Ratan Singh Email and Phone Number
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Ratan Singh personal email
Graduate student at Georgia Tech specializing in Machine Learning and Computational Models with 4 years of experience in Software Development in Investment Bank. Skilled in Python with focus on Deep Learning using TensorFlow and KerasLanguages : Python, R, JavaML Tools : Keras, Scikit-Learn, NLTK, Tensorflow2 Big Data Framework : Hadoop, Spark, OozieDatabase : MySQL, MongoDB, InfluxDB, ElasticSearch
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Machine Learning Engineer - IiiApple Jan 2023 - PresentCupertino, California, Us -
Graduate Student ResearcherEmory University Sep 2021 - Dec 2022Atlanta, Ga, Us• Implemented Systems for Voice Activity Detection, Noise Reduction, Speaker Diarization and Source Separation of Speech Signals, Speech to Text Transcription under noisy environment• Working on Speech Signal Processing to extract features from user data • Writing services to monitor, data acquisition and control the multimodal distributed sensor network• Made scripts to assess the data quality of the sensors network and identify the malfunctioning sensors• Developing Software to process, visualize and analyze the Healthcare data at Clifford Lab , Emory University. Creating unified portal to monitor and control the Sensor Network through DashboardTechnologies Worked : Python, Pytorch, Bash, React, InfluxDB -
Ml InternApple May 2022 - Aug 2022Cupertino, California, Us -
Exempt Non Officer - IiiCredit Suisse Aug 2020 - Aug 2021Zurich, Ch• Redesigned and implemented a multithreaded Credit Risk Calculation Engine providing Credit Risk Assessment of Wrong Way Risk Trades• Developed API server and a responsive and secured UI to monitor and control the end-to-end data flow, rebooting of computing clusters of Kafka and Hazelcast and fault detection mechanism in the calculation engine• Developed Issuer Linking methodology to produce recommendation for missing data and thereby improving the data qualityTechnologies Worked on : Python, Bootstrap, JavaScript, Unix, ElasticSearch, Sybase IQ, C++ -
Exempt Non Officer - IiCredit Suisse Aug 2019 - Aug 2020Zurich, Ch• Designed a quantitative model to benchmark the risk associated with loans against the bonds with statistically matching profiles and generated the risk profile replacing the current methodology of the flat curve across the months• Implemented the Wrong Way Risk Calculation Framework for FINMA and PRA• Developed Risk Weighted Asset Service to assess the risk associated with trades in stressed scenarios.Technologies Worked on : Python, Java, C++, Sybase IQ, Unix -
Analyst - IiCredit Suisse Aug 2018 - Aug 2019Zurich, Ch• Designed and implemented firm's internal chatbot framework SMEBot using NLP and deep learning techniques• Implemented the Intent classifications and callbacks with ensemble of Word2Vec, GloVe, ElMo, ULMFit and BERT for dense representation of words and context capturing.• Used Deep Learning based model QANet to produce the concise answer to the user queries.Technologies Worked: Python, Keras, Scikit-Learn, NLTK, Spacy, BERT, Unix -
Analyst - ICredit Suisse Jul 2017 - Aug 2018Zurich, Ch• Worked in International Wealth Management (IWM) department to design and implement the product solutions for EMEA markets.• Created PoCs to automate the process of manual testing and SQL query generation.• Worked with consortium of European banks to create a solution to Digital Regulatory Reporting (DRR) which was accepted Financial Control Authority (FCA), UKTechnologies Worked : .NET Framework, Python, R3 CORDA, React -
Technical ReviewerPackt Apr 2019 - Aug 2021Birmingham, England, GbFollowing are the books which I worked on and they can be found over the amazon:• The Supervised Learning Workshop• The Unsupervised Learning Workshop• The Python Workshop • The Data Wrangling Workshop• The Pandas Workshop -
Assistant ResearcherCenter Of Excellence - Complex Nonlinear Dynamical Systems May 2016 - Nov 2018
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Information Technology InternCredit Suisse Jun 2016 - Jul 2016Zurich, Ch -
Research InternCenter Of Excellence - Complex Nonlinear Dynamical Systems May 2016 - Jun 2016• Worked on the mathematical modelling of the Merritt Coil and Helmholtz coil system using Taylor Series Expansion and Legendre polynomials. • Designed a physical Merritt cage system and verified the theoretical results with practical ones which were in close agreement.
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Data Analytics InternCenter Of Excellence - Complex Nonlinear Dynamical Systems Nov 2015 - Dec 2015• Developed an algorithm based on Anomaly detection using the Gaussian probabilistic framework to predict the posterior probability that an inverter will undergo failure by observing various parameters of the inverter. • Used Ridge Regression to predict the time after which the inverter which is likely to undergo the failure will actually fail.
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Data Analytics InternCenter Of Excellence - Complex Nonlinear Dynamical System Jun 2015 - Jul 2015• Project involved analysis of daily power consumption of household devices for two years of a city. An algorithm was designed for the Load Segregation, next day electric load prediction and the electricity cost optimization using the K-nearest neighbor algorithm and Ordinary Least Square Regression (OLS). • Time series of modelling was done using the ARIMA model. An efficiency of 75% was obtained on test dataset.
Ratan Singh Skills
Ratan Singh Education Details
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Georgia Institute Of TechnologyElectrical And Computer Engineering -
Veermata Jijabai Technological Institute (Vjti)Electronics And Communications Engineering
Frequently Asked Questions about Ratan Singh
What company does Ratan Singh work for?
Ratan Singh works for Apple
What is Ratan Singh's role at the current company?
Ratan Singh's current role is ML Engineer @ Apple | MS ECE @ Georgia Tech | Ex ML Engineer @ Credit Suisse.
What is Ratan Singh's email address?
Ratan Singh's email address is ra****@****ory.edu
What schools did Ratan Singh attend?
Ratan Singh attended Georgia Institute Of Technology, Veermata Jijabai Technological Institute (Vjti).
What skills is Ratan Singh known for?
Ratan Singh has skills like Matlab, Research, Big Data Analytics, Machine Learning, Strong Electromagnetic Fields Interactions, Mathematical Modeling, Team Management, R.
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