Siddhant Mittal
Analytics Lead at Aspire- Claim this Profile
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Bio
Credentials
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Structuring Machine Learning Projects
CourseraJun, 2021- Oct, 2024 -
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
CourseraMay, 2021- Oct, 2024 -
Neural Networks and Deep Learning
CourseraMay, 2021- Oct, 2024 -
Python for Data Science and Machine Learning
UdemyJan, 2021- Oct, 2024
Experience
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Aspire
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Singapore
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Financial Services
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200 - 300 Employee
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Analytics Lead
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May 2022 - Present
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WinZO
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India
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Entertainment Providers
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100 - 200 Employee
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Data Scientist
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Sep 2021 - May 2022
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Agoda
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Singapore
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Software Development
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700 & Above Employee
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Senior Analyst
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May 2021 - Sep 2021
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BlackRock
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United States
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Financial Services
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700 & Above Employee
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Associate
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Jun 2018 - May 2021
Part of Financial Markets Advisory (FMA) Group for over last 2.5 years, supporting clients across range of services like Climate Risk, Capital Markets and Data & AnalyticsPrimarily working with financial datasets to build various tools for client as an end-to-end solution including data cleaning, imputation, predictive modelling and model validation Part of Financial Markets Advisory (FMA) Group for over last 2.5 years, supporting clients across range of services like Climate Risk, Capital Markets and Data & AnalyticsPrimarily working with financial datasets to build various tools for client as an end-to-end solution including data cleaning, imputation, predictive modelling and model validation
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EXL
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United States
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IT Services and IT Consulting
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700 & Above Employee
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Summer Intern
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May 2017 - Jul 2017
• Created an NLP Pipeline for information extraction from text and storing it into MongoDB• Extracted word frequencies, tf-idf and other typographical features to create a feature matrix• Applied ML techniques like SVM and Naïve-Bayes for boundary detection of documents• Achieved a 90% model precision in tagging boundaries of various documents within a text file • Created an NLP Pipeline for information extraction from text and storing it into MongoDB• Extracted word frequencies, tf-idf and other typographical features to create a feature matrix• Applied ML techniques like SVM and Naïve-Bayes for boundary detection of documents• Achieved a 90% model precision in tagging boundaries of various documents within a text file
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Techkriti, Indian Institute of Technology Kanpur
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India
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Non-profit Organizations
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100 - 200 Employee
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Manager, Design events
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Aug 2016 - Apr 2017
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Oil and Natural Gas Corporation Ltd
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India
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Oil and Gas
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700 & Above Employee
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Summer Intern
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Jun 2016 - Jul 2016
Formulated strategy for the effective utilization of the flare gas in an oil and gas plantDesigned a two stage gas ejector system with all the dimensions for the given problem statementCreated a mathematical model to optimize the conditions and presented the results to the committte Formulated strategy for the effective utilization of the flare gas in an oil and gas plantDesigned a two stage gas ejector system with all the dimensions for the given problem statementCreated a mathematical model to optimize the conditions and presented the results to the committte
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Education
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Indian Institute of Technology, Kanpur
Bachelor's degree, Chemical Engineering -
D.A.V. Public School