Customer Analytics and Sales Performance
Completion Date : Mar 2021
For a global brand in Luxury Clothing – Published an e-commerce dashboard incorporating Customer Analytics and Sales KPI's across retail channels reflecting overall brand performance and deep-dive on various groups.
lg...ExpandFinancial Planning, Analytics and Insights
Completion Date : Jan 2020
For a multinational brand in Luxury Cosmetics – Deployed a cloud-based automated big data processing and reporting system to enable business with strategic decision-making capabilities and dramatically reduce cost by improving supply chain operations and inventory management to increase ROI.
lg...ExpandPredicting Offer Dropout by a candidate to improve the efficiency of the recruitment process.
Completion Date : Feb 2019
The objective of this project was to build a logistic regression model for predicting offer drop out or renege. Further, coming up with strategies to tackle renege was also under the preview of this project.
Logistics regression model in Python was used to complete the project and get the desired result. Predictions accuracy was 91%.
lg...Expand Gauging the efficiency of Performance Appraisal using Sentiment Analysis
Completion Date : Feb 2019
The objective of this project was to make the process of performance appraisal more accurate by identifying the disparity in the rating the comments given while performance appraisal by a manager. Percentage error committed by each manager was calculated and recommendations to reduce the same were developed accordingly.
This R and MS Excel was used and and scoring algorithm was used to score the points based on the comments.
lg...ExpandEmployee Segmentation using RFM analysis for improved sales efficiency
Completion Date : Jan 2019
The project objective is to identify the top-performing employees, new employees and the employees who need training using most popular RFM technique and Clustering algorithm in R.
lg...ExpandCompletion Date : Jan 2018
INTRODUCTION
It is an e-learning android application which I developed during my last semester for the capstone project. It is free of cost e-learning app. The main idea to create this application was to provide students of my university a platform for peer to peer learning and an option for the students to learn from a teacher who teaches in another class. It has two modules.
* Server app
* Students app
Apart from that if a student has any doubts, they can put their questions on the Discussion forum inbuilt in the app
WORKING
Student and tutors have to signup first on the app using their Phone No, Name, Password. After that sign in and you will be able to access the content.
Admin can give the right to create a course to verified people.
DEVELOPMENT
* Google FireBase Database is used for storing the students and tutors login data, and all other course materials and pictures are also stored on the firebase.
* Basically nothing is stored inside of the app. Everything is fetched directly from the FireBase Database.
* It helps reduce the size of app drastically. And as the app is only using internet services, RAM uses is also very Low.
Future:
* Addition of courses/exam/test module.
* Addition of modules which will help students in daily life apart from the curriculum.
* minor bug fixes.
* UI Modifications.
* Phone-based authentication.
* Addition of competitive courses.
* New additional functionality as required.
Note:
* App is not on Play store yet. It will be uploaded soon. For preview or other queries of applications contact on given Email or phone No.
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