Freelancer-logo Hvordan det virkerGennemse jobs Log Ind Tilmeld dig Slå et projekt op
UDFORSK
Data Processing Machine Learning (ML) MySQL Python Statistics
Profile cover photo
Du følger nu .
Fejl under følg af bruger.
Denne bruger har ikke tilladt andre bruger at følge dem.
Du følger allerede denne bruger.
Din medlemsskabsplan tillader kun at følge 0. Opgrader her.
Holdt op med at følge bruger.
Kunne ikke stoppe med at følge bruger.
Du har nu anbefalet
Kunne ikke anbefale bruger.
Noget gik galt. Forny venligst siden og prøv igen.
Email verificeret.
Brug Avatar.
$20 USD / time
Flag for PAKISTAN
mailsi, pakistan
$20 USD / time
Klokken er nu 3:44 AM her
Tilmeldt juli 22, 2022
0 Anbefalinger

Umar S.

@chumar9755484

0,0 (0 anmeldelser)
0,0
0,0
$20 USD / time
Flag for PAKISTAN
mailsi, pakistan
$20 USD / time
N/A
Jobs færdiggjort
N/A
Indenfor budgettet
N/A
Til tiden
N/A
Genansættelsesrate

DATA SCIENTIST | DATA ANALYST

With a strong foundation in data science and three years of industry experience, I am a highly skilled and dedicated professional seeking to contribute my expertise to organizations in need of advanced data-driven insights. Throughout my career, I have consistently demonstrated a deep understanding of statistical analysis, machine learning algorithms, and data visualization techniques. My ability to effectively communicate complex findings to both technical and non-technical stakeholders has allowed me to deliver actionable recommendations that drive business growth and inform strategic decision-making. My proficiency in programming languages such as Python, R, and SQL enables me to extract, clean, and manipulate large datasets efficiently. Leveraging my expertise in data preprocessing, feature engineering, and model selection, I have successfully developed and deployed predictive models that have significantly improved operational efficiency and customer satisfaction for previous employers. In addition to my technical skills, I am an analytical thinker with a keen eye for detail. I am adept at designing and conducting rigorous experiments, employing statistical hypothesis testing, and evaluating model performance to ensure robustness and accuracy. I am constantly seeking to stay abreast of the latest advancements in the field of data science, attending industry conferences and engaging in continuous learning to remain at the forefront of emerging methodologies and technologies. As a collaborative team member, I thrive in dynamic work environments and effectively contribute to cross-functional teams. My strong problem-solving abilities, combined with my effective time management and organizational skills, allow me to meet project deadlines and deliver high-quality results.
Freelancer Python Developers Pakistan

Kontakt Umar S. angående dit job

Log ind for at diskutere detaljer over chat.

Portefølje indlæg

In this project, I have started by analyzing the data and understanding the problem statement. I have then used Python libraries like Pandas, Numpy, and Matplotlib to preprocess the data, visualize it, and gain insights into it.

Once I had a good understanding of the data, I have used Python libraries like Scikit-learn or TensorFlow to develop machine learning models. I have experimented with various algorithms like linear regression, decision trees, random forests, support vector machines, or deep learning models, and compared their performance using metrics like accuracy, precision, recall, and F1-score.

I have also used techniques like cross-validation and hyperparameter tuning to optimize my models and make them more robust.

Overall, this portfolio item showcases your proficiency in machine learning in Python,
Machine Learning in Python
In this project, I have started by analyzing the data and understanding the problem statement. I have then used Python libraries like Pandas, Numpy, and Matplotlib to preprocess the data, visualize it, and gain insights into it.

Once I had a good understanding of the data, I have used Python libraries like Scikit-learn or TensorFlow to develop machine learning models. I have experimented with various algorithms like linear regression, decision trees, random forests, support vector machines, or deep learning models, and compared their performance using metrics like accuracy, precision, recall, and F1-score.

I have also used techniques like cross-validation and hyperparameter tuning to optimize my models and make them more robust.

Overall, this portfolio item showcases your proficiency in machine learning in Python,
Machine Learning in Python
In this project, I have started by analyzing the data and understanding the problem statement. I have then used Python libraries like Pandas, Numpy, and Matplotlib to preprocess the data, visualize it, and gain insights into it.

