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Durgumahanthi Venkatesh

@durgumahanthivenkatesh

Data Scientist at Shell India

Chennai

Shell IndiaNational Institute of Technology, Warangal

Durgumahanthi Venkatesh is a Data Scientist experienced in framing solutions to complex business problems using advanced analytical techniques. He has proven capabilities in Machine Learning and Predictive Analytics, working with varied data domains and technologies. His expertise includes Clustering, Forecasting, and Recommendation Systems, supported by skills in Python, SQL, and AWS services.

Experience

Data Scientist

Shell India

Oct 2001 - PresentChennai

Data Scientist with experience in understanding business problems, framing solutions using analytical techniques. Involved in projects like building predictive models for Customer Life Time Value (Poland) and forecasting fuel sales (South Africa). Developed dashboards providing a 360-degree view of the supply chain.

Senior Business Analyst

LatentView Analytics

Nov 2001 - Sep 2001Chennai

Data Scientist with experience in understanding business problems, framing solutions using analytical techniques. Involved in projects like Clustering Analysis, Competitive Intelligence, Recommender System, and applying ML techniques (Clustering, Forecasting, Classification, Regression). Gained experience using data visualization methods and Big Data technologies.

Education

National Institute of Technology, Warangal

B.Tech

BioTechnology

Jan 2015Grade: 8.12 / 10

Narayana Junior College

Class XII

Jan 2011Grade: 91.7%

Bhashyam Public School

Class X – SSC

Jan 2009Grade: 91.5%

Licenses & Certifications

SQL

Stanford Online on OpenEdX

• No expiration

Introduction to R

Datacamp

• No expiration

Machine Learning A – Z : Hands on in Python & R

Udemy

• No expiration

Skills

Clustering
Classification
Regression
Forecasting
Recommendation Systems
Linear Regression
Logistic Regression
Decision Tree
Random Forest
K Means
K Medoids
K Proto Type
Gradient Boosted Trees
Collaborative Filtering
Market Basket Analysis
Frequent Pattern Growth
SVM
Naive Bayes
Arima
PCA
SQL
Python
PySpark
C++
R
AWS EMR
Data Pipeline
API Gateway
DynamoDB
Lambda
MS Excel
Power BI
Tableau