Mahesh Chandra Mukkamala Email & Phone Number
Who is Mahesh Chandra Mukkamala? Overview
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Mahesh Chandra Mukkamala is listed as Data Scientist at QuantPi, a with 3 employees, based in Saarbrücken, Saarland, Germany. AeroLeads shows a matched LinkedIn profile for Mahesh Chandra Mukkamala.
Mahesh Chandra Mukkamala previously worked as Data Science Consultant / Freelancer at Quantpi and Data Science Consultant at Dualopt. Mahesh Chandra Mukkamala holds Master’S Degree, Computer Science from Universität Des Saarlandes.
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About Mahesh Chandra Mukkamala
I am Mahesh Chandra. My expertise lies in Data Analytics, Mathematical Optimization, Machine Learning and Applied Mathematics.I did my Phd in Mathematics, with specialization in Mathematical Optimization. I have mainly worked on Bregman Proximal Minimization methods for Non-convex Non-smooth Optimization problems arising in various real world applications. I have published in top conferences/journals like NeurIPS, ICML, ICLR, SSVM, SIMODS, JOGO. For more details, please see my google scholar profile at https://scholar.google.de/citations?user=aLrBW2QAAAAJ&hl=enPlease feel free to contact me if you would like discuss anything regarding Data Analytics, Optimization, and Applied Math.
Listed skills include Python, Machine Learning, Django, Linux, and 16 others.
Mahesh Chandra Mukkamala's current company
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Mahesh Chandra Mukkamala work experience
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Data Science Consultant / Freelancer
Data Science Consultant
Custom Data Analytics Solutions and Software Development
Phd Student
Phd Student
My research interests are Convex and Non-convex Optimization, Non-smooth analysis, Stochastic Optimization and Machine learning. I am currently working on developing general purpose algorithms for non-convex and non-smooth problems using the model function framework.My google scholar profile is at https://scholar.google.de/citations?user=aLrBW2QAAAAJI occasionally write updates on my research at https://mmahesh.github.io/
Research Assistant
I worked on various projects ranging from Multitask learning, Stochastic Convex Optimization, Optimization methods proposed in Deep learning. My master thesis "Variants of RMSProp and Adagrad with Logarithmic Regret Bounds" was to develop new scalable optimization algorithms for large scale machine learning problems, in particular deep networks. I want to explore various interesting research directions in particular, deep learning, online learning, optimization etc.
Teaching Assistant For Machine Learning Course
Core Developer And Co-Founder
Built the entire backend code (~250K LOC) from scratch, using the Pyramid web framework in Python 3.3. The technologies used are Twitter Bootstrap 3, AngularJS,AJAX, jQuery, Elastic Search, MySQL, Mako, SQLAlchemy, Alembic database migrations, Heroku, etc. Initial development was done in Django and Python2 by myself, after which I handled porting of thecodebase into Pyramid framework and Python3 due to performance reasons.
Summer Research Intern
Experimental: Observed Paramagnetic Meissner effect in type-II Nb superconductor and also synthesized the BI2212 High Temperature Superconductor. Theory: Introduced To Microscopic BCS theory, Verified the Paramagnetic Meissner Effect of pure Nb crystal through susceptibility measurements. Special study on Tunneling process between combinations of Normal Metals and Superconductor and studied the working mechanism of Josephson effect, its applications. Apparatus: CryoBind and Physical Property Measurement System(PPMS)Software: Origin Data Analysis and Graphing Software
Colleagues at QuantPi
Other employees you can reach at quantpi.com. View company contacts for 3 employees →
Sai Nikhil Menon
Colleague at QuantpiBerlin Metropolitan Area, Germany
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Andrei Tolstykh
Colleague at QuantpiSaarbrücken, Saarland, Germany
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Johanna Reinhardt
Colleague at QuantpiBerlin Metropolitan Area, Germany
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Artur Suleymanov
Colleague at QuantpiSaarbrücken, Saarland, Germany
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Max Schmitt
Colleague at QuantpiSt. Ingbert, Saarland, Germany
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Sujan Darai
Colleague at QuantpiBerlin, Germany
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Mikhail Buryakov
Colleague at QuantpiSaarbrücken, Saarland, Germany
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Denis Shvetsov
Colleague at QuantpiSaarbrücken, Saarland, Germany
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Matthias Schwalm
Colleague at QuantpiGreater Kassel Area, Germany
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Thuy Le
Colleague at QuantpiBerlin, Germany
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Mahesh Chandra Mukkamala education
Master’S Degree, Computer Science
Master’S Degree, Computer Science
Bachelor'S Degree, Electrical Engineering
Maths, Physics And Chemistry
Education record
Frequently asked questions about Mahesh Chandra Mukkamala
Quick answers generated from the profile data available on this page.
What company does Mahesh Chandra Mukkamala work for?
Mahesh Chandra Mukkamala works for QuantPi.
What is Mahesh Chandra Mukkamala's role at QuantPi?
Mahesh Chandra Mukkamala is listed as Data Scientist at QuantPi.
Where is Mahesh Chandra Mukkamala based?
Mahesh Chandra Mukkamala is based in Saarbrücken, Saarland, Germany while working with QuantPi.
What companies has Mahesh Chandra Mukkamala worked for?
Mahesh Chandra Mukkamala has worked for Quantpi, Dualopt, University Of Tuebingen, Universität Des Saarlandes, and Machine Learning Group, Saarland University.
Who are Mahesh Chandra Mukkamala's colleagues at QuantPi?
Mahesh Chandra Mukkamala's colleagues at QuantPi include Sai Nikhil Menon, Andrei Tolstykh, Johanna Reinhardt, Artur Suleymanov, and Max Schmitt.
How can I contact Mahesh Chandra Mukkamala?
You can use AeroLeads to view verified contact signals for Mahesh Chandra Mukkamala at QuantPi, including work email, phone, and LinkedIn data when available.
What schools did Mahesh Chandra Mukkamala attend?
Mahesh Chandra Mukkamala holds Master’S Degree, Computer Science from Universität Des Saarlandes.
What skills is Mahesh Chandra Mukkamala known for?
Mahesh Chandra Mukkamala is listed with skills including Python, Machine Learning, Django, Linux, Open Source, Git, R, and Neural Networks.
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