Laxmi Narayana Chilakala
@laxminarayanachilakala
Data Science Enthusiast
Hyderabad
Laxmi Narayana Chilakala is a Data Science Enthusiast with 4 years of experience driving technical and analytical projects. He has worked extensively with various Machine Learning models, including Linear Regression, Logistic Regression, Decision Trees, SVM, KNN, Boosting, and Bagging techniques using Python. His expertise covers the entire data science process, from EDA and feature engineering to building and evaluating deep learning models using TensorFlow and Azure ML Studio.
Experience
Data Scientist
Hitachi Vantara
Worked on Churn AI project to identify customers at risk of stopping purchases. Responsibilities included data analysis, pre-processing, checking collinearity, feature engineering, hyperparameter tuning using hyperopt, and building/evaluating ML models.
Implementation Engineer
Aviso
Onboarding new clients using existing tools, responsible for creating and maintaining demo data, and providing feedback to continually improve tools and processes.
Data Scientist
Infosys
Involved in ML Project (CMB) to identify customers eligible for a credit limit increase, covering data analysis, feature engineering, visualization, model building (Logistic regression, SVM, KNN, Decision trees, Random Forest, XGboost, ANN using TensorFlow), hyperparameter tuning, and model evaluation. Also handled DevOps Project (Iceberg/CDE), from initial coding to final deployment, integrating tools with Jenkins CI/CD pipeline, production deployment using Blue-Green Methodology, and monitoring with AppDynamics.
Education
Coursera
Specialization
Deep Learning
Deep Learning Specialization
INSOFE
PGP – Data Science
Data Science
Amrita University
B-Tech
Mechanical Engineering