Resume

Career Summary

Data Scientist • Machine Learning Engineer • Computational Astrophysicist

• A data-driven professional with over 3 years of hands-on experience in data science and machine learning (Scikit-learn and TensorFlow), showcasing proven results in modeling, and scalable deployments.
• A dynamic data scientist with broad expertise in data engineering and AWS, skilled in transforming data into valuable insights and solutions using advanced mathematical modeling.
• A specialized machine learning engineer, proficient in classification, regression, and deep learning, leveraging a strong scientific background to excel in complex projects.

Areas of Expertise

• Programming Languages: Python, Java, SQL
• Libraries: Numpy, Pandas, Scikit-Learn, Tensorflow, Keras, XGBoost
• Machine Learning Techniques:
  • Natural Language Processing
  • Random Forest
  • Classification, Regression, SVM
• High-Performance Computing: MPI, OpenMP, Slurm
• Quantitative Analysis: Mathematical Modeling, Statistical Analysis
• Data Visualization Libraries: Matplotlib, Seaborn, Plotly
• SDLC: Jira, Git, Agile methodologies
• Big Data Tools: Apache Spark
• Cloud Services: AWS (Glue, Lambda, SageMaker, Kinesis), Docker

Certifications

• AWS Certified Machine Learning – SpecialtyJuly 2023
• AWS Certified Cloud PractitionerJune 2023

Education