Paritosh M.

Paritosh M.

Data Scientist

United Kingdom
Trusted member since 2023
10 years of experience

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

PythonPython10 years
MySQLMySQL8 years
PyTorchPyTorch5 years
Data Science9 years
12+

Experience5

Petroineos Trading Limited

Senior Data Scientist

Petroineos Trading Limited
Energy and Utilities
May 2023 · 2y 10m
  • Implemented predictive modeling strategies using both conventional forecasting methods and advanced deep learning techniques to facilitate the deployment of effective trading strategies.
  • Presented analyses on key trends and associated risks, articulating their impact on performance to support informed decision-making discussions.
Data Science
NumPyNumPy
PandasPandas
Recurrent neural network
NLP
2+
Elan Capital Management

Senior Data Scientist/Engineer

Elan Capital Management
Investment and Wealth Management
Nov 2021 - May 2023 · 1y 6m
  • Deployed and maintained Kafka pipelines to collect real-time tick-level data from diverse providers, ensuring a continuous inflow of crucial information for analysis.
  • Communicated findings and insights to both technical and non-technical stakeholders through clear visualizations, reports, and presentations, enabling informed decision-making based on the conducted analysis.
Data Science
PandasPandas
NLP
Machine LearningMachine Learning
PlotlyPlotly
Bloomberg

Data Scientist

Bloomberg
News and Magazines
Jun 2019 - Oct 2021 · 2y 4m
  • Launched the revenue-generating offering, Walletshare, within the Bloomberg terminal, estimating bank fees in deals such as IPOs, bond offerings, and loan offerings.
  • Implemented a machine learning model using two decades of data to facilitate accurate fee estimation.
  • Led the development of innovative data acquisition methods, leveraging various NLP techniques to enhance accuracy and accelerate time-to-market for the offering.
  • Conducted in-depth analysis of client usage patterns within the Bloomberg terminal, examining time spent on products, and used insights to propose and conceptualize enhancements aimed at improving user experience and engagement.
NumPyNumPy
PandasPandas
Recurrent neural network
NLP
Machine LearningMachine Learning
2+

Senior Data Scientist/Engineer

Gweek (IP acquired)
Education
Jan 2018 - Feb 2019 · 1y 1m

  • Developed a real-time algorithm that correlates facial movement with speech analysis, achieving a significant milestone of acquiring 10,000 paid B2C customers and 25 B2B customers;

  • Led the development of models utilizing Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) in Python through Tensorflow, showcasing expertise in advanced machine learning techniques;

  • Spearheaded the deployment of these models on AWS using EC2, demonstrating proficiency in leveraging cloud computing infrastructure for scalable and efficient implementation;

  • Worked within the Robert Bosch Corporate Technology Lab B, contributing expertise to cutting-edge projects and enhancing the technological landscape of the organization.

NumPyNumPy
PandasPandas
R (programming language)R (programming language)
Recurrent neural network
NLP
Computer Vision

Research Associate

Robert Bosch Corporate Technology Lab
Automotive
Jan 2017 - Jan 2018 · 1y

  • As a Research Associate at the Robert Bosch Corporate Technology Lab in Bengaluru and Singapore from Jan 2017 to Jan 2018, developed a Semantic Retrieval system employing deep learning techniques. This innovation significantly enhanced autonomous driving capabilities, slashing model training time by an impressive 80%;

  • Pioneered the development of a semantic segmentation algorithm tailored for identifying Dry Eye Glands. This advancement enabled the implementation of models on Edge devices, optimizing their efficiency and functionality in real-time scenarios;

  • Contributed valuable expertise and research acumen to projects aimed at revolutionizing autonomous driving technology and medical image analysis, leveraging deep learning methodologies to push the boundaries of innovation within the field.

MatlabMatlab
Recurrent neural network
Computer Vision

Assessments

Engineering excellence

Paritosh’s overall performance in a 90-minute live technical assessment ranks in the top 5% of vetted Data Scientists at Proxify.

Education

UOC
University of California, Berkeley, Haas School of Business
Computer Science2017 - 2017
University of Oxford
University of Oxford
Computer Science2015 - 2016
IIO
Indraprastha Institute of Information Technology, Delhi
Computer Science2010 - 2014

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