Vikram Sunil Bajaj

Vikram Sunil Bajaj is a Machine Learning Engineer currently working at Bloomberg in New York, where he has been since December 2022. His role involves leveraging Natural Language Processing (NLP) techniques to enhance litigation analytics solutions, including case outcome prediction, as part of the Bloomberg Law Machine Learning team.23

Education

• Master of Science in Computer Science from NYU Tandon School of Engineering (2019), where he achieved a GPA of 3.93 and received several academic awards.
• Bachelor of Technology in Computer Science & Engineering from Gandhi Institute of Technology and Management, Hyderabad (2017), with a GPA of 3.95.23

Professional Experience

• Bloomberg: Senior Software Engineer / Machine Learning Engineer (Dec 2022 - Present)
  • Focuses on NLP for litigation analytics.
• Deutsche Bank:
  • AVP - Senior Software Engineer - Machine Learning (Mar 2022 - Dec 2022)
    • Developed a document management system utilizing machine learning for various document processing tasks.
  • Associate Software Engineer - Machine Learning (Feb 2020 - Mar 2022)
    • Led projects involving OCR and NLP to streamline document processing and improve efficiency.13

Skills

Vikram is proficient in several programming languages and technologies, including:

• Languages: Python, Java, SQL, JavaScript
• Data Science Libraries: scikit-learn, NLTK, pandas, NumPy
• Frameworks/Technologies: PyTorch, Keras-TensorFlow, Flask, React.2

Certifications

He holds various certifications in machine learning and deep learning, including those from Coursera and Google Cloud Platform.23

For further details about his work and projects, you can view his LinkedIn profile under the username vikrambajaj22.