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Hamza J.

@hamzajabbar019

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Data Analyst | BI | Predictive Modeling | SPSS

$10 USD / ora
・
Bandiera:
Pakistan (5:24 PM)
・
Si è unito il aprile 28, 2023
$10 USD / ora
・
Hi there! I’m a skilled data analytics professional with a focus on turning complex data into clear insights. With hands-on experience in data cleansing, statistical analysis, linear regression, and business intelligence, I can support you in making data-driven decisions to help your business grow. My approach is both meticulous and results-oriented, ensuring accuracy and strategic insights. Let’s connect to see how I can bring value to your projects!
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Tasso di riassunzione
100%
Freelancer Statistical Analysers Pakistan
Vedi tutti i Statistical Analysers in Pakistan

Portfolio

Portfolio

12318175
Analyzed the Annual Enterprise Survey 2021 dataset to explore the financial performance of businesses based on various size bands. The project utilized the following libraries: Pandas: For data manipulation and cleaning, facilitating the exploration of financial metrics across different business sizes. Matplotlib: For visualizing data trends and comparisons, providing insights into the financial landscape of enterprises. Figure from Matplotlib: For creating customized charts to effectively communicate key findings and results. The analysis focused on understanding how size bands affect financial outcomes and identifying trends within the dataset. This project showcases my ability to work with real-world datasets and apply analytical techniques to derive meaningful insights. Skills Used: Data Analytics, Data Cleansing, Data Visualization, Statistical Analysis
Annual Enterprise Survey Data Analysis
Analyzed the Annual Enterprise Survey 2021 dataset to explore the financial performance of businesses based on various size bands. The project utilized the following libraries: Pandas: For data manipulation and cleaning, facilitating the exploration of financial metrics across different business sizes. Matplotlib: For visualizing data trends and comparisons, providing insights into the financial landscape of enterprises. Figure from Matplotlib: For creating customized charts to effectively communicate key findings and results. The analysis focused on understanding how size bands affect financial outcomes and identifying trends within the dataset. This project showcases my ability to work with real-world datasets and apply analytical techniques to derive meaningful insights. Skills Used: Data Analytics, Data Cleansing, Data Visualization, Statistical Analysis
Annual Enterprise Survey Data Analysis
Analyzed the Annual Enterprise Survey 2021 dataset to explore the financial performance of businesses based on various size bands. The project utilized the following libraries: Pandas: For data manipulation and cleaning, facilitating the exploration of financial metrics across different business sizes. Matplotlib: For visualizing data trends and comparisons, providing insights into the financial landscape of enterprises. Figure from Matplotlib: For creating customized charts to effectively communicate key findings and results. The analysis focused on understanding how size bands affect financial outcomes and identifying trends within the dataset. This project showcases my ability to work with real-world datasets and apply analytical techniques to derive meaningful insights. Skills Used: Data Analytics, Data Cleansing, Data Visualization, Statistical Analysis
Annual Enterprise Survey Data Analysis
12318124
Developed a predictive model using the Titanic dataset to analyze factors influencing passenger survival rates. Utilized data analytics techniques, including data cleansing, statistical analysis, and linear regression, to identify key variables affecting outcomes. Skills Used: Data Analytics, Data Cleansing, Statistical Analysis, Linear Regression, Predictive Modeling. Project Outcome: Achieved high accuracy in predicting survival rates, offering insights into data-driven decision-making and demonstrating expertise in machine learning and data visualization.
Titanic Survival Prediction Model
Developed a predictive model using the Titanic dataset to analyze factors influencing passenger survival rates. Utilized data analytics techniques, including data cleansing, statistical analysis, and linear regression, to identify key variables affecting outcomes. Skills Used: Data Analytics, Data Cleansing, Statistical Analysis, Linear Regression, Predictive Modeling. Project Outcome: Achieved high accuracy in predicting survival rates, offering insights into data-driven decision-making and demonstrating expertise in machine learning and data visualization.
Titanic Survival Prediction Model
Developed a predictive model using the Titanic dataset to analyze factors influencing passenger survival rates. Utilized data analytics techniques, including data cleansing, statistical analysis, and linear regression, to identify key variables affecting outcomes. Skills Used: Data Analytics, Data Cleansing, Statistical Analysis, Linear Regression, Predictive Modeling. Project Outcome: Achieved high accuracy in predicting survival rates, offering insights into data-driven decision-making and demonstrating expertise in machine learning and data visualization.
