Nikita Bachani Email & Phone Number

Bengaluru, Karnataka, India

Working in CPG domain to help organization take informed decisions.

Bengaluru, Karnataka, India

Policy Lapsation model: Spearheaded the development of a classification model to identify policies which are most likely to belapsed/discontinued within next 1-3 months using machine learning algorithms (Logistic Regression, Decision Tree, Random Forest).Similarly, developed pre-issuance discontinuation model.• EDA automation framework: Improved model development process by rolling out a standard EDA automation framework, which hasfeatures including data dictionary, missing data distribution, outlier analysis and imputation, data distribution with plots, IV and WOE,and feature correlation plots.• Collaborated across departments to define objectives and ensure alignment between data science outputs & organizational goals.• Mentored junior team members in developing their technical skillset related to data science projects.

Bengaluru, Karnataka, India

Demand forecast: Using time series analysis algorithms (ARIMA, Holt Winter's exponential smoothing, Croston), developed a model topredict demand and optimized the prediction using linear programming• Market Mix Modelling: Developed budget allocation strategies across different media channels and optimized the same using Google'sLMMM framework to help client’s marketing team make informed decisions, which has improved the ROI by 18.2%• Collection forecast and sales forecast: Developed a model to predict the payment/sales from different obligors in R for a business tomanage working capital proficiently using standard ML algorithms (Logistic regression, xgboost)• AutoML: Ideated and designed a SaaS product roadmap for an AutoML tool that has different ML models integrated. Migrated R codeto Python and developed backend APIs using Flask in Python. API documentation was done using Swagger.

Pune, Maharashtra, India

Lifecycle Engineering Automation Platform: Developed and deployed AI-enabled bots to provide insights across various stages ofSDLC using machine learning algorithms and NLP techniques. E.g. Requirement analyzer to assess the ambiguity and completeness ofthe user story under the requirement gathering stage of agile project development. Smart Feedback Analyzer to know the sentiment ofreviews/comments provided by application user. Python, Flask API, nginx, and Docker were used.

Pune Area, India

• Developed a solution to the problem associated with the project internally using C#.net. • Involved in Development, Maintenance, and monitoring using MS SQL server.• Performed unit testing and regression testing for the deployment.

Master Of Computer Applications (M.C.A.), Computer Science

Activities and Societies: Member of IEEE Student Branch, Nirma University.IEEE is the world's largest technical professional organization.

B.Sc(C.A & I.T), Computer Science

Higher Secondary Education, Science