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Prateek Goel

Prateek Goel


Data Science Analyst



Experienced data science professional with a demonstrated history of driving impactful analytics solutions across diverse industries. Skilled in leveraging advanced machine learning techniques, including adversarial machine learning, to uncover strategic insights and optimize business outcomes. Proven ability to bridge the gap between data and actionable intelligence, enabling data-driven decision-making for organizations.

Professional Overview


Prateek Goel is a versatile Data Science Analyst with a strong track record of delivering transformative analytics projects. He possesses a unique blend of technical expertise and business acumen, enabling him to tackle complex challenges and drive measurable improvements. Prateek's areas of focus include machine learning, data modeling, and adversarial machine learning, with a proven ability to translate data into meaningful, actionable insights.

Experience Summary



Current Roles


Data Science Analyst, Costa Coffee (Present)
  • Spearheading the development and implementation of advanced data science models to optimize customer experiences and drive operational efficiency

  • Collaborating cross-functionally to identify key business objectives and translate them into data-driven strategies

  • Leveraging cutting-edge techniques in machine learning and adversarial machine learning to uncover hidden patterns and anomalies in large-scale datasets


Research Assistant (Adversarial Machine Learning), MathWorks (Present)
  • Conducting in-depth research on adversarial machine learning, exploring novel techniques to enhance the robustness and security of AI systems

  • Developing proof-of-concept models and evaluating their performance against real-world adversarial attacks

  • Contributing to the advancement of the field through research publications and industry collaborations


Career Progression


Machine Learning Engineer, American Express (2019 - 2021)
  • Designed and implemented advanced machine learning models to streamline fraud detection and prevention processes

  • Developed innovative solutions to enhance customer experience and drive operational efficiency

  • Played a key role in the successful migration of legacy systems to cloud-based platforms


Data Scientist, Tata Consultancy Services (2017 - 2019)
  • Leveraged data mining and predictive analytics to uncover insights that informed strategic decision-making for clients

  • Collaborated with cross-functional teams to identify and address complex business challenges

  • Spearheaded the implementation of data visualization tools to enhance stakeholder engagement and data-driven decision-making


Data Science Intern, Constalytics AI (2016 - 2017)
  • Gained hands-on experience in the full data science lifecycle, from data collection to model deployment

  • Contributed to the development of machine learning models for various industry verticals, including finance and retail

  • Demonstrated strong analytical and problem-solving skills in a fast-paced, innovative environment


Academic Background


Prateek holds a Master's degree in Data Science from the University of Cambridge, where he specialized in machine learning and optimization techniques. He also possesses a Bachelor's degree in Computer Science from the Indian Institute of Technology, Kanpur, graduating with distinction.

Areas of Expertise


  • Advanced machine learning and data modeling techniques

  • Adversarial machine learning and model robustness

  • Data visualization and storytelling

  • Collaborative problem-solving and cross-functional coordination

  • Cloud-based data engineering and infrastructure optimization


Professional Impact


  • Implemented advanced machine learning models that improved fraud detection rates by 25% at American Express

  • Developed innovative customer segmentation strategies that drove a 15% increase in customer loyalty for Costa Coffee

  • Contributed to multiple research publications in the field of adversarial machine learning, expanding the understanding of model vulnerabilities and defense mechanisms


Conclusion


Prateek Goel is a versatile data science professional with a demonstrated ability to drive transformative analytics solutions across various industries. His expertise in machine learning, adversarial machine learning, and data-driven decision-making, combined with his strong academic background and collaborative approach, make him a valuable asset in guiding organizations through their data-driven transformation journeys.