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Mr. Nirakar PadhySenior Data Scientist | Machine Learning Engineer | MLOps
Latest Professional Experience (~6 Years)
Lead Data Scientist, Collinson
  • •Leading a team of 5 Data Scientists, Analysts and ML Engineers to drive the successful delivery of high-impact data science projects.
  • •Pioneered MLOps infrastructure with automated CI/CD/CT pipelines, cutting costs, speeding deployments, and enabling adoption via reusable templates and documentation.
    • 2022 – presentRemote, India
  • •Developed personalised recommender systems on AWS via MLOps pipelines, personalizing products for 18M customers across clients like Emirates, Etihad, and HelloFresh.
  • •Achieved 98% accuracy in extracting merchant names from over 950M transactions using string matching, NER model, AWS Comprehend, and ChatGPT, saving 600,000 GBP annually.
  • •Developed customer segmentation and lifetime value models to uncover behavioural patterns and forecast future earnings, driving strategic decision-making.
  • •Designed a RAG-based chatbot with LLMs, automating responses for RFI/RFP/RFQ and security questionnaires, saving over 100 manual hours monthly.
    • Data Scientist & ML Engineer, Perpetual Block AG
  • •ArtBanx: Developed an accurate predictive model achieving 2% MAPE to determine the fair value of the artwork for esteemed clients including Sotheby's and Christie's.
  • •ArtBanx: Developed an image search engine analyzing 5 million images using advanced image hashing algorithms to identify counterfeit artworks in auctions.
    • 2021 – 2022Pune, India
  • •Driven: Developed an accurate predictive pricing model with 1% MAPE for premium sports cars, aiding in establishing base prices for used sports cars in auctions.
  • •Utopia: Developed a computer vision and deep learning solution leveraging YOLOv5 to accurately detect and extract tabular information from 2.5 Million PDFs.
    • Data Science and Machine Learning Educator
  • •Delivered impactful Data Science workshops for university professors and postgraduate students, empowering them with advanced ML skills and practical insights.
    • 2022 – present
    Skills
    Tools/Languages — Python, R, SQL, PySpark.
    DS/ML Libraries — Scikit learn, NumPy, SciPy, Polars, Pandas, Statsmodels, PyTorch, TensorFlow, OpenCV, NLTK, spaCy, PyCaret.
    Data/Code/Production — MS Excel, MySQL, MongoDB, Git, GitHub Actions, Docker, Kubernetes, Terraform, MLFlow, DVC.
    Amazon Web Services — EC2, S3, EMR, EKS, ECR, RDS, VPC, CloudWatch, SageMaker, CloudFormation, Lambda, IAM, Bedrock.
    Education
    Master of Science - MS, Artificial Intelligence & Machine Learning, Liverpool John Moores University
  • •Courses: Machine & Deep Learning, NLP, Computer Vision, Data Warehousing & Data Management - Hadoop Ecosystem, EMR & Hive, Big Data Processing - Spark & PySpark, AWS, ML Ops, Version Control using Git.
  • •Achieved a Distinction grade for the thesis titled "Unlocking the Power of Unconventional Features for NIFTY50 Stock Index Prediction", securing a position in the top 1% of the class.
    • Advanced PG Certificate in Machine Learning & Cloud, IIT Madras
    Post Graduate Diploma in Data Science & Finance, Gokhale Institute of Politics & Economics
  • •Awarded Valedictorian title and Chanakya Scholarship valued at INR 2,62,500.
  • •Courses: Financial Markets, Econometrics, Computational Finance, Machine Learning, Data Analytics, Portfolio Theory & Asset Pricing, Risk Management, Corporate Finance, Fintech.
    • Bachelor of Science - B.Sc. in Mathematics, Mithibai College, Mumbai University
  • •Awarded Valedictorian across all B.Sc. branches at Mithibai College with a CGPA of 9.84/10.
  • •Courses: Physics, Calculus, Linear Algebra, Numerical Analysis, Real & Complex Analysis, Statistics, Distribution & Sampling theory, Probability and Applied Statistics.