Изображение профиля mza5ab8dc9be9a8c
@mza5ab8dc9be9a8c
На сайте с 26 марта 2018 г.
3 Рекомендации

mza5ab8dc9be9a8c

В сети Офлайн
Thanks for being here on my profile! ✅ I have 8+ years of experience. I want to serve you with my skills and I am sure you will be satisfied. I have been working on the following projects: ✅ Classification ✅ Regression ✅ Clustering ✅ Dimensionality Reduction ✅ Prediction ✅ Recognition ✅ Time Series Forecasting ✅ Recommender Systems ✅ Sentiment Analysis ✅ NLP(Natural Language Processing) ✅ Big Data Visualisation ✅ Data Mining ✅ Data Analysis ✅ Data warehousing ✅ Data Modelling ✅ So on. . . ✅ I would like to work for all kinds of Deep Learning/Machine Learning/Artificial Intelligence/Data Science projects.
$50 USD/hr
76 отзыва(-ов)
5.7
  • 95%Выполненные работы
  • 91%В рамках бюджета
  • 93%Своевременность
  • 25%Рейтинг повторного найма

Элементы портфолио

Последние отзывы

  • изображение Jason C. Detect DDoS attack $150.00 AUD

    “Muhammad is the real professional in Python and Machine Learning. I will definitely work with him again in next project.”

  • изображение Tomer M. NLP sentiment analysis with Doc2Vec $140.00 USD

    “Muhammad was very communicative, patient and easy to work with. He was very professional, and related to all the detailed requirements. He related to deadlines appropriatly and made the effort to work within the timeframes. The outcome was also very professional. Would definitley work with again!”

  • изображение M A. Project for Muhammad Imran Z. -- 3 $400.00 USD

    “Excellent service in all aspects of project. he is smart and professional , he is the best NLP freelancer. we will. work together again”

  • изображение Bobby L. Project for Muhammad Imran Z. ₹2000.00 INR

    “he is very much educated and knowledgable i am waiting to work with him again and again”

  • изображение Ben B. A.I Machine Learning Project $120.00 AUD

    “Great Work professional easy to deal with and creates step by step tutorial that are clear.”

  • изображение M A. Project for Muhammad Imran Z. $400.00 USD

    “he is really professional and good , i will hire him again .”

Опыт работы

Data Analyst

Mar 2016

I'm working on large amounts of data: facts, figures, and number crunching. I see through the data and analyze it to find conclusions. I present data findings and translate the data into an understandable document. I look at the numbers, trends, and data and come to new conclusions based on the findings.

Machine Learning Engineer

Mar 2015

Study and transform data science prototypes Design machine learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field

Web Developer

Feb 2013 - Mar 2015 (2 years)

I worked as a web developer(.NET).

Образование

MSCS (MPhil Computer Science)

2015 - 2017 (2 years)

MCS (Master in Computer Science)

2013 - 2015 (2 years)

BCS (Bachelors in Computer Science)

2010 - 2012 (2 years)

Квалификация

MS Office (MS Word, MS Excel, MS Power Point) (2018)

Microsoft

I have MS Office (MS Word, MS Excel, MS PowerPoint) certificates.

Advanced Machine Learning Specialization (2016)

Coursera

I covered advance topics of machine learning with the state of art techniques.

Deep Learning Specialization (2017)

Coursera

I covered advanced topics in deep learning with a different state of the art architecture (Mask RCNN, YOLO, SSD and Siamese networks etc).

Публикации

Identification of Sentence Boundary from Ambiguous Text

We have observed and tested previous work of many researchers who applied different techniques and algorithms (Feed-forward, maximum entropy, convolutional neural networks, and rule-based classification) for this task and got different accuracy percentage on various corpora. In this paper, we disambiguate the sentence boundary by applying the maximum entropy method and stop words removal. By implementation of these methods, we got 99% results on a brown corpus which contained on 52000 sentences.

Сертификаты

  • Preferred Freelancer Program SLA
    97%
  • Python Level 2
    90%
  • Python Level 1
    82%
  • Python Level 3
    82%
  • US English Level 1
    77%

Верификации

  • Соединить с Facebook
  • Предпочтительный фрилансер
  • Оплата подтверждена
  • Телефон подтверждён
  • Личность подтверждена
  • Электронный адрес подтвержден

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