Important things to know
Eyes on the goal, you are planning to land a data science role at the nearest opportunity. Yes, you have paid your dues to complete several data science courses but you still don’t have any real world projects to prove your skills.
Working on data science projects is particularly important to you because hiring managers find it easier to comprehend your skill level from the projects you have executed either as a demo or in the real world. Interestingly, working on projects is also for the best data scientists.
Sure enough, there is no lack of ideas on which projects to work on in our world today but how do you access the raw data needed for these tasks? That’s the problem this article addresses to help you identify some real world projects to work on going forward in your learning journey and professional practice.
But first let’s define Data Science in simple terms…
“Data science is the practice that uses data to build models that can predict future outcomes. Data scientists use tools and techniques such as programming, statistics, machine learning to extract insights from data ultimately to build predictive models, and develop new algorithms.”
Real Estate Price Prediction: Utilizing Multiple Linear Regression to Optimize Property Valuation
RealEstateBud is a real estate company that has been championing a dramatic change in the real estate industry of Manila. It is an organization that has been providing accurate valuation of properties for over 20 years. Today, accurate valuations are almost impossible in Manila’s rapidly changing industry landscape due to rapid urban developments, policy changes, and changing buyer trends.
RealEstateBud must continue to provide clients accurate valuations so that they can avoid missed investment opportunities and overpriced listings. RealEstateBud now looks to use the power of multiple linear regression to create insightful estimates for clients.
Tools to be Used
- ✅︎Microsoft Excel
Project Tasks and Deliverables
- ✅︎Create a valuation model that meets the ever-changing needs in the Manila real estate market.
RealEstateBud invites you to join this project where you can tell unwavering stories about buildings and their values. This will allow you to help more potential investors to make strategic decisions, great investments, and build their trust.
Customer Lifetime Value (CLV) Segmentation: Highlighting Opportunities for Up-Selling and Cross-Selling in a Telecom company
NexaSat is a Nigerian telecommunication company with a specialty in mobile internet and television services headquartered in the capital city of Abuja. With a wide array of customers in the West African market, it is currently lacking a tailored approach to customer engagement.
To tackle its current inefficiency in customer engagement, NexaSat seeks to employ the power of SQL to evaluate its customer data.
Languages to be Used
- ✅︎ SQL
Project Tasks and Deliverables
- ✅︎ Exploratory data analysis
- ✅︎ Feature engineering
- ✅︎ Segment profiling
- ✅︎ Customer Lifetime Value (CLV) implementation
NexaSat’s project will help you learn advanced SQL techniques and give you an opportunity to contribute to a great project that will impact the lives and experiences of our customers.
Credit Risk Assessment using Logistic Regression
Apex Trust Bank (ATB), a bank headquartered in New York City has over 80 national branches. It offers a wide range of services including personal banking and international transactions. The challenge ATB now faces is an increase in non-performing loans and loan defaults which is affecting her profitability and reputation.
ATB wants to turn its credit risk assessment around using data science and logistic regression.
Languages and Tools to be Used
- ✅︎ R programming language
- ✅︎ R studio
Project Tasks and Deliverables
- ✅︎ Develop a robust model
- ✅︎ Accurately predicts credit risk
- ✅︎ Minimize defaults
- ✅︎ Enhance financial stability
With the help of interested data scientists, Apex Trust Bank will turn around its credit risk assessment and together with you secure the future of its clients.
Time Series Analysis: Optimizing Workforce Scheduling in a Call Center to Improve Customer Satisfaction
CallWave is a leading Nigerian call center company, They have a track record for creating great customer experience and excellent operations. Today, CallWave has grown to a point where it struggles with efficient scheduling of its workforce.
They now want to explore the possibility of accurately forecasting daily call volumes and optimize their workforce to improve customer service using data. How will CallWave achieve this ambitious feat? Time series analysis
Languages and Tools to be Used
- ✅︎ R programming language
- ✅︎ R Studio
Project Tasks and Deliverables
- ✅︎ Data analysis and visualization
- ✅︎ Accurately forecast daily call volumes
- ✅︎ Optimize workforce
This project allows you to carry out some rigorous evaluations that will allow Callwave to project a better future for itself and its customers. You will also have the opportunity to test out your skills in a real world project.
Cohort Analysis for Assessing Customer Retention in E-Commerce Industry
E-Shop Pro has been a leading e-commerce company since 2010. Her priority has been redefining shopping experiences, quality service, and customer satisfaction. Today it faces a customer retention problem regardless of its partnership with top brands across the world.
E-Shop Pro seeks to understand its customer behavior. How can you help the company achieve this task? Cohort Analysis.