Once I had a good understanding of the data, I have used Python libraries like Scikit-learn or TensorFlow to develop machine learning models. I have experimented with various algorithms like linear regression, decision trees, random forests, support vector machines, or deep learning models, and compared their performance using metrics like accuracy, precision, recall, and F1-score.

I have also used techniques like cross-validation and hyperparameter tuning to optimize my models and make them more robust.

Overall, this portfolio item showcases your proficiency in machine learning in Python,
Machine Learning in Python
In this project, I have started by analyzing the data and understanding the problem statement. I have then used Python libraries like Pandas, Numpy, and Matplotlib to preprocess the data, visualize it, and gain insights into it.

Once I had a good understanding of the data, I have used Python libraries like Scikit-learn or TensorFlow to develop machine learning models. I have experimented with various algorithms like linear regression, decision trees, random forests, support vector machines, or deep learning models, and compared their performance using metrics like accuracy, precision, recall, and F1-score.

I have also used techniques like cross-validation and hyperparameter tuning to optimize my models and make them more robust.

Overall, this portfolio item showcases your proficiency in machine learning in Python,
Machine Learning in Python
In this project, I utilized my knowledge of programming and statistical analysis to explore a large dataset and gain insights from it. The project involved collecting data from various sources and processing it using Python libraries such as Pandas, NumPy, and Matplotlib.

Once I had cleaned and prepared the data, I proceeded to analyze it using statistical techniques such as regression analysis, hypothesis testing, and data visualization. Through these methods, I was able to uncover patterns and trends within the data, and draw conclusions about the underlying factors driving those trends.

I also ensured that the project was well-documented and presented in a clear and concise manner, with a focus on communicating the insights and conclusions in a way that would be accessible to both technical and non-technical stakeholders. Overall, this project demonstrated my ability to apply my skills in Python and data analysis to real-world problems, and to effectively communicate my findings
Data Analysis in Python
In this project, I utilized my knowledge of programming and statistical analysis to explore a large dataset and gain insights from it. The project involved collecting data from various sources and processing it using Python libraries such as Pandas, NumPy, and Matplotlib.

Once I had cleaned and prepared the data, I proceeded to analyze it using statistical techniques such as regression analysis, hypothesis testing, and data visualization. Through these methods, I was able to uncover patterns and trends within the data, and draw conclusions about the underlying factors driving those trends.

I also ensured that the project was well-documented and presented in a clear and concise manner, with a focus on communicating the insights and conclusions in a way that would be accessible to both technical and non-technical stakeholders. Overall, this project demonstrated my ability to apply my skills in Python and data analysis to real-world problems, and to effectively communicate my findings
Data Analysis in Python
In this project, I utilized my knowledge of programming and statistical analysis to explore a large dataset and gain insights from it. The project involved collecting data from various sources and processing it using Python libraries such as Pandas, NumPy, and Matplotlib.

Once I had cleaned and prepared the data, I proceeded to analyze it using statistical techniques such as regression analysis, hypothesis testing, and data visualization. Through these methods, I was able to uncover patterns and trends within the data, and draw conclusions about the underlying factors driving those trends.

I also ensured that the project was well-documented and presented in a clear and concise manner, with a focus on communicating the insights and conclusions in a way that would be accessible to both technical and non-technical stakeholders. Overall, this project demonstrated my ability to apply my skills in Python and data analysis to real-world problems, and to effectively communicate my findings
Data Analysis in Python
In this project, I utilized my knowledge of programming and statistical analysis to explore a large dataset and gain insights from it. The project involved collecting data from various sources and processing it using Python libraries such as Pandas, NumPy, and Matplotlib.

Once I had cleaned and prepared the data, I proceeded to analyze it using statistical techniques such as regression analysis, hypothesis testing, and data visualization. Through these methods, I was able to uncover patterns and trends within the data, and draw conclusions about the underlying factors driving those trends.

