Ratan Singh

Ratan Singh Email and Phone Number

ML Engineer @ Apple | MS ECE @ Georgia Tech | Ex ML Engineer @ Credit Suisse @ Apple
Ratan Singh's Location
New York, New York, United States, United States
Ratan Singh's Contact Details

Ratan Singh personal email

n/a
About Ratan Singh

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

Ratan Singh's Current Company Details
Apple

Apple

View
ML Engineer @ Apple | MS ECE @ Georgia Tech | Ex ML Engineer @ Credit Suisse
Ratan Singh Work Experience Details
  • Apple
    Machine Learning Engineer - Iii
    Apple Jan 2023 - Present
    Cupertino, California, Us
  • Emory University
    Graduate Student Researcher
    Emory University Sep 2021 - Dec 2022
    Atlanta, 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
  • Apple
    Ml Intern
    Apple May 2022 - Aug 2022
    Cupertino, California, Us
  • Credit Suisse
    Exempt Non Officer - Iii
    Credit Suisse Aug 2020 - Aug 2021
    Zurich, 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++
  • Credit Suisse
    Exempt Non Officer - Ii
    Credit Suisse Aug 2019 - Aug 2020
    Zurich, 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
  • Credit Suisse
    Analyst - Ii
    Credit Suisse Aug 2018 - Aug 2019
    Zurich, 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
  • Credit Suisse
    Analyst - I
    Credit Suisse Jul 2017 - Aug 2018
    Zurich, 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
  • Packt
    Technical Reviewer
    Packt Apr 2019 - Aug 2021
    Birmingham, England, Gb
    Following 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
  • Center Of Excellence - Complex Nonlinear Dynamical Systems
    Assistant Researcher
    Center Of Excellence - Complex Nonlinear Dynamical Systems May 2016 - Nov 2018
  • Credit Suisse
    Information Technology Intern
    Credit Suisse Jun 2016 - Jul 2016
    Zurich, Ch
  • Center Of Excellence -  Complex Nonlinear Dynamical Systems
    Research Intern
    Center 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.
  • Center Of Excellence - Complex Nonlinear Dynamical Systems
    Data Analytics Intern
    Center 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.
  • Center Of Excellence - Complex Nonlinear Dynamical System
    Data Analytics Intern
    Center 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

Matlab Research Big Data Analytics Machine Learning Strong Electromagnetic Fields Interactions Mathematical Modeling Team Management R

Ratan Singh Education Details

  • Georgia Institute Of Technology
    Georgia Institute Of Technology
    Electrical And Computer Engineering
  • Veermata Jijabai Technological Institute (Vjti)
    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.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.