Talha A. Profile

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$15 USD / heure

rahim yar khan,

pakistan

$15 USD / heure

Il est actuellement 8:59 PM ici

Rejoint le janvier 25, 2023

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Talha A.

@TalhaArshad39

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(0 commentaires)

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$15 USD / heure

rahim yar khan,

pakistan

$15 USD / heure

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Data Scientist | Big Data Analyst | Python

I am Talha Arshad, a self-motivated Computer Science Grad, offering a robust foundation as a developer and analyst. I aim to explore and aspire to a position, where I can contribute to the latest machine-learning projects and accomplish assigned tasks. I have 2 years of experience in data science and analytics projects and I primarily gained knowledge of DS modules like data-cleaning, pre-processing, model training, dashboards, and visualization from WQU and earned certifications there as well. Turnarounds, critical thinking and strategically fixing problems, and fueling growth inspire me the most. I consider myself a visionary and proficient person, who is always willing to face a new challenge. For any information, feel free to drop me down message.

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Expérience

Data Majority

mars 2022 - Jusqu'à présent

As a part of data science team i worked with various tools and techniques of data analysis, data visualization, big data and trained machine learning and deep learning models. Mostly worked in python but also did some work in scala and java. During my job i also helped to train some internees.

Virtual Soft

avr. 2021 - mars 2022 (11 mois, 2 jours)

Worked as a data scientist. Played key role in analyzing data, various big data tools, training machine learning and deep learning models.

Éducation

Bachelor's degree, Computer Science

Khwaja Fareed University of Engineering and Information Technology,

Pakistan

2018 - 2022

(4 ans)

Qualifications

WorldQuant University

2023

Earners of this badge have completed eight end-to-end, applied data science projects. In each project, they accessed data from files, SQL and NoSQL databases and APIs. They have demonstrated their ability to explore and clean data, create functions and ETL pipelines to prepare training sets. They have built machine learning models for supervised and unsupervised learning tasks, and have created visualizations to explain data characteristics and model predictions for non-technical audiences.

WorldQuant University

2021

Earners of this badge are able to build machine learning models to make predictions on real-world data. They understand the best way to treat, clean, and encode data and how to choose the appropriate machine learning models for the task. They can properly tune the model to create a generalized model that performs well on both a training set and on out-of-sample data. They can build models using text and time series data. Earners are also proficient in using Python’s scikit-learn package.

WorldQuant University

2020

Earners of this badge have completed a comprehensive introduction to scientific computing, Python, and related tools used by data scientists. They can use Python to read, clean, process, and analyze real-world data by following good programming practices such as using functions, choosing the appropriate data structures, and writing readable, maintainable code. To determine the statistical significance of the results of their analysis, they can apply statistical analysis and hypothesis testing.