Raghavendra Naik

is fine and healthy. 🥦

Angestellt, Senior Data Scientist, Tata Consultancy Services Deutschland GmbH

Frankfurt am Main, Deutschland

Über mich

Over 13 years of machine learning and data science experience with a proven track record of developing and implementing large scale algorithms that have significantly impacted business revenues and enhanced user experiences across diverse industries, including Telecommunication, Banking, Insurance, and Retail. Throughout my career, I have harnessed my proficiency in Python, C/C++, Java, and scripting languages to develop algorithms, create data models, perform statistical analysis, data engineering and visualize data. Hands-on experience applying several ML/Statistical algorithms to real-world challenges, encompassing Transformers, Neural Networks, Boosted Trees, Random Forest, Linear Models and Bayesian Models. I take pride in my ability to build end-to-end machine learning platforms using Python and big data technologies, ensuring seamless deployment of solutions. Moreover, I possess exceptional programming skills in Python, enabling me to implement cutting-edge solutions efficiently

Fähigkeiten und Kenntnisse

Data Science
Machine Learning
Deep Learning
TensorFlow
SQL
Apache Spark
Statistics
Big Data
Natural Language Processing (NLP)
Python
Kubernetes
Docker
MLOps
Python pandas
Generative AI
Large Language Models
Data Processing
Data Modeling
Data visualisation
Azure DevOps
Microsoft Azure
AWS
Amazon SageMaker
Statistical Modelling
Keras
PyTorch
Data Analysis
Artificial intelligence
ML
Java
Neural Networks
Git
Statistical Analysis
Mathematical Modeling
NumPy
C/C++
Text Mining
Cloud Computing
GCP
scikit-learn
Architecture
Team work
Communication skills
Reliability
Team Management
Team leadership

Werdegang

Berufserfahrung von Raghavendra Naik

  • Bis heute 9 Jahre und 11 Monate, seit Juli 2014

    Senior Data Scientist

    Tata Consultancy Services Deutschland GmbH

    Design and develop a cutting-edge Machine Learning based solution for client. Conduct data analysis in the domains of telecommunication, insurance and banking to gain insights into the underlying patterns and trends, ensuring data quality and suitability for modeling tasks.

  • 3 Jahre und 7 Monate, Jan. 2011 - Juli 2014

    Software Developer

    LG Electronics

Ausbildung von Raghavendra Naik

  • 2 Jahre, Okt. 2020 - Sep. 2022

    Data Science

    Birla Institute of Technology and Science

    Master's in Data Science

  • 3 Jahre und 2 Monate, Mai 2007 - Juni 2010

    Computer Science

    Visvesvaraya Technological University

Sprachen

  • Englisch

    -

21 Mio. XING Mitglieder, von A bis Z