Curriculum Vitae

Ovais Ikhlas

R-*** Block **-A Buffer zone, Karachi

Cell#030*-******* E-mail:admpnu@r.postjobfree.com

Sex: Male

Marital status: Married

Born: 02/06/1984

CAREER OBJECTIVE

To secure a supervisor position in an organization which seeks employees for growth and career. WORK EXPERIENCE

Nov2010-present Support Engineer: National Institutional Facilitation Technology (PVT) ltd. Responsible for supporting the company's clients at all levels as part of a helpdesk team. Ensuring that all hardware and software is configured and installed correctly. DUTIES:

Supporting users and networks over the telephone and by email.

Responsible for networking, design, installation and maintenance services.

Networking and providing support for Windows.

Configuration and testing of any new hardware and software.

Travelling to client sites to help with installs, deployment, and troubleshooting.

Management of the daily data backup and retrieval scheme.

Installing and operating Windows desktop and server operating systems.

TCP/IP networking and hardware maintenance and repair.

Training new employees.

Assistance with training of staff and compiling procedural documentation.

Assisting the network manager with support requests.

Ensure computer hardware is safe & complies with health and safety legislation.

Applying patches in accordance with company procedures.

Configure e-mails account through outlook and connected with domain

Oracle support

EXPERIENTIAL LEARING INTERNSHIP PROGRAM:

Siemens Enterprise Communication (Pvt) Ltd.

Project Tile:-Private Automated Branch Exchange

Duration:-3 Month

Curriculum Vitae

ACADEMIC QUALIFICATION

Qualification Board/University Year Percentage/CGPA B-Tech(Hons)Electronics

Dadabhouy Institute of

Higher Education

2011- 2013

3.08

B-Tech(Pass)Electronics

Dadabhouy Institute of

Higher Education 2008-2011

2.7

Diploma in Electronics

Aligarh Institute of

Technology 2005-2008

1st Division

High School National High School 2001 58.7

SHORT COURSES

C Language for Engineer PAF-KIET March 2013 to April 2013 Oracle (Developer) Track Orasoft Training Institute Oct 21, 2014 to Feb 07, 2015 Oracle Database 11g: SQL Fundamentals I

RDBMS Concepts

Introduction to Oracle RDBMS

Using Oracle 11g: Sql*Plus

Application Development Using Oracle 11g: Developer Suite

Oracle Database 11g: Program with PL/SQL

Oracle 11g: Forms (Fusion Middleware)

Oracle 11g: Reports

Project Development

Summit Goods Inventory System

Oracle Application Development (ADF) 12c MeteorTechs Consulting and Training Sep-17 to Nov-17 COMPUTER SKILLS

Working knowledge of MS Word,MS Excel & MS Outlook PERSONAL SKILLS

Patient and friendly pleasing personality,

Good mannerism coupled with good communication skill

Desire to be of service to other make me get along exceedingly well with people COMMUNICATION SKILLS

Urdu: Excellent (Speak / Read / Write)

English: Good (Speak / Read / Write)

Curriculum Vitae

DataScience Course: Synergic DataTech JUN-20 to DEC-20 Ignite Data Scientist (Level 1)

Python & its libraries for Data Sciences and three (3) Capstone Projects using tools. Objectives:

Python programming for Data Science and develop deep understanding of most popular Python’s libraries for Data Science i.e. NumPy and Pandas on real datasets.

Learning Contents:

1. Analysis with Python

a) Python Algorithms

b) Containers and its Data Types

c) Data Structures & Loops

d) Conditional Statements

e) Frequency Tables

f) Commands and Functions

Capstone Project: Profitable App

2. Data Cleaning and Time Series Analysis

a) Data Wrangling and Analysis

b) Working with Time Series

Capstone Project: Exploring Hacker News

3. Data Analysis with NumPy and Pandas

a) NumPy’s Explorations

b) Pandas’ Aggregations

c) Exploring Data with Pandas

d) Data Munging with Pandas

Capstone Project: Exploring eBay

Creative Data Scientist (Level 2)

R Programming for Data Sciences and Visualization using Python libraries. Two (2) Capstone Projects. Objectives:

R programming and Exploratory Data Visualization (EDA) to explore datasets that help us uncover patterns. Learning Contents:

1. Analysis with R

a) Programming in R

b) Working with R Vectors

c) Handling R Matrices

d) Manipulation with R Lists

e) Analysis with R Data Frames

2. EDA

a) Stats using Line Charts & Multiple plots

b) Finding pattern using Bar Plots

c) Identifying relationship of a distributions using Scatter Plots d) Dealing with class limits using Histograms

e) Understanding percentiles using Box Plots

Capstone Project: Earnings Based on College Majors Curriculum Vitae

3. Advanced EDA

a) Improving Plot Aesthetics, Color, Layout, and Annotations b) Conditional Plots using shipping tensor

c) Visualizing Geographic Data using air fleet matrices Capstone Project: The Gender Gap

Manipulative Data Scientist (Level 3)

Advanced Pandas and Artificial Intelligence using Unsupervised Machine Learning. Objectives:

Advanced data wrangling and munging techniques including Artificial Intelligence. Most datasets in real life require extensive cleaning and manipulation to extract any meaningful insights. In fact, Forbes estimates that data scientists spend about 60% of their time cleaning and organizing data, so it's critical to be able to manipulate data quickly and efficiently.

Learning Contents:

1. Data Munging

a) Data Aggregation

b) Data Merging and Concatenation

c) Transforming Data and Dummies

d) Strings Manipulation

e) Dealing with Duplicate Data

Capstone Project: Analyze Employee Exit

2. Advanced Data Munging

a) Regular Expression

b) Advance Regular Expression

c) List Comprehensions

d) Lambda Functions

e) Handling Missing Data

3. Unsupervised Machine Learning

a) Clustering

b) K-means clustering

Projective Data Scientist (Level 4)

A complete data science project, including how to acquire the raw data.focus on exploring and analyzing a data set which will enable us to build complete projects on our own. Objectives:

We'll focus primarily on data exploration and combine several messy data sets into a single clean one to make analysis easier. We'll also perform the actual analysis. Learning Contents:

1. Data Analysis Projects

a) Project on Data Wrangling

b) Project on Data Transformation

Curriculum Vitae

c) Project on Analyzing and Visualizing the Data

d) Data Munging Challenge

Capstone Project: Analyzing New York City Data

Capstone Project: Star Wars Analysis

2. Business Analysis

a) Fuzzy Language in Data Science

b) Results’ communication

c) Business Metrics

Capstone Project: Popular Data Science Questions

3. Project with R

Capstone Project: Analyzing COVID-19 Virus Trends

Extractive Data Scientist (Level 5)

Querying Database Management System (DBMS) including SQLITE 3 and PostgreSQL. Objectives:

SQL is one of the most popular technologies used by Data Scientists. Our objective is to explore and analyze data in SQL through hands-on.

Learning Contents:

1. Analysis using Database

a) Working with SQL

b) Summary Statistics

c) Group Summary Statistics

d) Subqueries

e) Joining Data

f) Intermediate Joins

g) Building and Organizing Complex Queries

h) Table Relations and Normalization

i) Querying SQLite from Python

j) Using PostgreSQL

k) Command line PostgreSQL

l) Indexing

m) Multi-column indexing

Capstone Project: Analyzing CIA Factbook

Capstone Project: Analyze and answer Business Questions 2. Command Line

a) Working with Command Line

b) Exploring Filesystem

c) Modifying the Filesystem

d) Glob Patterns and Wildcards

e) Users and Permissions

REFRENCES

Available on request

Contact this candidate