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Paritosh M.

Data Scientist

Paritosh is a highly experienced Senior Data Scientist renowned for his proficiency in handling and interpreting extensive datasets through state-of-the-art machine learning and deep learning methodologies.

With a robust nine-year background spanning finance and technology industries, Paritosh possesses advanced qualifications and a versatile skill set that has profoundly shaped his professional journey. His career highlights include pivotal positions at Gweek and Robert Bosch Corporate Technology Lab, alongside academic pursuits at prestigious institutions such as the University of Oxford and IIIT Delhi, where he has contributed significantly to pioneering projects.

Paritosh's dedication to the advancement of machine learning and artificial intelligence is evident through his numerous research publications, which serve as a testament to his ongoing commitment to innovation in these fields.

Main expertise
  • Python
    Python 10 years
  • MySQL
    MySQL 8 years
  • PyTorch 5 years
Other skills
  • Hadoop
    Hadoop 4 years
  • Matlab
    Matlab 2 years
  • R (programming language)
    R (programming language) 2 years
Paritosh
Paritosh M.

United Kingdom

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Selected experience

Employment

  • Senior Data Scientist

    Petroineos Trading Limited - 1 year 1 month

    • Implements predictive modeling strategies using both conventional forecasting methods and advanced deep learning techniques to facilitate the deployment of effective trading strategies;
    • Presents analyses on key trends and associated risks, articulating their impact on performance to facilitate informed decision-making discussions.

    Technologies:

    • Technologies:
    • Python Python
    • Data Science
    • Machine Learning Machine Learning
    • Azure Azure
    • NLP
    • Apache Kafka Apache Kafka
    • ChatGPT API ChatGPT API
    • Recurrent neural network
    • NumPy NumPy
    • Pandas Pandas
    • Plotly Plotly
    • Data Engineering
  • Senior Data Scientist/Engineer

    Elan Capital Management - 1 year 6 months

    • Deployed and upheld Kafka pipes to collect real-time data at tick level from diverse providers, ensuring a constant inflow of crucial real-time information for analysis;
    • Communicated findings and insights effectively to both technical and non-technical stakeholders through clear visualizations, reports, and presentations, enabling informed decision-making based on the analysis conducted.

    Technologies:

    • Technologies:
    • Python Python
    • Data Science
    • Machine Learning Machine Learning
    • AWS AWS
    • NLP
    • Pandas Pandas
    • Plotly Plotly
    • Data Engineering
  • Data Scientist

    Bloomberg - 2 years 4 months

    • Launched the revenue-generating offering, Walletshare, within the Bloomberg terminal, estimating bank fees in deals like IPOs, bond offerings, and loan offerings;
    • Implemented a machine learning model utilizing two decades' worth of data to facilitate accurate fee estimation;
    • Spearheaded the development of innovative data acquisition methods, leveraging various NLP (Natural Language Processing) techniques to enhance accuracy and expedite time-to-market for the offering;
    • Conducted in-depth analysis of client usage patterns within the Bloomberg terminal, examining time spent on products. Leveraged insights to propose and conceptualize potential enhancements aimed at improving user experience and engagement.

    Technologies:

    • Technologies:
    • Python Python
    • Machine Learning Machine Learning
    • AWS AWS
    • NLP
    • Hadoop Hadoop
    • Apache Kafka Apache Kafka
    • Recurrent neural network
    • NumPy NumPy
    • Pandas Pandas
    • Plotly Plotly
    • Data Engineering

Education

  • Standalone courseComputer Science

    University of California, Berkeley, Haas School of Business · 2017 - 2017

  • MSc.Computer Science

    University of Oxford · 2015 - 2016

  • BSc.Computer Science

    Indraprastha Institute of Information Technology, Delhi · 2010 - 2014

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