabling more accurate predictions for evidence based decision making, reduction of operating costs and increase in overall productivity.  

Currently, the solution is serving 200 people. Within a year, we expect to serve atleast 1,000 people. In five years, we expect that number to climb fourfold to 20,000 people.

One of the indicators is reducing inequalities. In most African countries, the research and programming world is mostly male-dominated, additionally, persons living with disabilities are also marginalized in this regard. We at CSV seek to give equal chances to these two marginalized groups and empower them through rigorous training. The training will equip them with the necessary skills to compete in the field. CSV Research Solutions also measures the impact of its success through the number of learners who transition from training to the tech industry. This is in line with goal four on quality education. We also seek to foster innovation in industries by empowering our learners to think outside the box and be critical thinkers while developing solutions. 

Three full-time staff.

The team has three full-time trainers. Victor has a background in statistics, he has been involved in AI and data science training for more than 5 years, he has been involved in consultations in regards to business understanding, AI integration, and development of web-based applications. He has participated in data science competitions Kaggle and Zindi. Collins has a background in statistics. He has 5 years of experience in developing data collection tools for censuses and surveys. He has experience in developing data analysis models. Solomon has a background in Statistics. He has 5 years in the development of financial reports and data visualization using Power Bi and Tableau. The team has experienced trainers who have an education level up to the master's level. We have been in the data and AI industries for more than 5 years. We have a vast combination of knowledge in multiple AI tools like- data collection, machine learning, deep learning, data visualization, and business understanding. We have offered training to more than 200 students in website development, data collection tools like Cspro, machine learning, and data science tools like R and Python.

CSV Research Solutions is aimed at providing data science services for the understanding of data while at the same time shielding businesses from unforeseen future shortcomings using AI. We embrace diversity and empower everyone regardless of age, gender, religious background, and race to learn and do their best in data science and AI.

CSV research solutions limited is applying to receive funding in grants and investments, including through the prizes from solving challenges. We are also applying to join the class of impressive peers who may act as a trusted support group, offering inspiration and guidance in regards to the development of our "Learn to challenge pipeline" project. We are also very excited to join a powerful network of impact-minded leaders across industries and sectors. We hope that through the mentorship, coaching, and strategic advice from experts at Solve and MIT we can be able to overcome barriers of marketing, AI education quality standards verification, and recruitment that we currently face. We also want to gain exposure in social media and conferences so that we encourage students to onboard the learn to challenge platform.

We need partnership and support in getting the best human capital. Currently, we are three experienced trainers. Our intention is to identify the most experienced people in AI and data science to assist us in the training and delivering motivational talks to the students. We also need support in convincing people who have won global AI challenges to offer mentorship and guidance regarding best practices for using the AI tools. 

Since we aim at solving real-world problems, we need to get companies, organizations, and governments to open up to their business problems. We need support in pitching to tech companies to share with us their business problem design and data requirements. 

In regards to the enrollment of students, the major challenge we have experienced as a start-up is that our social media (Facebook, Instagram, Twitter, Linkedin, and Youtube do not have a large following, yet. We need support in developing a marketing strategy so as we can attract the right people with a statistics-related background to apply to the regular training that we will offer.  

Since we will be dealing with lots of African-based people for a start, we will be needing computer hardware and internet equipment every time we have physical conferences and workshops. We need support in acquiring some laptops, data warehouse hardware, and visual aid tools to facilitate this project.

1. HP - Hp would be an exciting partner towards acquiring some laptops, data warehouse hardware, and visual aid tools to facilitate the project so that we can train people on AI and data science tools. 

2. The Patrick J. McGovern Foundation -  We would be glad to have the Patrick J. McGovern Foundation on board to accelerate the process by providing facilitation since we offer training in AI, data science, and machine learning tools.

3. Code nation - We intend to reach out and partner with code nation, a program bringing tuition-free computer programming courses to underserved high schools in tech hubs. To expand our initiative in Africa we would be glad to partner with a more experienced company to catalyze the learning part to African countries and worldwide.

4. Peripheral vision international - Since we have a goal of scaling into most African countries in the next 5 years, we would be glad to partner with peripheral vision international in giving educational access to learners in their own language.

5. Apli - Since we have a target of linking skills to tech industries, Apli would be a great partner in regards to outlining specific industry-specific needs and want kind of skills they need.

6. Century tech - We need partnership on AI-powered platforms that personalizes education and improves learning outcomes for our curriculum to be robust.

7. Moringa school - Having capacity in staff who can teach digital skills can be interesting having moringa school as a partner.

Our solution ensures that a highly professional curriculum for AI, data science, and machine learning is developed that is accepted worldwide as the standard. We also aim at utilizing project-based learning by providing learns with real-life data practice from partner industries. The main purpose for this is to familiarize the learner with real-life on-the-job experience that they will encounter after the training. However, to deliver on this we need highly skilled, well informed, and experienced teachers to guide the learners

The investment from American Student Assistance® (ASA) will be used to develop a standard AI, machine learning, and data science curriculum that will be used globally to determine specific rules, regulations, and content to specific genres of tech-industry-based incubation systems. Currently, there is no harmony in set out curriculums for AI, machine learning, and data science.

We will use the investments to pitch to industries that will give us their business challenges and data so that we can utilize this for project-based learning. Our model advocates for learners to solve real-world problems in the final assessment from the training.

Finally, we are aimed at having the best professional teacher from data science, AI, and machine learning. We will invest in building teacher's capacity with the latest trends and development in their fields of specializations.

Our model is designed to ensure digital inclusion regardless of age, gender, religious background, or race. We will be enrolling students in cohorts quarterly. We aim at training 5,000 learners within 1 year. Since our start is in Africa, where refugee camps are many, we intend to spend the investments in creating awareness, educating the communities on the importance of AI, data science, and machine learning, identifying the best talents, and ultimately enrolling refugees into the learn to challenge pipeline. 

We qualify for the HP prize because we offer solutions that advance digital inclusion, digital literacy, and economic opportunity in communities in Africa. Our main objective is to offer learners specific digital skills that will make them complete a competitive challenge and in turn get into the technology job market with ease. 

The investment from HP would be of importance towards acquiring laptops, tablets, phones, data warehouse hardware, and visual aid tools. This will help to facilitate the project so that we can train people on AI and data science tools in African countries. 

We qualify for the innovation for women prize because our main target is to offer to improve the quality of life for learners regardless of age, gender, religious background, or race. By providing the women with technology-focused projects and digital skills they have a very high chance of breaking the glass ceiling by getting their voices heard in machine learning conferences. Women who will learn AI, data science, and machine learning will have the chance to develop software and technology that better includes them in the society and job market.

Our major focus is to offer training in AI, machine learning, and data science to learners. We also want to ensure learners practice these skills in real-world problems. We ensure this by getting data from our partner companies. The impact that learners will have from this training will benefit humanity in improving the livelihood of their communities. the learner will have great opportunities of getting absorbed into companies that we have partnered with, create software and tools that improve lives, and also reduce the poverty levels seen in Africa and globally.