I have three years of data analytics experience across Insurance, Telecommunication, and Education sectors. Skilled in collaborating with stakeholders, I create proprietary analytical solutions and develop robust machine learning algorithms for high-quality outputs. Currently open to opportunities in data science and machine learning.
Programming and Scripting: Python Scripting, SQL, R, C, Jupyter Lab, Visual Studio Code, R Studio, Excel, Git
Data Analytics and Machine Learning:
Regression, Classification, Clustering, Neural Networks, Transformer Architecture, Feature Engineering, NLP, NLTK, Pandas, Numpy, Matplotlib, Tensorflow, Graph API, Hierarchical Clustering, Transformers
Database and Data Management: MySQL, Microsoft SQL Server, AWS Kinesis Data Streams, Sagemaker, CloudWatch, SNS
Development Tools and Infrastructure: SDLC, Agile Methodologies, Git, Docker, AWS EC2, AWS ECR
Advanced Machine Learning Concepts: Derivatives, Loss Function, Gradient Descent, Regularization, Optimizers, Image Processing, ANN, CNN, RNN
Data Visualization and Business Intelligence: Tableau