Languages and Tools to be Used
- ✅︎ Python
- ✅︎ Numpy
- ✅︎ Pandas
- ✅︎ Matplotlib
Project Tasks and Deliverables
- ✅︎ Exploratory data analysis
- ✅︎ Model development
- ✅︎ Develop new strategies for customer retention
Upon joining this project you get to contribute to a project that is at the core of reshaping the future of e-commerce. E-Shop Pro looks forward to partnership with you.
Leveraging Real-Time Vehicle Detection And Counting For Traffic Monitoring In Tollgate Surveillance
Efficient traffic management is a huge responsibility on roads around the world today. As a tech-startup seeks to transform tollgate surveillance, it acknowledges the pressing concerns of congestion at these toll gates.
How can this startup solve tollgate congestions in one blow? You will be required with other data professionals to develop an AI solution that implements real-time vehicle detection and counting for enhanced traffic monitoring.
Project Tasks and Deliverables
- ✅︎ AI-powered algorithms
- ✅︎ Robust data analytics platforms
This project will pave the road for smarter and safer cities by improving traffic monitoring greatly. The company looks forward to partnering with you on this project.
Optimising Retail Banking Strategies Through RFM-Based Customer Segmentation
BankTrust is an exceptional financial service provider that has been in existence for over 40 years. It currently seeks to create the future of retail banking by creating a highly personalized solution for its clients. Today, it faces the challenge of integrating e-commerce to its traditional banking values to increase its customer retention numbers.
How can this well established institution reduce its customer losses and meet their diverse needs in our fast paced world? Your work as a data analyst will be key in its planned RFM-Based customer segmentation project.
Languages and Tools to be Used
- ✅︎ Python
- ✅︎ Numpy
- ✅︎ Pandas
- ✅︎ Matplotlib
- ✅︎ Seaborn
- ✅︎ Scikit-learn
Project Tasks and Deliverables
- ✅︎ Exploratory data analysis
- ✅︎ Feature engineering and model development.
- ✅︎ Enhanced customer experiences
BankTrust is now ready for the next phase of its banking expertise. You can contribute to its transformation by joining this project today.
Unveiling Hidden Insights in Hotel Data: Leveraging Machine Learning for Customer Profiling
LuxuryStay Hotels is a global leader in the hospitality industry. Its premium accommodations has been redefining hospitality in several major cities worldwide since its inception in 2005.However, without a clear understanding of its diverse customer base, the organization cannot offer every customer category personalized services.
As LuxuryStay seeks to solve its prevailing concern with its customer base, a new data science is now open to professionals like you to display their best skills.
Programming Languages and Tools to be Used
- ✅︎ Python
Project Tasks and Deliverables
- ✅︎ Create comprehensive customer profiles using advanced machine learning techniques.
- ✅︎ Reducc booking abandons.
- ✅︎ Improve on existing marketing strategies.
This project will take you on a deepdive into the global hospitality industry data and test your Python programming skills to the very limits. Try your hands on this project now.
Customer Segmentation: Enhancing Customer Engagement in Online Banking
DigitalBank Inc. pioneered online banking in Nigeria. Over a decade later, the platform now serves millions of users through its mobile and web platforms. Across Nigeria’s diverse fabric of 36 states, DigitalBank now has several customer segments that are difficult to understand and engage directly.
How can DigitalBank Inc. understand these variations? It needs the help of data scientists like you to piece together the patterns in its user data.
Programming Languages and Tools to be Used
- ✅︎ Python
Project Tasks and Deliverables
- ✅︎ Advanced customer segmentation.
- ✅︎ Insights into customer behavior.
- ✅︎ Enhanced customer experiences.
This project is for you if you love to craft stories with data that has the potential to directly impact human experiences. DigitalBank looks forward to your contribution.
Time Series Forecasting for Bakery Sales: Predicting Quantity Sold Using Transactional Data
Blissful Bites, a bakery that serves the best pastries, bread, and sweet treats to satisfy everyone’s cravings. Sales forecasting is dear to the heart of the Blissful Bites team to cut down on waste and meet the very needs of every customer.
Now focused on tapping into the power of time series forecasting to gain insights into their future demand
Programming Languages and Tools to be Used
- ✅︎ Python
- ✅︎ Numpy
- ✅︎ Pandas
- ✅︎ Scikit-learn
Project Tasks and Deliverables
- ✅︎ Improved customer experiences.
- ✅︎ Accurate sales forecasting
- ✅︎ Reduce wastage
Join Blissful Bites meet the craving needs of its customers and cut down on wastages in this exciting project.
Enhancing Autonomous (Self-driving) Vehicle Safety Through Lane Detection Systems
AutonoTech Solutions is revolutionizing the Nigerian automotive industry with its ambitious goal to create autonomous vehicles for Nigerian roads. The unpredictable terrain of these roads poses a struggle to launch its line of autonomous vehicles in record time.
