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£50/h
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Lessons offered by Reza
  • Individual
  • In group
The lessons will be held
  • at your home
  • By webcam
Taught subjects
  • C
  • C++
  • Programming languages
  • Python
  • Artificial Intelligence
  • C#
Levels
  • All Levels

Master in BigData and Artificial Inteligence C, C++ , Python, Java, Kotlin, Fluter London, Online

Methodology

steps :
1- Chang the way you think in solving a problem
2- Using examples of daily life problems for understanding of peograming, even human walking is a programe in our mind(in this step you will know how to bring your mind on a paper).
3-learning syntax
4- ...

Experience

20 years being programmer almost in all languages(C, C++ , Python, Java, Kotlin, Fluter ) and teaching people around me, I have decid to start teaching professionally as I love to pass my experiences to new generation. I have already helped many student to be working in software industres.

Rates

Transportation Fee : £20
Rate for online lessons : £50/h
Rate for 5 hours of lessons : £200
Rate for 10 hours of lessons : £300
Lessons offered by Reza
Individual
In group
The lessons will be held
at your home
webcam
Taught subjects
  • C
  • C++
  • Programming languages
  • Python
  • Artificial Intelligence
  • C#
Levels
  • All Levels

Reza's CV

 Programming ( OOP / Script ) Python , C , C #, C ++, Kotlin , Java , Dart .
 AI / ML Algorithms and Architecture ( CNN , RNN , LSTM, DBN , BNN , RBM, NMF , MNMF , Auto -
Encoder , Binarized Neural Network ( BNN ), NLP , AI / ML / Statistical Algorithms : K - means , mean
shift , KNN , SVM , Decision Trees , SSD , ARIMA , Hill climbing , Local Search and Genetic algorithms ,
Bagging and Boosting , Random Forest , Time Series Algorithms ( Autoregression ( AR ) Moving
Average ( MA ) Autoregressive Moving Average ( ARMA ) Autoregressive Integrated Moving
Average ( ARIMA ) Seasonal Autoregressive Integrated Moving - Average ( SARIMA ) Seasonal
Autoregressive Integrated Moving - Average with Exogenous Regressors ( SARIMAX ) Vector
Autoregression ( VAR ) Vector Autoregression Moving - Average ( VARMA ) Vector Autoregression
Moving - Average with Exogenous Regressors ( VARMAX ) Simple Exponential Smoothing ( SES )
Holt Winter’s Exponential Smoothing ( HWES ), Regime regime shift models .
 Native / Cross platform Mobile Programming ( Java , Flutter , FireBase )
 Database / Filesystem ( MS SQL , MySQL , MongoDB , Hadoop , Hive , Cassandra , Firebase ),
Ability to Design and script complex queries relational and non - relational databases ,
Consolidate , validate and cleanse data from a vast range of sources .
 Libraries , Boost ( C ++), Tensorflow , Theano , SciKit - Learn , Keras , NLTK , Scrapy , SciPy , Numpy ,
Pandas , Matplotlib , Seaborn , Bokeh , cv 2, Ploty .
 Computer Vision , Image Processing : CNN , FCNN , RCNN , RFCNN , Mask RCNN , Faster RCNN ,
SSD , SSD +.
 Environment Windows , Linux , Google Colab , Notebook Jupiter , Visual studio , Git ,
Gradle , Groovy , Condor , CMake , Bazel , IntelliJ , Android studio , Asp . Ne
 Data Mining ( Design & Analysis, Statistical Computing, Quantitative Methods ,
Regression Analysis , Data Technologies/ Visualization / Structures )AI / ML Engineer / Data Analyst , ( Nemov Ltd : 2018-2019): NEMOV is a consultancy
helping its clients to design , create and implement their products and extract pattern and true
value from their data to make strategic decisions with confidence .
Consulted with business partners , implemented solutions and made recommendations to improve
the effectiveness of Big Data systems , descriptive analytics systems , and prescriptive analytics
systems . Integrated new tools and developed technology frameworks / prototypes in Python ,
Tensorflow and C / C ++/ C # to accelerate the data integration process and empower the deployment
of predictive analytics .
Designed and Implemented an advance image recognition and product tracking with python ,
Tensorflow and OpenCV using distortion , image rectification , colour transforms , gradient
thresholding and OCR . Enhanced the pipeline with Keras using a state - of - the - art deep learning
architecture that is both extremely accurate and lean . Optimized the model overcoming 400,000
different part of pictures of a manufacture product .
Designed and Implemented a recommendation system that uses content - based , collaborative -
filtering approaches and sentiment analysis using Python , Tensorflow , NLTK .
Forex Data Analyst / C , C ++, C #, ASP . net , SQL Developer ( LC 4 Ltd 2009-2017):
Developed and implemented a Machine Learning technique with focus on extremely noisy data for
pattern recognition and predicting long term behaviour of major Forex pairs . This was achieved by
live data mining of 10 years historical data on cluster by creating multiple indices .
As well as the historical data mining also developed a sentimental analysis algorithm to consume
live data and news from major financial and social media sources . Final prediction was achieved by
introducing randomization through boosting of forecasts from both news and historical data
mining .
VOIP , C , C ++, C #, ASP . net , SQL Developer ( Telegom . com 2003-2009 ): Developing
Telegom . com , Telehom . com on ASP . Net for front - end and C #, SQL - server for backend using Asterisk
which was the leading open source software for VOIP . Providing major VOIP services such as voice
to Email , number forwarding , Fax to Email , IP Phones , DID numbers , long distance telephone calls ,
managing several ISP projects , responsible for building and leading teams of designers and
developers for the projects and services . The main service of Neganet was VOIP service to
customer ( B 2 C ) and providing service for other VOIP companies ( B 2 B ) outside ( Termination ). Using
SER ( OpenSIPS ), modified Asterisk for VOIP servers such as soft - switch , PBX , modified FreeRADIUS
for accounting , MySQL for storing Data and C ++/ PHP for respective connection . I started this
company to bring the cost of long distance down . VOIP in those days was very new industry .UK - M . Sc . Big Data & AI University of Stirling 2017 – 2018 ( Distinction ): As an AI / ML ,
Big Data Researcher and Python Developer I did my thesis on Non - Negative Matrix Factorization
( NMF ) for compressing data and classification objects in pictures by extracting features . Having
many years of developing experience and personal interest I became involved in large number of
PHD projects detection of intrusion using AI ( LSTM - CNN ) to more complex projects such as
producing clear voice of human in noisy area by combining voice recognition and visual processing
for lips reading and improving it by receiving help from NLP .
B . Sc . Computer Hardware Azad University (15.1 / 20): I did my thesis on centralised
controlling of traffic lights by making them intelligent during various time of the day ; it was a
valuable experience as it gave me exposure toward microcontrollers such as Z 80 with Assembly
and Borland C / C ++.
Interests
I enjoy rock climbing , playing football and I also closely follow financial markets .

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