Anwar Rahim
- Anwar Rahim
- Dera Ghazi Khan
- 10 $ / hourly
- Member Since Jul 13, 2024
Candidates About
As a recent COMSATS graduate with a Bachelor's degree in Computer Software Engineering, I honed a robust foundation in software development alongside my role as a Data Scientist Trainee at Knowledge Streams. My work focused on mining data to unveil trends and building statistical models, a testament to my proficiency in Python and data analysis tools such as Pandas. Collaboration has been key; I contributed to team efforts in developing machine learning models, ensuring our insights accurately informed business decisions. My commitment extends to process automation and data preprocessing, aligning with the goal to streamline and optimize data-driven strategies.Education
C
Software engineering
COMSATS University islamabad
16 September 2019 - 15 August 2023
Working as a data scientist
C
IBM data scientist Certification
Coursera IBM Data science
12 Jan 2023 - 10 June 2024
Work & Experience
L
Data Scientist Trainee
Lahore
Jan 2024 - April 2024
Data Analysis and Insights:
Mining vast amounts of data to identify trends, patterns, dashboard
insights. This done with the help of team.
Building statistical models to form the business decisions.
Machine Learning and Algorithms:
Developing and implementing machine learning models with team
work and algorithms.
Conducting data analysis to identify patterns, trends, and insights and
communication with team to train the model.
Correct process automation is primary goal to achieve and maintaining.
Data Preprocessing and Cleaning:
Conducting data cleaning and preprocessing tasks on large datasets.
Assisting in developing and implementing machine learning models.
Design a methodology, validate it by coding in Python or R, and run
analysis
Ardent and diligent in creating, maintaining and updating the reports
and dashboards
Web Scrapping:
market research and content monitoring
Financial and investment analysis, lead generation
Price comparison and monitoring
Mining vast amounts of data to identify trends, patterns, dashboard
insights. This done with the help of team.
Building statistical models to form the business decisions.
Machine Learning and Algorithms:
Developing and implementing machine learning models with team
work and algorithms.
Conducting data analysis to identify patterns, trends, and insights and
communication with team to train the model.
Correct process automation is primary goal to achieve and maintaining.
Data Preprocessing and Cleaning:
Conducting data cleaning and preprocessing tasks on large datasets.
Assisting in developing and implementing machine learning models.
Design a methodology, validate it by coding in Python or R, and run
analysis
Ardent and diligent in creating, maintaining and updating the reports
and dashboards
Web Scrapping:
market research and content monitoring
Financial and investment analysis, lead generation
Price comparison and monitoring
O
Member - Forward Program
Online
April 2024 - july 2024
McKinsey & Company
Skills for Member - Forward Program at McKinsey & Company
Team ManagementTeam Management
LeadershipLeadership
TeamworkTeamwork
Decision-MakingDecision-Making
Time Management
Skills for Member - Forward Program at McKinsey & Company
Team ManagementTeam Management
LeadershipLeadership
TeamworkTeamwork
Decision-MakingDecision-Making
Time Management
Awards
IBM data scientist Certification
12 jan 2023 - 10 June 2024
Data Analysis and Insights:
Mining vast amounts of data to identify trends, patterns, dashboard
insights. This done with the help of team.
Building statistical models to form the business decisions.
Machine Learning and Algorithms:
Developing and implementing machine learning models with team
work and algorithms.
Conducting data analysis to identify patterns, trends, and insights and
communication with team to train the model.
Correct process automation is primary goal to achieve and maintaining.
Data Preprocessing and Cleaning:
Conducting data cleaning and preprocessing tasks on large datasets.
Assisting in developing and implementing machine learning models.
Design a methodology, validate it by coding in Python or R, and run
analysis
Ardent and diligent in creating, maintaining and updating the reports
and dashboards
Web Scrapping:
market research and content monitoring
Financial and investment analysis, lead generation
Price comparison and monitoring
Mining vast amounts of data to identify trends, patterns, dashboard
insights. This done with the help of team.
Building statistical models to form the business decisions.
Machine Learning and Algorithms:
Developing and implementing machine learning models with team
work and algorithms.
Conducting data analysis to identify patterns, trends, and insights and
communication with team to train the model.
Correct process automation is primary goal to achieve and maintaining.
Data Preprocessing and Cleaning:
Conducting data cleaning and preprocessing tasks on large datasets.
Assisting in developing and implementing machine learning models.
Design a methodology, validate it by coding in Python or R, and run
analysis
Ardent and diligent in creating, maintaining and updating the reports
and dashboards
Web Scrapping:
market research and content monitoring
Financial and investment analysis, lead generation
Price comparison and monitoring