Accurate lane detection is now priority for the team at AutonoTech
Programming Languages and Tools to be Used
- ✅︎ Python
- ✅︎ OpenCV
Project Tasks and Deliverables
- ✅︎ Help Autonotech meet safety and compliance standards
- ✅︎ Create an accurate lane detection algorithm
This project is an exciting one that will redefine the transportation experience of Nigerians in urban cities. You should consider working on it today.
Enhancing User Dining Experiences: Developing a Food Recommendation System for Personalized Food Discovery in a Delivery App
FoodGenius is not the typical Nigerian food delivery app. Although its business model looks similar to other delivery apps, FoodGenius seeks to meet every customer halfway with a highly personalized experience. However, this has not been the case considering the high level of indecision customers face which leads to cart abandonments.
To create its desired personalized user experience, FoodGenius needs to partner with data scientists around the world.
Programming Languages and Tools to be Used
- ✅︎ Python
Project Tasks and Deliverables
- ✅︎ Data visualization
- ✅︎ Create a content-based recommendation system
Join FoodGenius on its journey to creating a personalised experience for users today.
Sentiment Analysis for Customer Feedback
TechTrends E-commerce Solutions, is a leader in the ecommerce industry that now boasts of over 500,000 customers. To sustain its track record of unprecedented customer growth, TechTrends looks to carefully evaluate its customer reviews to find actionable insights.
This has launched its sentiment analysis for a customer feedback project.
Programming Languages and Tools to be Used
- ✅︎ Python
- ✅︎ NLTK
- ✅︎ VADER
Project Deliverables
- ✅︎ Evaluate customer sentiments
- ✅︎ Improve customer experiences
- ✅︎ Enhance products
- ✅︎ Develop a model that understands feedback and predicts customer needs.
This sentiment analysis project will test your skills to unravel insights from customer reviews. Here, you will have the opportunity to impact the e-commerce industry positively.
Inventory Optimization Via Demand Forecasting
SupplySaver Corporation is positioned at the forefront of logistics and supply chain management. SupplySaver has maintained a renown for punctuality and prudence. To chart the new path forward for SupplySaver, the company needs to accurately predict product demand which will help reduce excess inventory, higher costs and product shortages
SupplySaver has launched an inventory optimisation project that will help automate how the company predicts and meet demand.
Programming Languages and Tools to be Used
- ✅︎ Python
- ✅︎ Numpy
- ✅︎ Pandas
- ✅︎ Matplotlib.pyplot
- ✅︎ Seaborn
- ✅︎ Scikit-learn
Project Deliverables
- Data processing
- ✅︎ Forecast evaluation
Join SupplySaver to optimize its sales process and gain hands-on experience with demand forecasting using Python.
Streamlining Logistics: Accelerating Delivery Time Prediction with Pandas and Scikit-Learn
LogisticsPro Inc. a global logistics and supply chain industry leader, serves 1000+ customers and approximately 20,000 shipments daily. Its operations currently generate over $2.5 billion. To further improve the efficiency of its operations, LogisticsPro wants to accurately predict delivery times.
Weather conditions, traffic volumes, and shipment volumes are some of the many factors that affect the accurate prediction of delivery times. A data science project has been born.
Programming Languages and Tools to be Used
- ✅︎ Python
- ✅︎ Numpy
- ✅︎ Pandas
- ✅︎ Matplotlib
- ✅︎ Seaborn
- ✅︎ Scikit-learn
- ✅︎ Flask
Project Deliverables
- ✅︎ Exploratory data analysis
- ✅︎ Rigorous model development
- ✅︎ Accelerate delivery time prediction.
This project will help you improve your exploratory data analytical skills using Python. Join this project now to contribute to the future of the logistics industry.
Advancing Precision Pest Control Through Object Detection Utilizing Convolutional Neural Networks (CNN) And ResNet-50
EnviroPest Solutions provides a much needed solution in the agricultural industry. To attest to the impressive work at EnviroPest, it has a 98% customer satisfaction rating. Regardless of its huge success, EnviroPest seeks to introduce accurate pest detection and efficient control methods to the industry.
EnviroPest has launched a project titled, “Pest Control via Object Detection”
Programming Languages and Tools to be Used
- Python
- ✅︎ Pandas
- ✅︎ Matplotlib
- ✅︎ Seaborn
- ✅︎ TensorFlow
- ✅︎ OpenCV
Project Deliverables
- ✅︎ Develop object detection models to identify and control pests accurately
You can join this project today and solve a pressing problem in the agricultural industry.
Conclusion
As you continue on your professional and learning journey you can always take advantage of data science projects to evaluate and improve your skills. Trying out your hands on these projects positions you strategically for better data science roles. Ultimately you’ll contribute much needed help to various industries including the telecommunication, logistics, and agriculture industries.
Amdari is helping data scientists find more projects like this. Check out the various curated project ideas to work on by signing up today.
