About Me
The domain knowledge I bring from my undergraduate study coupled with the 4 years of rigorous and extensive experience in the pharmaceutical analytics industry provides me with the liberty to apply the conventional as well as innovative methodologies.
I am adept at the following things:
1. Segmentation & Targeting Physicians, Patients, Hospitals, Pharmacies
2. Supply Chain Analytics Lead Time Analysis, Segmentation, Cost-to-Serve, Go-to-Market Strategy
3. Machine Learning Classification & Regression
4. Geo-spatial Models Haversine Distance, Air Distance, Road Distance
5. Scoring Models Weighted Matrix Scoring
6. R and RStudio
7. Excel
8. VBA
I have extensive experience with machine learning algorithms like:
1. Random Forest
2. Gradient Boosted Trees GBM
3. Linear Regression
4. Multinomial Logistic Regression
5. Artificial Neural Networks
6. XGB
7. k-means
8. Hierarchical Clustering
9. LCA
10. Cross-Validation LOOCV, LGOCV, k-fold
11. Sampling SMOTE, Over, Under
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