Projects

Our client, a prominent competitor in the automotive industry set to become an EV provider is interested in learning which attributes of a self-driving car are most influential in shaping customers’ preferences. Through conjoint analysis, we discerned the importance of each attribute in shaping customer preferences and explored potential market segmentation based on these preferences. Find out where they should focus their efforts!

How would you improve pricing and or apply revenue management techniques to improve revenues for a shipping container company? Let's examine the Container Transportation Company Case Analysis.

Canterra, a company of over 4000, requested an in-depth analysis of their rate of attrition. The company experiences a large exodus of about 15% of its employees each year, in which the replacement process of these employees requires valuable time and resources. How would you solve and analyze this case?

Canterra has a high attrition rate. Utilizing employee data, Machine Learning (ML) can be leveraged to gain insight and better improve attrition outcomes by identifying the factors that contribute to attrition and implementing strategies that are effective for combating it. But which models provide the most accurate insights?

Case "Customer Analytics at Bigbasket - Product Recommendations". Pramod Jajoo, the Chief Technology Officer, at Bigbasket identified two customer pain points while placing orders for products at Bigbasket. What product recommendation algorithm would solve these two pain points?

AirBnB wants to improve their pricing strategy in Washington DC. Which machine learning neural network algorithm would help them accomplish this goal? Let's examine two neural network models to predict prices of listings.

Just-In-Time vs. Just-In-Case Strategy: What is the optimal Influenza vaccine production quantities to prevent a public health catastrophe, prevent vaccine major vaccine shortages and surpluses all the while maximizing profitability? Optimization Case Analysis.

How would you analyze a major financial institution like LendingClub's dataset to train models to predict the interest rates of the loans? Case Analysis of Predictive Analytics.

Is Python better for Machine Learning? How would you use python to analyze a major financial institution like LendingClub's dataset to train models to predict the interest rates of the loans? Case Analysis of Predictive Analytics.

Are your employees quietly quitting? Have you noticed a drop in revenue, decreased productivity, and higher attrition? Find out how we analyze and solve for this.

Which Recommendation Systems offer the most optimal performance for recommending books to readers on GoodReads?