Key accomplishments

  • Data Science and Machine Learning Expertise:
    • Possesses over 5 years of experience in Machine Learning, Deep Learning, Data Science, Computer Vision, NLP, Azure Databricks, and GCP.
    • Proficient in Python, SQL, and skilled in Tensorflow, Keras, and Fast.ai.
    • Holds a postgraduate degree in data science from Liverpool John Moores University.
  • Professional Experience Achievements:
    • At Tata Consultancy Services:
      • Implemented unsupervised learning algorithm DBSCAN for clustering data points in oil wells production intervention, leading to timely alerts for operational interventions.
    • At Searce Inc:
      • Developed Vertex AI Machine Learning pipelines for stream flow prediction achieving an impressive 0.79 R2 score.
      • Conducted research on Salient Object Detection and achieved 100% accuracy in background removal using a custom hybrid loss function.
    • At LTI – Larsen & Toubro Infotech:
      • Worked as a Security Administrator in JDEdwards ERP for Johnson and Johnson, handling enterprise-level project-related security requests.
  • Education Achievements:
    • Master of Science in Data Science from Liverpool John Moores University.
    • PG Diploma in Data Science from International Institute of Information Technology Bangalore.
    • Bachelor of Engineering in Computer Engineering from Vidyalankar Institute Of Technology.
  • Certifications:
    • Completed courses on machine learning pipeline using Dataiku and Deep Learning with PyTorch for Image Segmentation through Coursera.
  • Projects:
    • Developed ChatGPT Document Processor, a Language Intelligence Platform using Python, Flask, and OpenAI.
    • Created the Face Skin Analyzer, a Computer Vision model hosted on Hugging Face’s model repository, aimed at analyzing facial problems from text descriptions.
  • Publications:
    • Contributed to publications in the Becoming Human: Artificial Intelligence Magazine on topics related to Face skin analyzer with Fast.ai and Gradio and Generalization Technique for ML models.
  • Honors:
    • Received the Star Team Award from TCS in February 2023.
    • Qualified for Round 1 in the Google Code Jam Competition in May 2021.
Role 1
Data scientist
Role 2
Machine learning engineer
Test Score
AI, Machine learning, Data Science
75%
Unspecified
part-time-16-hours-per-weekfull-time 40-hours-per-weekcontract
Any
Senior
India
Any
NA
Remote
Willing to work for equity + rewardsWilling to work for paid projectsWilling to work for stock and paid projects

Tags

AITech

Education

Experience

Portfolio

Expertise

Machine Learning
85
Data Science
88
Deep Learning
75
Python
77
SQL
65

Languages

English,
Hindi,
Marathi

Honors & awards

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