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概要
To work in a competitive environment that effectively utilizes my analytical, interpersonal, and organizational skills to conceive and achieve solutions. The solutions which help the organization in not only meeting its targets, but also allowing it to grow, thereby, enhancing my own skills as an individual and as a key player in the organization's development
项目
工作经历
Visiting lecturer
MS (cs) 2016-2018 the Computer Science UNIVERSITY OF AGRICULTURE, FAISALABAD 3.21/4 = 68.29%
BS (cs) 2011-2015 Computer Science COMSATS 2.92/4 = 74.47%
Projects ▼ Research MS (CS) Comparative analysis of SQL and NON-SQL in the context of Big Data.
MS (CS) I have worked in NoSQL Database Mongo DB and Performed Add, Delete, Update, Data Retrieve (CRUD) in Mongo DB
Working as an SEO plus content writer on two site and
May major responsibility
On page and off-page (SEO)
Writing Lecture o Sharing
Back linking Certification
▼ • I completed a short course in C++ programming at CITY Computer College. Jan 2013-Mar 2013
• I completed a short course on Spoken English in PICIT Lahore. Jun 2015-Sep 2015
• I completed a short course in Data warehouse and business intelligence dice analytics in Islamabad. OCT 2021- DEC2021
Experience ▼ Android development (AppGenii) as a paid intern. 6
Experience First semester currently I am working as a lecturer of computer science in GCUF affiliated college and I have taught the subject of compiler construction and introduction to computers in BSCS classes Moring and evening.
In the second semester, I have teaching subjects of the distributed database management system and Fundamental of Data Mining and computer organization and assembly language with the following outline mentioned on the last page.
Course Name: Distributed Database Systems
Course Outline: Introduction to Distributed Data Processing; Distributed DBMS Architecture; Distributed Database Design: Issues, Fragmentation and Allocation; Integrity Constraints, Distributed Query Processing; Query Decomposition and Data Localization; Query Optimization; Distributed Transaction Management and Concurrency Control;
Course Name: Fundamental of Data Mining
Course Outline: Data-Mining Concepts, Preparing the Data, Data Reduction, Learning From Data, Statistical Methods, Decision Trees and Decision Rules, Artificial Neural Networks, Ensemble Learning, Cluster Analysis, Association Rules, Web Mining and Text Mining, Data Mining Tools: Weka, CBA and Yale, etc.
Course Name: Compiler Construction
Course Outline: Compiler techniques and methodology. Organization of compilers. Lexical and syntax analysis. Parsing techniques. Object code generation and optimization, detection and recovery from errors. The contrast between compilers and interpreters
