AKSHAYA BALAJI

▪ Built a stock photography platform similar to Pexels and Shutterstock, offering high-quality royalty-free images and videos. ▪ The main motto of this site is to display images that are copyright free.

PROJECTS: 1) Prediction of Generator Efficiency ▪ Handled the missing data and forecasted the uptime of a machine with 80 % accuracy. ▪ Visualized key insights using Matplotlib and seaborn libraries. ▪ Predicted Efficiency Percentage by using Machine Learning algorithm – Random Forest Regressor. 2) Prediction of Asset Health ▪ Prediction of likelihood of the machine having a failure by using Unsupervised Data. ▪ Generated duplicate data from synthetic data leading to downtime of machine. ▪ Charts were constructed to represent the output (Bar Chart, Scatter plot, Histogram). 3) Job Shop Scheduling ▪ Analyzed the problem statement after gathering the required data from client. ▪ Implemented a Pyomo model and Coin Branch Cut for optimization. ▪ Performed data analysis and data pre-processing, by converting the raw data into Json format which is later fed to the model. ▪ Utilized Gantt charts for data visualization and provided the insights. ▪ Predicted the optimal time schedule, achieving 15% reduction in makespan. 4) Recommendation Engine ▪ Developed a recommendation engine by using ChromaDB, a vector database for effectively storing and retrieving data. ▪ Generated vector representations and leveraged embedding functions created with Sentence Transformer (all-MiniLM-L6-v2) to predict the most suitable engines. ▪ Distance and confidence score was evaluated to check accuracy of recommendation engine.