Attrition Prediction and Control
Description
A leading MNC came to us with a problem of high rate of employees leaving their company. We developed a predictive model to identify at-risk employees and recommend retention strategies.
Methodology
- Comprehensive data collection from HR systems
- Statistical analysis of attrition patterns
- Machine learning model development for prediction
- Actionable insights dashboard creation
Benefits from the Project
- 30% reduction in employee turnover
- Saving of approximately $2.5M in replacement costs
- Improved employee satisfaction and productivity
- Data-driven retention strategies
Tools Used
Offer Renege for a Conglomerate
Description
A very large conglomerate was struggling with offer renege and we solved their problem using analytics. Our solution helped identify candidates likely to renege on job offers.
Methodology
- Historical recruitment data analysis
- Feature engineering from candidate profiles
- Predictive model development
- Integration with recruitment workflow
Benefits from the Project
- 45% reduction in offer reneges
- Streamlined hiring process
- Better candidate selection strategies
- Reduced recruitment costs
Tools Used
Insights Based on Customer Reviews
Description
By the help of user reviews we found insights which helped retailers and manufacturers improve product quality and customer satisfaction.
Methodology
- Text mining from online reviews
- Sentiment analysis and topic modeling
- Feature extraction from review texts
- Trend analysis and visualization
Benefits from the Project
- 20% improvement in product ratings
- Identification of key product features for improvement
- Competitive analysis based on customer feedback
- Enhanced customer satisfaction
Tools Used
Sentiment Analysis
Description
Sentiment of general public regarding two recent economic changes i.e. Demonetisation and GST were observed on the social networking platform Twitter to provide insights for policy makers.
Methodology
- Twitter API integration and data collection
- Sentiment classification algorithm
- Temporal analysis of opinion shifts
- Demographic segmentation of sentiments
Benefits from the Project
- Real-time public sentiment tracking
- Identification of policy reception trends
- Regional sentiment mapping
- Enhanced policy communication strategies
Tools Used
Sea Route Cost Optimization
Description
Determined the cost optimal location among various ports to bring materials from for a construction project. Factors such as tidal data, material cost, distance, barge size, ship size, fuel cost etc. were considered.
Methodology
- Multi-factor data integration and normalization
- Mathematical modeling of cost functions
- Optimization algorithm development
- Scenario analysis with varying parameters
Benefits from the Project
- 15% reduction in logistics costs
- Optimal port selection strategy
- Flexible modeling for future projects
- Environmental impact reduction
Tools Used
Airlines Delay and Cancellation Patterns
Description
Flight delay and cancellation data for the past few years in the US was analyzed. Objective was to find trends and patterns with focus on various airlines, days, seasons etc.
Methodology
- Large-scale historical data processing
- Time series analysis of delays and cancellations
- Causal factor identification
- Predictive modeling for flight reliability
Benefits from the Project
- Identification of key delay factors
- Resource allocation optimization
- Improved scheduling strategies
- Enhanced passenger experience planning