Prachi Jain Email & Phone Number

Gurugram, Haryana, India

Part of the Compensation and Benefit Team, as head of HR Analytics , managing Manpower Cost Optimization, Workforce Productivity, Exit Prediction and Manpower Cost Forecasting

Gurugram, Haryana, India

1) Preventive Maintenance-Predicted energy production patterns and specific equipment faults using multiple data science algorithms to preventfailure and increase generation2) Optimization of Plant Maintenance- Optimized plant operations, which includes issues of equipment malfunctioning, soiling, and shading- Monitoring real time data to alert engineers about equipment failure3) Reporting and Visualization- Created several dashboards in Microsoft PowerBI, to showcase plant performance to the investors and site engineers

Gurugram, Haryana, India

Analytics as Government e-Marketplace, here I was working in Fraud Analytics domain and trying to find anomalies in data where business rules were being crossed over.

Burlington Greater Boston Area

Predictive Analytics in Customer Behavior• Developed and enhanced the customer behavior model for the client which predicts the next visit and items to be bought, which further is used for personalized and targeted promotions with an accuracy of 90%• Identified customers into segments based on the behavior and patterns of their past visits and item purchases

Burlington, Greater Boston Area

Feature Generation for Pricing Recommendation System • Calculated item-wise general time period between purchases and quantity bought in each transaction which further gets used for daily newspaper and online promotions • Used Most Likelihood Value algorithm computation in R, which is saved in Oracle database as an item characteristic• Processed data for 10,000 to 40,000 items whose transactions history constituted to 5M to 10M of data pointsNew Item Sale Prediction• Sales prediction of new items by grouping items together and borrowing history of similar items• Used K-means Clustering, Non-metric Multidimensional Scaling and Scatterplot visualization techniques Grouping Algorithm• Enhanced prediction capability of the software to handle the increase in items from 13000 to 700 through grouping algorithm Maintaining the Pricing Recommendation Statistical Software Solution • Weekly monitoring of recommended prices on the service for quality assurance

Troy, New York

Teaching Assistant (Fall 2015) for Calculus - I (MATH 1010) course in the Mathematical Department of the School of Engineering, RPI for Management, Architecture and Humanities Arts and Social Sciences mojors. Conducting 3 hours of weekly recitation sessions with 2 hours of office hours to mentor the students with respect to their coursework, assisting the professors in setting up the quizzes followed by grading the quizzes and the quarterly exams.Recitation classes for students consist of discussing concepts and doubts of the subject and enhance their knowledge about the same and help them implement those concepts in practical scenarios

• Built analysis cube and different prediction model on New York’s Voter Database to predict who will vote using Microsoft SQL Server Integration and Analysis Services and Microsoft Excel’s Data Mining plugin and presented it in SQL Saturday at State University of New York, Albany• Built descriptive model on New York’s Health Care Data using Power Query, Power Pivot, Power View and analysis plugin in Microsoft Excel• Analyzed the survey data for New York Medicaid Redesign Project and applied several algorithms to get better insight and unravel any underlying patterns using R and Microsoft Excel

Troy, New York

Teaching Assistant (Fall 2015) for Mathematical Methods in Management and Economics (MATH 1510) course in the Mathematical Department of the School of Engineering, RPI. Conducting hours of weekly recitation sessions with 2 hours of office hours to mentor the students with respect to their coursework, assisting the professors in setting up the quizzes followed by grading the quizzes and the quarterly exams.Recitation classes for students consist of discussing concepts and doubts of the subject and enhance their knowledge about the same and help them implement those concepts in practical scenarios. The topics broadly covered were solving systems of linear equations using several different methods and applying those in real world problems.

Master'S Degree, Business Analytics

Activities and Societies: *Work for the Masters Research Scholar Program in the Department *Member of the Graduate Management Student.

Bachelor Of Technology (B.Tech.), Computer Science

Activities and Societies: *Completed certified courses for Java(core), Data Structures in C, PHP *Attended workshops like Drupal web 2.0.