Neeraj Khadagade

Technology Analyst

EY•  November 2021 - Present

Talent Engagement Analytics – Profit Optimization​ - Analyzed compensation data across different designations for multiple years - Validated the hypothesis for average compensation, %hike and utilization using T-test.​ - Visualized compensation and utilizations for new and experienced hires on PowerBI dashboard​ - Automated Python scripts to reduce dependency on Excel Healthcare POC – Fraud Detection​ - Built POC for Insurance Fraud Detection - Handled various datasets and merged them to get the data on hospital-level - Built dynamic Power BI dashboards to analyze data of beneficiaries, claims, and providers - Created UI on Power Apps to upload data to Azure Blob Storage - Built a classification model to predict any fraudulent claim(s) CP&R – Retail POC​ - Performed price band analysis, price point analysis, price gap analysis and price elasticity analysis - Leveraged machine learning and advanced statistical techniques - Predicted the sales for the forthcoming year with the historical data using XGBoost - Created PowerBI dashboards to analyse the various promotional mechanics, the effect of media coverage, and analyzed various KPIs

Data Scientist

DecifAI•  July 2020 - July 2021

- Attended and contributed to meetings to understand the business problem, plan technical requirements, and conceptualized the project agenda - Co-authored the documentation - Acquired data from third-party sources for data enrichment - Handled, stored, and processed data sets present in the client’s CRM on a data warehouse - Created dynamic dashboards on Tableau; boosted dashboard response time by 20x - Implemented machine learning algorithms; Logistics Regression, Random Forest Classifier, and XGBoost Classifier - Optimized and improved the predictions with XGBoost

Co-founder and Photographer

Freelancer•  June 2017 - January 2018

- A creative startup; worked on domains that involved photography, web designing, and digital collaterals (like brochures, flyers, t-shirt designs, etc.) - Worked with clients from different industries like food & beverages, jewelry, e-commerce, website designing, and residential project. - Brought clients onboard via cold mailing, references and magazine mention.

International School of Engineering (INSOFE)

Data Science, Post Graduate Program•  August 2019 - January 2020

A 6-month intensive course that enables to handle data more efficiently and more meaningfully. Modules studied under this course includes foundations of Probability and Statistics, data visualization, statistics and probability in decision modelling, machine learning algorithms, foundations of text mining, AI and decision sciences. Secured 1st place in the Project Hackathon and Defense (PHD) and was awarded with a scholarship of Rs. 75,000/-. Secured 3rd place in the Mid-Term Hackathon (MiTH) and was awarded with a scholarship of Rs. 45,000/-.