Muhammad Sufyan Data Science
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1.Experience Level:
The individual has 0-1 years of experience, indicating they are relatively new to the field of data science. This suggests they might be a recent graduate or someone who has recently started their career in this area.

2.Motivation and Experience:
Despite their limited experience, the person is described as motivated and experienced. This implies that they have a strong drive to succeed and have accumulated some practical skills or knowledge through their studies, internships, or early work experiences.

3.Knowledge of Databases:
They possess a strong understanding of various types of databases. This could include relational databases (like SQL), NoSQL databases (like MongoDB), or data warehouses. Knowledge of databases is crucial for managing and querying data effectively.

4.Programming Languages:
The person has a solid background in computer programming languages. This typically means proficiency in languages commonly used in data science, such as Python, R, SQL, or others relevant to data manipulation and analysis.

5.Skills and Expertise:
The individual has a broad range of skills, including:
a) Computer Science: Understanding of fundamental computing concepts and programming.
b) Mathematics and Statistics: Ability to apply mathematical and statistical methods to analyze data and derive insights.
c) Economics: Knowledge of economic principles that could be used for economic data analysis or modeling.
d) Business: Understanding of business processes and needs, which helps in aligning data solutions with business goals.
e) Remote Sensing: Expertise in acquiring and analyzing data from satellite or aerial sources.
f) Geostatistics: Application of statistical techniques to spatial data.
g) Spatial Econometrics: Techniques to analyze economic data with spatial dimensions.
h) Algorithms: Understanding and implementation of algorithms for various data processing tasks.
i) Machine Learning: Skills in building models that can learn from and make predictions based on data.

Subjects

  • Data Science Beginner-Expert

  • Data Analyst Beginner-Expert

  • Data analysis and visualization Beginner-Expert

  • Statistical inference and Machine learning Beginner-Expert

Experience

  • Junior Data Analyst (Apr, 2023–Present) at Data tech solution Faisalabad
    Data scientist with 0-1 years of experience in Data Tech Solution who is motivated and experienced, strong knowledge of numerous types of databases and a strong background in computer programming languages. Strong computer, math, statistics, economics, business, remote sensing, geostatistics, spatial econometrics, algorithms, and machine learning skills. A dedication to supplying assistance and crucial knowledge about trends to enhance the Research for Industry and Commercialization.

Education

  • BS Computer Science (Sep, 2019–May, 2022) from National Textile University of Faisalabad–scored 3.65

Fee details

    Rs2,000–5,000/hour (US$7.18–17.94/hour)

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