Titanic Survival Prediction Model
Developed a predictive model using the Titanic dataset to analyze factors influencing passenger survival rates. Utilized data analytics techniques, including data cleansing, statistical analysis, and linear regression, to identify key variables affecting outcomes. Skills Used: Data Analytics, Data Cleansing, Statistical Analysis, Linear Regression, Predictive Modeling. Project Outcome: Achieved high accuracy in predicting survival rates, offering insights into data-driven decision-making and demonstrating expertise in machine learning and data visualization.
Titanic Survival Prediction Model
Developed a predictive model using the Titanic dataset to analyze factors influencing passenger survival rates. Utilized data analytics techniques, including data cleansing, statistical analysis, and linear regression, to identify key variables affecting outcomes. Skills Used: Data Analytics, Data Cleansing, Statistical Analysis, Linear Regression, Predictive Modeling. Project Outcome: Achieved high accuracy in predicting survival rates, offering insights into data-driven decision-making and demonstrating expertise in machine learning and data visualization.
Titanic Survival Prediction Model
Developed a predictive model using the Titanic dataset to analyze factors influencing passenger survival rates. Utilized data analytics techniques, including data cleansing, statistical analysis, and linear regression, to identify key variables affecting outcomes. Skills Used: Data Analytics, Data Cleansing, Statistical Analysis, Linear Regression, Predictive Modeling. Project Outcome: Achieved high accuracy in predicting survival rates, offering insights into data-driven decision-making and demonstrating expertise in machine learning and data visualization.
Titanic Survival Prediction Model
Developed a predictive model using the Titanic dataset to analyze factors influencing passenger survival rates. Utilized data analytics techniques, including data cleansing, statistical analysis, and linear regression, to identify key variables affecting outcomes. Skills Used: Data Analytics, Data Cleansing, Statistical Analysis, Linear Regression, Predictive Modeling. Project Outcome: Achieved high accuracy in predicting survival rates, offering insights into data-driven decision-making and demonstrating expertise in machine learning and data visualization.
Titanic Survival Prediction Model
12318175
Analyzed the Annual Enterprise Survey 2021 dataset to explore the financial performance of businesses based on various size bands. The project utilized the following libraries: Pandas: For data manipulation and cleaning, facilitating the exploration of financial metrics across different business sizes. Matplotlib: For visualizing data trends and comparisons, providing insights into the financial landscape of enterprises. Figure from Matplotlib: For creating customized charts to effectively communicate key findings and results. The analysis focused on understanding how size bands affect financial outcomes and identifying trends within the dataset. This project showcases my ability to work with real-world datasets and apply analytical techniques to derive meaningful insights. Skills Used: Data Analytics, Data Cleansing, Data Visualization, Statistical Analysis
Annual Enterprise Survey Data Analysis
Analyzed the Annual Enterprise Survey 2021 dataset to explore the financial performance of businesses based on various size bands. The project utilized the following libraries: Pandas: For data manipulation and cleaning, facilitating the exploration of financial metrics across different business sizes. Matplotlib: For visualizing data trends and comparisons, providing insights into the financial landscape of enterprises. Figure from Matplotlib: For creating customized charts to effectively communicate key findings and results. The analysis focused on understanding how size bands affect financial outcomes and identifying trends within the dataset. This project showcases my ability to work with real-world datasets and apply analytical techniques to derive meaningful insights. Skills Used: Data Analytics, Data Cleansing, Data Visualization, Statistical Analysis
Annual Enterprise Survey Data Analysis
Analyzed the Annual Enterprise Survey 2021 dataset to explore the financial performance of businesses based on various size bands. The project utilized the following libraries: Pandas: For data manipulation and cleaning, facilitating the exploration of financial metrics across different business sizes. Matplotlib: For visualizing data trends and comparisons, providing insights into the financial landscape of enterprises. Figure from Matplotlib: For creating customized charts to effectively communicate key findings and results. The analysis focused on understanding how size bands affect financial outcomes and identifying trends within the dataset. This project showcases my ability to work with real-world datasets and apply analytical techniques to derive meaningful insights. Skills Used: Data Analytics, Data Cleansing, Data Visualization, Statistical Analysis
Annual Enterprise Survey Data Analysis
12318124
