Deepak Tyagi Email and Phone Number

Data Modeling, Process Automation and Stakeholder management

Commercial Excellence Projects - #Data Mart Development and Maintenance : Data Model design, Data Ingestion Planning, Requirement gathering, mock-ups and documentation for commercial and medical dashboards #Rep Activity and Performance analysis Dashboards : Customer category definitions and targeting based on RFM modelling, Sales Rep engagement planning through next purchase prediction, Benchmarking Sales reps based on performance, Campaign effectiveness analysis through uplift modelling #Sales Management Dashboard: sales insights at product and customer level along with the rep progress against monthly targets, Sales Rep Quota analysis #Functional Excellence Dashboarding: insights on the quarterly goal progress for the reportees #Forecasting Models: LRF(Long Range Forecast) models at sales and patients level #Delivery Management, Tableau, snowflake, redshift, Sql, python, Advanced excel

#Working on portfolio segmentation of clients based on account characteristics and provide recommendations on which segments and accounts to prioritize and target for an asset management firm and created API endpoints using flask web service#Worked on Participants’ Propensity model: Objective of the project was to derive top features and predict user enrollment based on user activity, Used Ensemble methods and created service to capture the model response and saving them to user bucket in S3

Actively involved in BI projects in the Healthcare Domain.#Tools: Python, Machine Learning (Scikit-Learn), SQL and Tableau#Data Modeling, Reporting and statistical techniques like linear regression, logistic regression,cluster analysis and algorithms like Random Forests, Boosting, k-Means etc., for predictive modeling and advanced Stacking and Blending techniques#Projects: Predicting Patients Characteristics and the likelihood of taking the vaccine, Multi-Channel Marketing Data Strategy using Linear Mixed effect Modeling

#Data blending, Reporting and summarizing, KPI extraction using Python#Regional Sales forecasting using Excel Modeling, ARIMA, MA, choosing the best algorithm for a region#Data sources: local CRM systems, Google Analytics, Flat Files, Structured Data#Data stores: AWS Redshift and AWS S3

Network Analytics, Network Recommendations, Identifying N/w Bottlenecks and Capacity PredictionTools: Ericsson specific tools- ERA & ITK, SQL, Perl, Ubuntu.

-Sprint CDMA EVDO 1X ( US operators ) project, with the wireless core design team, -Role: handled markets of US for their wireless design assignments for both EVDO and 1X processes, Client handling and troubleshooting with their virtual switch design.