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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.
Principale expertise
- Python 10 ans
- MySQL 8 ans
- PyTorch 5 ans
Autres compétences
- Hadoop 4 ans
- Matlab 2 ans
- R (programming language) 2 ans
Expérience sélectionnée
Emploi
Senior Data Scientist
Petroineos Trading Limited - 1 an 8 mois
- 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.
Les technologies:
- Les technologies:
Python
- Data Science
Machine Learning
Azure
- NLP
Apache Kafka
ChatGPT API
- Recurrent neural network
NumPy
Pandas
Plotly
- Data Engineering
Senior Data Scientist/Engineer
Elan Capital Management - 1 an 6 mois
- 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.
Les technologies:
- Les technologies:
-
Python
- Data Science
-
Machine Learning
AWS
- NLP
-
Pandas
-
Plotly
- Data Engineering
Data Scientist
Bloomberg - 2 années 4 mois
- 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.
Les technologies:
- Les technologies:
-
Python
-
Machine Learning
-
AWS
- NLP
Hadoop
-
Apache Kafka
- Recurrent neural network
-
NumPy
-
Pandas
-
Plotly
- Data Engineering
Éducation
FormationComputer Science
University of California, Berkeley, Haas School of Business · 2017 - 2017
Maîtrise ès sciencesComputer Science
University of Oxford · 2015 - 2016
License ès sciencesComputer Science
Indraprastha Institute of Information Technology, Delhi · 2010 - 2014
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