Satyanarayana R.

Expert in Data science

Bengaluru , India

Experience: 7 Years

Bengaluru , India

60000 USD / Year

7 Years

Now you can Instantly Chat with Satyanarayana!

7+ years experienced, meticulous & result-oriented Sr Data Science Expert

armed with an analytical acumen in econometric modeling, the algorithm

development & machine learning methodologies. Possesses a proven track

record ...rithm

development & machine learning methodologies. Possesses a proven track

record of setting up the data science function for a leading FMCG firm, in

addition to rendering consultancy services for a Fortune 500 company.

Proficient in deploying multiple algorithms and techniques such as the k-NN

the algorithm, multivariate regression, sentiment analysis, Neural networks, etc.

to create products that deliver a direct impact on the bottom line of

organizations.

Description

Deploy email classification model to enable the front office team to automatically categorize and assign the case to the requestor
Increased customer satisfaction due to frequent and fast resolution and cost savings as bots are automated solutions
The solution contains two modules vectorization module has models like Word2Vec, GloveVec, Custom vocabulary and the classification model has conv1d followed by neural network layers
It is deployed in Azure virtual machine through API it is communicated with salesforce

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Description

Detecting beer brands on Visi cooler screenshots shared by vendors of ABInBev to validate the utilization capacity of ABI brands
Quantify the allocation of beer brand in VISI coolers to monitor the usage from vendors
OpenCV helps in data preparation in cleaning, sizing and format the image data in the binary format along with coordinates

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Description

Improve OTC collections and cash position by predicting delay in payments to enable the customized collection actions
Design develop and deployed a full-stack intelligent led collection tool using python and deploy it on local Mainframe for the Canada region
Taking pre-emptive actions can drive down the collection time by 1 week
Optimize the use of collections resources by prioritizing the delinquent invoices for follow-ups
The champion model selection has Logistic regression, Gaussian Naive, Decision Trees, Random Forest, KNN,XgBoost, Linear Discriminant Analysis

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