Developed a predictive model using the Titanic dataset to analyze factors influencing passenger survival rates. Utilized data analytics techniques, including data cleansing, statistical analysis, and linear regression, to identify key variables affecting outcomes. Skills Used: Data Analytics, Data Cleansing, Statistical Analysis, Linear Regression, Predictive Modeling. Project Outcome: Achieved high accuracy in predicting survival rates, offering insights into data-driven decision-making and demonstrating expertise in machine learning and data visualization.
Titanic Survival Prediction Model
Developed a predictive model using the Titanic dataset to analyze factors influencing passenger survival rates. Utilized data analytics techniques, including data cleansing, statistical analysis, and linear regression, to identify key variables affecting outcomes. Skills Used: Data Analytics, Data Cleansing, Statistical Analysis, Linear Regression, Predictive Modeling. Project Outcome: Achieved high accuracy in predicting survival rates, offering insights into data-driven decision-making and demonstrating expertise in machine learning and data visualization.
Titanic Survival Prediction Model
Developed a predictive model using the Titanic dataset to analyze factors influencing passenger survival rates. Utilized data analytics techniques, including data cleansing, statistical analysis, and linear regression, to identify key variables affecting outcomes. Skills Used: Data Analytics, Data Cleansing, Statistical Analysis, Linear Regression, Predictive Modeling. Project Outcome: Achieved high accuracy in predicting survival rates, offering insights into data-driven decision-making and demonstrating expertise in machine learning and data visualization.
Titanic Survival Prediction Model
Developed a predictive model using the Titanic dataset to analyze factors influencing passenger survival rates. Utilized data analytics techniques, including data cleansing, statistical analysis, and linear regression, to identify key variables affecting outcomes. Skills Used: Data Analytics, Data Cleansing, Statistical Analysis, Linear Regression, Predictive Modeling. Project Outcome: Achieved high accuracy in predicting survival rates, offering insights into data-driven decision-making and demonstrating expertise in machine learning and data visualization.
Titanic Survival Prediction Model
Developed a predictive model using the Titanic dataset to analyze factors influencing passenger survival rates. Utilized data analytics techniques, including data cleansing, statistical analysis, and linear regression, to identify key variables affecting outcomes. Skills Used: Data Analytics, Data Cleansing, Statistical Analysis, Linear Regression, Predictive Modeling. Project Outcome: Achieved high accuracy in predicting survival rates, offering insights into data-driven decision-making and demonstrating expertise in machine learning and data visualization.
Titanic Survival Prediction Model
Developed a predictive model using the Titanic dataset to analyze factors influencing passenger survival rates. Utilized data analytics techniques, including data cleansing, statistical analysis, and linear regression, to identify key variables affecting outcomes. Skills Used: Data Analytics, Data Cleansing, Statistical Analysis, Linear Regression, Predictive Modeling. Project Outcome: Achieved high accuracy in predicting survival rates, offering insights into data-driven decision-making and demonstrating expertise in machine learning and data visualization.
Titanic Survival Prediction Model
Developed a predictive model using the Titanic dataset to analyze factors influencing passenger survival rates. Utilized data analytics techniques, including data cleansing, statistical analysis, and linear regression, to identify key variables affecting outcomes. Skills Used: Data Analytics, Data Cleansing, Statistical Analysis, Linear Regression, Predictive Modeling. Project Outcome: Achieved high accuracy in predicting survival rates, offering insights into data-driven decision-making and demonstrating expertise in machine learning and data visualization.
Titanic Survival Prediction Model
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Esperienza
Data Analyst Intern
giu, 2024 - ago, 2024
•
2 mesi, 1 giorno
Alkhidmat Foundation
giu, 2024 - ago, 2024
•
2 mesi, 1 giorno
Conducted data analysis using the Annual Enterprise Survey 2021 dataset to evaluate financial performance across various enterprise size bands.Utilized Pandas for data cleaning and manipulation, ensuring the accuracy and reliability of the dataset for analysis.Employed matplotlib and Figure for data visualization, creating informative charts and graphs to present key findings.
Bandiera:
Karachi, Pakistan
giu, 2024 - ago, 2024
•
2 mesi, 1 giorno
Istruzione
Intermediate in Engineering
2020 - 2022
•
2 anni
Bandiera:
Pakistan
2020 - 2022
•
2 anni
Certificazioni
Python in Data Science and Ai
2024
Ashrei Tech Nastp
Completed a comprehensive certificate program focused on using Python for data science and AI. Topics covered include: Python programming, data manipulation with Pandas and NumPy Data visualization using Matplotlib and Seaborn Statistical analysis and machine learning with Scikit-learn Real-world applications of AI in data-driven decision-making The program included hands-on projects, enhancing practical skills and problem-solving abilities.
2024
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