Priya Gupta Email & Phone Number

Pune, Maharashtra, India

Fuel Efficiency Optimization through Fault Code Analysis Conducted statistical and trend analysis on 700 million records, addressing challenges like missing trip data and fuel economy outliers. Identified and prioritized the top 30 fault codes affecting fuel economy, providing actionable insights for Cummins' fleet maintenance.Predictive Maintenance Model for Engine Component Defects Developed a predictive maintenance model using XGBoost, covering the entire ML pipeline from training to deployment. Integrated data from three sources and applied advanced feature engineering to address real-world scenarios. Managed 85 million records and imbalanced datasets, achieving an accuracy of 91.5% and an ROC score of 0.927.Tools & TechniquesDataBricks, PowerBI, PyCaret, Optuna, Pyspark, SQL, Imblearn, Statistical Analysis, Hypothesis Testing, MLOps, XGBoost, LightGBM, A/B testing.

Pune, Maharashtra, India

Vendor Pricing Financial Analysis: Analyzed over 3 million transaction records to assess the impact of payment terms on vendor pricing. Identified key vendors experiencing up to a 42.3% increase in costs due to varying payment terms, providing actionable insights that influenced strategic finance decisions.Invoice Processing Optimization: Enhanced IQ Bot capabilities using advanced Python scripting and OCR technology, leading to a significant improvement in data extraction accuracy and recovery of $1.5M in previously untracked cash flow.Knowledge-Sharing Sessions: Conducted knowledge-sharing sessions on Machine Learning and Data processing, empowering team members with essential skills and best practices.Tools & Techniques used: Regular Expressions (Regex), Optical Character Recognition (OCR), Advanced Excel, PowerBI, Power Query, Jupyter Notebook, Statistical analysis, Data preprocessing.

1. Predicted percentage of students based on the number of study hours using Supervised Machine Learning.2. Predicted optimum number of clusters from the given Iris dataset using Unsupervised Machine Learning.

Master Of Technology - Mtech, Cse With Specialization In Data Science, A

Bachelor Of Technology - Btech, Computer Science, 81.17%

Higher Secondary School (12Th), Science Field(Maths + Bio), 82%

High School(10Th), 9.6 Cgpa