Miranda M. Profile

0,0

(0 ulasan)

Sekarang Anda mengikuti

Kesalahan mengikuti pengguna.

Pengguna ini tidak mengizinkan pengguna mengikuti dia.

Anda sudah mengikuti pengguna ini.

Paket keanggotaan Anda hanya boleh punya 0 follow. Tingkatkan di sini.

Berhasil berhenti mengikuti

Kesalahan mengikuti pengguna.

Anda telah berhasil merekomendasikan

Kesalahan merekomendasikan pengguna.

Ada sesuatu yang salah. Silakan muat ulang halaman dan coba lagi.

Email berhasil diverifikasi.

$35 USD / jam

tbilisi,

georgia

$35 USD / jam

Saat ini 4:24 PM di sini

Bergabung April 11, 2019

0 Rekomendasi

Miranda M.

@miranda880424

0,0

(0 ulasan)

0,0

$35 USD / jam

tbilisi,

georgia

$35 USD / jam

N/A

Pekerjaan Selesai

N/A

Sesuai Anggaran

N/A

Tepat Waktu

N/A

Tingkat Rekrut Ulang

Machine Learning Engineer

After working on many different projects in many languages, I decided to focus on the most interesting field for me that is Machine Learning, using the language that I just love, Python. There are many challenging problems that can be solved by ML and that is what gives me passion and interest to work in that field and constantly developing myself as a Machine Learning Engineer. Here is my skillset - Python, Flask, Django - Angular, Vuejs, Reactjs - Tensorflow, Pytorch - OpenCV, OpenGL - Machine learning, Deep learning - Scikit-learn, Scikit-image, Keras

Lihat semua C Programmers in Georgia

Hubungi Miranda M. mengenai pekerjaan Anda

Portofolio

Cryptocurrency trading bot

Gesture Recognition system based on Machine Learning (ML) techniques.

Recognized dynamic hand gestures registered with an RGB camera.

Can be implemented as a control interface in Augmented Reality (AR) glasses.

After training the model for several times, I finally found out that such combination (CPMs + Random Forest + YOLO) resulted in an effective solution for detecting all of the desired dynamic gesture classes

Dynamic Hand Gesture Recognition

Trained the deep neural networks on the average future PUE

Trained two additional ensembles of deep neural networks to predict the future temperature and pressure of the pumps over the next hour.

Simulate the recommended actions from the PUE model, to ensure that we do not go beyond any operating constraints.

Build Smart Factories

Cryptocurrency trading bot

Dynamic Hand Gesture Recognition

Build Smart Factories

Ulasan

Perubahan tersimpan

Tidak ada ulasan terlihat di sini!

Pengalaman

SmartPlants

Agu 2015 - Mar 2019 (3 tahun, 7 bulan)

Conduct data regression analyses of the relationship between company stock prices and industry trends, achieving a 15% more accurate prediction of performance than previous years Responsible for detecting outliers from time-series data Used Deep Learning models for detecting hand-gestures. Developed object-detection and emotion recognition system using CNN

Mindojo

Jun 2013 - Jan 2015 (1 tahun, 7 bulan)

Responsible for designing and maintaining a course recommendation system that uses both content-based and collaborative-filtering approaches Constructed a language model to accomplish the Named Entity Recognition Analyzed the positive/negative sentiment for each given sentence Developed & tested hashtag generation system

OpenIAM

Jun 2011 - Mar 2013 (1 tahun, 9 bulan)

Utilize web scraping techniques to extract and organize competitor data Improved data mining processes, resulting in a 20% decrease in time needed to infer insights from customer data used to develop marketing strategies Used predictive analytics such as machine learning and data mining techniques to forecast company sales of new products with a 95% accuracy rate Developed Intruder detection system