I also ensured that the project was well-documented and presented in a clear and concise manner, with a focus on communicating the insights and conclusions in a way that would be accessible to both technical and non-technical stakeholders. Overall, this project demonstrated my ability to apply my skills in Python and data analysis to real-world problems, and to effectively communicate my findings
Data Analysis in Python
In this project, I utilized my knowledge of programming and statistical analysis to explore a large dataset and gain insights from it. The project involved collecting data from various sources and processing it using Python libraries such as Pandas, NumPy, and Matplotlib.

Once I had cleaned and prepared the data, I proceeded to analyze it using statistical techniques such as regression analysis, hypothesis testing, and data visualization. Through these methods, I was able to uncover patterns and trends within the data, and draw conclusions about the underlying factors driving those trends.

I also ensured that the project was well-documented and presented in a clear and concise manner, with a focus on communicating the insights and conclusions in a way that would be accessible to both technical and non-technical stakeholders. Overall, this project demonstrated my ability to apply my skills in Python and data analysis to real-world problems, and to effectively communicate my findings
Data Analysis in Python
In this portfolio item, I have utilized R to perform time series analysis on a dataset. Time series analysis involves analyzing data points collected at regular intervals over time, with the goal of identifying patterns, trends, and seasonal fluctuations. Using R, I have cleaned and processed the data, and applied various time series techniques such as decomposition, forecasting, and ARIMA modeling to extract meaningful insights and make predictions. The output of this analysis may include statistical measures, and predictions that can be used to inform business decisions or support further research.
Time Series Analysis in R
In this portfolio item, I have utilized R to perform time series analysis on a dataset. Time series analysis involves analyzing data points collected at regular intervals over time, with the goal of identifying patterns, trends, and seasonal fluctuations. Using R, I have cleaned and processed the data, and applied various time series techniques such as decomposition, forecasting, and ARIMA modeling to extract meaningful insights and make predictions. The output of this analysis may include statistical measures, and predictions that can be used to inform business decisions or support further research.
Time Series Analysis in R
In this portfolio item, I have utilized R to perform time series analysis on a dataset. Time series analysis involves analyzing data points collected at regular intervals over time, with the goal of identifying patterns, trends, and seasonal fluctuations. Using R, I have cleaned and processed the data, and applied various time series techniques such as decomposition, forecasting, and ARIMA modeling to extract meaningful insights and make predictions. The output of this analysis may include statistical measures, and predictions that can be used to inform business decisions or support further research.
Time Series Analysis in R
Through this project, I have utilized my skills and knowledge of both programming languages to create interactive and visually appealing data visualizations. The project involved analyzing a large dataset and extracting insights that could be presented in an easy-to-understand manner using visualizations. I have used various libraries and tools such as Matplotlib, Seaborn, ggplot2, and Plotly to create different types of visualizations such as bar charts, line charts, scatterplots, heat maps, and more. The project showcases my ability to use programming languages for data visualization, as well as my skills in data analysis and interpretation.
Data Analysis and Data Visualization
Through this project, I have utilized my skills and knowledge of both programming languages to create interactive and visually appealing data visualizations. The project involved analyzing a large dataset and extracting insights that could be presented in an easy-to-understand manner using visualizations. I have used various libraries and tools such as Matplotlib, Seaborn, ggplot2, and Plotly to create different types of visualizations such as bar charts, line charts, scatterplots, heat maps, and more. The project showcases my ability to use programming languages for data visualization, as well as my skills in data analysis and interpretation.
Data Analysis and Data Visualization
Through this project, I have utilized my skills and knowledge of both programming languages to create interactive and visually appealing data visualizations. The project involved analyzing a large dataset and extracting insights that could be presented in an easy-to-understand manner using visualizations. I have used various libraries and tools such as Matplotlib, Seaborn, ggplot2, and Plotly to create different types of visualizations such as bar charts, line charts, scatterplots, heat maps, and more. The project showcases my ability to use programming languages for data visualization, as well as my skills in data analysis and interpretation.
Data Analysis and Data Visualization
Through this project, I have utilized my skills and knowledge of both programming languages to create interactive and visually appealing data visualizations. The project involved analyzing a large dataset and extracting insights that could be presented in an easy-to-understand manner using visualizations. I have used various libraries and tools such as Matplotlib, Seaborn, ggplot2, and Plotly to create different types of visualizations such as bar charts, line charts, scatterplots, heat maps, and more. The project showcases my ability to use programming languages for data visualization, as well as my skills in data analysis and interpretation.
Data Analysis and Data Visualization
Through this project, I have utilized my skills and knowledge of both programming languages to create interactive and visually appealing data visualizations. The project involved analyzing a large dataset and extracting insights that could be presented in an easy-to-understand manner using visualizations. I have used various libraries and tools such as Matplotlib, Seaborn, ggplot2, and Plotly to create different types of visualizations such as bar charts, line charts, scatterplots, heat maps, and more. The project showcases my ability to use programming languages for data visualization, as well as my skills in data analysis and interpretation.
Data Analysis and Data Visualization
Through this project, I have utilized my skills and knowledge of both programming languages to create interactive and visually appealing data visualizations. The project involved analyzing a large dataset and extracting insights that could be presented in an easy-to-understand manner using visualizations. I have used various libraries and tools such as Matplotlib, Seaborn, ggplot2, and Plotly to create different types of visualizations such as bar charts, line charts, scatterplots, heat maps, and more. The project showcases my ability to use programming languages for data visualization, as well as my skills in data analysis and interpretation.
Data Analysis and Data Visualization
Through this project, I have utilized my skills and knowledge of both programming languages to create interactive and visually appealing data visualizations. The project involved analyzing a large dataset and extracting insights that could be presented in an easy-to-understand manner using visualizations. I have used various libraries and tools such as Matplotlib, Seaborn, ggplot2, and Plotly to create different types of visualizations such as bar charts, line charts, scatterplots, heat maps, and more. The project showcases my ability to use programming languages for data visualization, as well as my skills in data analysis and interpretation.
Data Analysis and Data Visualization

