Hello! I'm Muhammad AbdulKayyum
I am Muhammad Abdulkayyum, a data analyst with programming experience in software development. I have 13 years of experience in software application development with PL/SQL, Python and C++. Along with coding skills, I participated in Analysis, design, development and testing.
I have always been fascinated by the power of data to drive business decisions, and I am eager to apply my technical expertise to data analytics. I carried hands-on experience in data analysis and visualisation techniques in Tableau, Python and Excel in my certification.
As I transition into data analytics, I am excited to build upon my existing skills and learn new ones. I want to become a (senior) data analyst in Munich and advance my profession by getting a permanent job.
Muhammad AbdulKayyum Muttaki
DATA ANALYST
Phone:
+49 178 7809 789
Email:
Address:
Munich 81735
EXPERIENCE
04/2018 - 08/2022
Software Engineer
SOGETI - Munich, Germany
-
Participated with the Data Engineering team to create a data pipeline from various sources.
-
Involved in implementing unit test framework to improve the quality of software.
-
Worked with the DevOps team to create an SSO platform to provide login authentication on various tools.
09/2015 - 09/2017
Capgemini - Bangalore, India
Technical Lead
-
Worked at the client location for medical device manufacturing as a C++ programmer.
-
Participated as a software developer to resolve quality issues by coordinating with various stakeholders.
-
Validated the risk and quality checks by executing test cases and running automation on the devices.
-
Updating the test documents for code changes. Coordinating with domain experts for code and document reviews
09/2015 - 09/2017
Senior Software Engineer
Tecnotree - Bangalore, India
-
Writing PL/SQL API and supporting the application's business logic.
-
Code maintenance of the C++ in the SDP platform of Telecom.
-
Proactively participated with the architects, testers and subordinates by documenting the module design.
-
Executed unit and system test checks by ensuring 95% of the code coverage
06/2007 - 07/2010
Software Engineer
Tecnotree - Bangalore, India
-
Developing PL/SQL APIs to support business logic.
-
Module development using C++ language on the Linux platform, Unit, regression, and functional testing to achieve a maximum stable system
EDUCATION
2004 -2007
Master's Degree
Bangalore University
Completed Masters in Computer Applications
2001 -2004
Bachelor's Degree
DHARWARD UNIVERSITY
Bachelors in Computer Application
CERTIFICATION
01/2023-0/2023
CareerFoundry
DATA ANALYST
Completed Data Analyst Immersion Certification from CareerFoundry. Berlin.
​
Skills: · SQL · PostgreSQL · Data Analysis · Python (Data Analysis & Visualisation) · Microsoft Excel · Data Visualization · Tableau
04/2022
SCRUM MASTER
Certified ScrumMaster (CSM) from Scrum Alliance
SKILLS
Programming - PL/SQL, Python, C++11
Tools: Jira, Collaborator, Confluence, VS Code, Eclipse
Data Analytics - Tableau, Python and Excel, PostgreSQL, SQL
Configuration Management: Tortoise SVN, IBM ClearCase, Git
Testing: Unit and system testing
I have always been fascinated by the power of data to drive business decisions, and I am eager to apply my technical expertise to data analytics. I carried practical experience in data analysis and visualisation techniques in Tableau, Python and Excel in Data Analytics certification.
As I transition into data analytics, I am excited to build upon my existing skills and learn new ones. I want to become a (senior) data analyst in Munich and advance my profession by getting a permanent job.
Below you can find some of the Data Analytics projects I did from the Career Foundry certification course.
Projects on Data Analytics
The JME includes estimates of prevalence and numbers affected for stunting, overweight, wasting and severe wasting among children under five years of age at country, regional and global levels. Global, regional and country annual trends from 2000-2022 are available for stunting and overweight. The objective is to build an interactive dashboard that will visually showcase well-curated results of an advanced exploratory analysis conducted in Python to measure nutritional imbalance such as undernutrition (assessed from stunting, wasting and underweight) or overweight.
Approach to the Problem
Business Understanding
-
Determination of the business problem
-
Situation assessment Determination of analytical objectives
-
Preparation of the project plan
​​
Prepare, Clean and Edit Data
-
Identifying the source of data, data bias and gaps.
-
Identifying and namely duplicate, non-uniform, incorrect, and missing data, then cleaning them.
-
Preparing data for analysis by profiling
-
Deriving additional columns Applying statistical methods
Presenting the analysis
-
Storytelling
-
Presenting the insight and visualisation to stakeholders.
​
​
​
Understanding the data
-
Translate business requirements into data questions
-
Formulate a research hypothesis Classifying the dataset
​
​
Analysis
​
-
Descriptive Statistics
-
EDA or standard hypothesis
-
Identifying the patterns in data.
-
Basic visualizations of data Answering business questions. Predicting future points.
​