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Details and goal-oriented data scientist, analytics professional who quickly gains a deep understanding of a companyā€™s mission
and using skills and strategic perspective to effectively increase its profitability. Solid understanding of data ...
Requirement of Machine Learning model to do analysis and prediction using last 9 years data of iron-ore mines of
a particular segment of the client and do a performance prediction. Client requirement was to do segment analysis
of all of their 4 segments in Chile. The model was built using Logistic Regression. The resulting
model had F1 score of 0.942 . It resulted in a 12% reduction in Freight cost with annual savings of $3.3M .
To build a content-based recommendation system using customer feedbacks and ASIN numbers. The ASIN
number is a textual information of products. The model was developed by pre-processing textual information
using NLP techniques and then finding similarity of textual information using Minkowski ā€™s distance. The final
model was having RMSE of 0.289. The resulting model increased user engagement by 32%.