Top Data Science Projects to Build Your Portfolio

Preparing to break into the competitive world of data science? 

Out there, the environment is nothing less than a battlefield. 

So, you must be ready with your ammo, including your skills, expertise, and knowledge.

However, employers don’t merely want to see what you know. 

They want to see how well you can apply what you’ve learned during your data science course in Pune and how you can help them address their challenges.

So, what is it that you need to create that impression? The answer is a portfolio.

Your portfolio reflects the expertise you build during the course. It should comprise the projects you’ve worked upon and the results you delivered.

Thus, the more impressive your portfolio, the stronger your candidature.

Therefore, let’s look at the top five data science projects you can consider working on during your data science course for beginners.

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  Social Media Sentiment Analysis

Companies often use this to determine the sentiment of customers concerning their brand or industry as a whole. It helps them align their strategy, communication and content.

So, your goal in this project is to analyze customer reviews and determine the sentiment.

During this project, you will use NLP (Natural Language Processing) and collect social media data with APIs and models like LSTM, Naïve Bayes, and transformers. It will help you learn text preprocessing, sentiment classification, and handling language-based nuances.

You can create a dashboard to visualize sentiment trends over a particular duration to make your project and its presentation more professional.

• eCommerce Recommendation System

Ever wondered how leading OTT and retail platforms provide accurate product recommendations? Technically, a lot happens at the backend. However, the system that makes such personalization possible is the recommendation engine.

Your task in this project is to build a recommendation engine. To do so, you must use user behavior and product data to build a combined filtering or content-driven recommendation model. You can use libraries like TensorFlow or Surprise.

Additionally, you must test models like Matrix Factorization, KNN, and Deep Learning models. The project will help you learn user-item interaction matrices, cold start issues, and performance metrics like MAP@K and NDCG.

You can also add an element of personalization by including recommendations based on user preferences to enhance engagement and the model’s accuracy.

• Sales Forecasting

We all want to look into the future and be prepared for it. But amidst the uncertain business environment, companies are more eager to do this than anyone else.

Sales is a nucleus of forecasting for every company. And for that, they harness the power of data science and capabilities of data scientists like you.

So, what’s your role here during the learning stage? 

You must build a model to predict sales based on historical data. 

The project will help you demonstrate your time series analysis skills, how well you can handle seasonality and trends and your comprehension of forecasting metrics.

During the project, you will use technologies like Python (ARIMA, statsmodels, Pandas and more) and visualization tools like Seaborn and Matplotlib.

You can make the project more engaging by comparing various forecasting methods. Furthermore, you can show the impact of different external factors like end of seasons, holidays, promotions, stock clearance, etc.

Check Out – Why is Ethan’s the Best Choice for a Data Science Course in Pune?

• Dynamic Pricing Strategy for an Airline

Operating an airline involves innumerable challenges. 

However, what matters the most to every airline is whether each of its flights is fully booked. An empty seat is a loss an airline can never recover for that particular flight!

So, your task is to help a company build a dynamic pricing strategy that will help an airline have flight seats that align with the changing demand and supply.

In this project, you will create simulated data to signify the existing scenario wherein some flight slots are never used or never get full. Next, you will train a forecasting model (XGBRegressor) on price, days left before the trip, weekends, weekdays, etc. It will help you project how many seats the airline can fill on flights.

Now, you can use the days left before the trip element as a leverage for a self-correcting dynamic pricing strategy. Earlier price adjustments and ensuring an increase in price from a particular point can help drive more bookings during the low season, thus benefiting both – the airline as well as the traveler.

 You can achieve this with an optimization layer to determine the optimal increasing pattern, reducing the number of wasted slots, and optimizing airline revenue.

Later, you will measure how effective these price alignments have been, particularly in terms of covering slots and revenue generated. Thus, it is an indeed amazing project you can consider doing as it benefits the airline and its passengers and drives numerical value.

• Fraud Detection

Digital frauds, particularly in the field of BFSI are on a continuous rise.

So, you have a task to build a model that detects fraudulent credit card transactions.

Remember, fraud detection is one of the biggest responsibilities of a data scientist. It is a high-stake application. Hence, this project can add value and weight to your portfolio.

During this project, you can work with datasets like the Kaggle Credit Card Detection to build an anomaly detection model with Isolation Forests, Autoencoders, and One-Class SVM. The project will help you learn anomaly detection techniques, data imbalance handling techniques, ROC curves, and AUC for model evaluation.

While working on the project, focus on reducing the number of false positives. These matter the most in financial fraud detection.

Pull Up Your Socks and Prepare for the Big Race!

Of course, you can work on many other projects, which our faculty members will discuss and guide you on during your data science course in Pune.

As a leading technology training partner, we emphasize shaping careers instead of merely imparting technical knowledge. Helping students build a diverse and rich portfolio is part of that career-oriented and comprehensive approach.

So, why wait? You want to pursue a data science course and are looking for reliable data science institutes in Hyderabad or Pune. Ethan’s Tech serves both your purposes!

Call us at +91 95133 92223 to know more about our courses, fees, schedules, etc.