Rajita Nirajan

PROFILE SUMMARY Currently pursuing a PG program in Data Science and Business Analytics from The University of Texas at Austin (through Great Lakes.) A MI Certified PMP (Project Management Professional) and Certified Scrum Master (CSM) with nearly 18 years of experience in: - Product Management / Software Development - Delivery Management - Client Interaction / Requirement Gathering - Maintenance & Application Support - People Management / Training Worked as on-site technical lead in the USA. Expertise in concepts of end-to-end project planning & implementation from scope management, to activity sequencing, effort & cost estimation and risk analysis to quality management in line with international guidelines & norms in global environment with distributed teams in USA and UK. Hands-on experience in end-to-end development of software products for largely Finance & Banking industry and Public Sector domains Merit of handling and testing successful large-scale web-based projects using technologies like JavaScript, JQuery, VBScript, Oracle, SQL Server and Microsoft Technologies Possesses strong management, analytical, communication & people management skills

• Private Equity for Investran Product
• CRM Application in OneSolution
• Bidding System at Linksys
• Partner Connection Program at Linksys
• DELL Invoicing System
• Revenue Recognition Process at DELL
• Purchase Request System at nVidia, Capstone Project – Customer Churn Prediction
• The project involved developing a model to predict which customers had high chances of churning and provide business insights along with recommendations
• Python was used to perform EDA and seaborn and matplotlib for data visualisation
• Used many algorithms to come up with the best model (in terms of overfitting and recall)
• Logistic regression
• LDA
• KNN
• ANN
• Bagging
• AdaBoost
• GradientBoost
• XGBoost
• Model tuning was performed with the following methods:
• VIF factor
• SMOTE – As the data had class imbalance problems
• Grid Search
• Randomized Search
• Pricing for zircons – Built a model to recommend how to do pricing of zircons for a zircon manufacturing company
• The model gave the most important features of a zircon (carat, cut, breadth, height, etc.) based on which pricing should be done
• I used a Linear regression model to identify the most important variables and provided business recommendations based on that
• Predict whether a customer would opt for a holiday package or not – A tourism and travel company wanted its data analysed to predict whether a customer would opt for a holiday package or not
• Logistic regression and LDA was used to build models and come up with the best model which can accurately predict
• Salary prediction – This project involved using ANOVA technique to see if salaries of individuals depended on factors like occupation, age, and education
• Customer segmentation for a bank – In this project hierarchical and K-Means clustering was used to evaluate credit card usage of customers
• Based on users activities and spendings over the last few months, customer segments were decided which could help the bank in planning relevant promotional offers
• Provide business insight to a real estate company based on historical data – Used Tableau to create a storyboard of analysing data through different plots and coming up with recommendations on how the company can increase their sales
• Financial Risk Analysis – Developed model using logistic regression, random forest, and linear discriminant analysis to provide credit ratings of companies by analysing their net worth and default status
• Market Basket Analysis – Used KNIME to suggest combos of items to a grocery store which are bought frequently together so that the store can appropriately place, group, and price items
• RFM (Recency Frequency Monetary) analysis – Used KNIME to analyse data of past three years of an automobile company to help them find their best and loyal customers and also find out those who the company must let go in order to maximise revenue
• Mobile: +91-9008002835

I used to write my blog and did content writing in various spheres(technical, travel, academic) during my break from work.