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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 10 years
- MySQL 8 years
- PyTorch 5 years
Other skills
- Hadoop 4 years
- Matlab 2 years
- R (programming language) 2 years
Selected experience
Employment
Senior Data Scientist
Petroineos Trading Limited - 2 years 7 months
- 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.
Technologies:
- Technologies:
- Data Science
NumPy
Pandas
- Recurrent neural network
- NLP
Machine Learning
Plotly
Senior Data Scientist/Engineer
Elan Capital Management - 1 year 6 months
- 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.
Technologies:
- Technologies:
- Data Science
-
Pandas
- NLP
-
Machine Learning
-
Plotly
Data Scientist
Bloomberg - 2 years 4 months
- 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.
Technologies:
- Technologies:
-
NumPy
-
Pandas
- Recurrent neural network
- NLP
-
Machine Learning
Hadoop
-
Plotly
Senior Data Scientist/Engineer
Gweek (IP acquired) - 1 year 1 month
-
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.
Technologies:
- Technologies:
-
NumPy
-
Pandas
R (programming language)
- Recurrent neural network
- NLP
- Computer Vision
-
Research Associate
Robert Bosch Corporate Technology Lab - 1 year
-
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.
Technologies:
- Technologies:
Matlab
- Recurrent neural network
- Computer Vision
-
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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