Technical / Functional Skills :
● Programming :-
1. Python
2. PHP (Codeigniter, Laravel, Cakephp 3)
● Deep Learning :- Neural Network (keras, tensor
flow).
● Machine Learning :- Scikit-Learn.
● Predictive Modeling :- Data Mining , EDA,
Forecasting , ARIMA, Stats Models, RFM-Recency
Frequency, Monetary.
● Database :- Mysql, Neo4j Graph Database,
MongoDB, BigQuery DB.
● Bug Tracking Tool :- Mantis Bug Tracker.
● Workspace :- Anaconda, LAMP, Windows,
Google Cloud Platform.
● NLP (Natural language processing) :- NLTK,
SPACY, Regex.
● Apache:- Apache Kafka, PySpark.
● Data Science courses :-
1. Udacity - Intro to machine learning
by Sebastian Thrun and Katie
Malone.
2. Udemy - Python for data science
and machine learning - Jose Portilla.
3. CS231N Stanford university -
Convolutional Neural Networks for
Visual Recognition.
4. Udemy NLP - Natural language
processing by Jose Portilla
● Practicing :- Kaggle Projects
● Frontend :- Bootstrap, HTML, CSS,
AJAX, JQuery.
● Version Control :- SVN, GIT.