Anmeldelser

Ændringer gemt
Ingen brugeranmeldelser
Ingen anbefalinger at se her!

Erfaring

Data Scientist

LSE PVT LTD.
apr. 2022 - Nuværende
Throughout my time at LSE , I have effectively utilized advanced statistical modelling and machine learning techniques to extract valuable insights from vast and complex datasets. Employing my proficiency in programming languages such as Python and R, I have skilfully developed scalable algorithms and predictive models to drive actionable recommendations for key stakeholders.

Uddannelse

Bachelor of Computer Science

National College Of Business Administration and Economics, Pakistan 2018 - 2022
(4 år)

Kvalifikationer

Analyzing and Visualizing Data in Looker

Google Cloud
2023
During the Google Cloud Analyzing and Visualizing Data in Looker course, I gained a comprehensive understanding of the tools and techniques involved in effectively analyzing and visualizing data using Looker, a powerful business intelligence platform. Here is a summary of what I have learned: Introduction to Looker Data Exploration Creating Dashboards Data Modelling Advanced Visualization Techniques Sharing and Collaboration Data Security and Governance Looker API and Integrations

Data science with Python

Udemy
2021
In the Udemy Python for Data Science course, I have learned various essential concepts and techniques related to data science using the Python programming language. Here's a summary of what I have covered: Introduction to Python NumPy Pandas Data Visualization Data Wrangling and Cleaning Machine Learning Model Evaluation and Validation Introduction to Deep Learning Introduction to Natural Language Processing (NLP)

Kontakt Umar S. angående dit job

Log ind for at diskutere detaljer over chat.

Verifikationer

Foretrukken Freelancer
Identitet verificeret
Betaling verificeret
Telefon verificeret
E-mail verificeret
Facebook forbundet

Bedste færdigheder

Python Data Processing Statistics Machine Learning (ML) MySQL

Gennemse lignende freelancere

Python Developers in Pakistan
Python Developers
Data Processing Executives
Statisticians

Gennemse lignende fremvisninger

Python
Data Processing
Statistics
Machine Learning (ML)
Tidligere Bruger
Næste bruger
Invitationen blev sendt!
Registrerede brugere Oprettede jobs i alt
Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)
Copyright © 2023 Freelancer Technology Pty Limited (ACN 142 189 759)
Indlæser forhåndsvisning
Geolokalisering er tilladt.
Din session er udløbet, og du er blevet logget ud. Log venligst ind igen.