Muhammad Ahtasham
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Bio
Credentials
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Python for Data Science, AI & Development
IBMAug, 2023- Oct, 2024 -
Supervised Machine Learning: Regression and Classification
DeepLearning.AI, Coursera, Stanford CPD, UVMJul, 2023- Oct, 2024
Experience
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Student
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CodSoft
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India
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IT Services and IT Consulting
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700 & Above Employee
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Machine Learning Engineer
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Jul 2023 - Present
As a machine learning intern, I will have the exciting opportunity to work on three distinct tasks. In Task 1, I will be responsible for creating a machine learning model that predicts the genre of a movie based on its plot summary or textual information. Techniques like TF-IDF or word embeddings along with classifiers such as Naive Bayes, Logistic Regression, or Support Vector Machines will be employed. In Task 2, I'll focus on Credit Card Fraud Detection, developing a model to identify fraudulent transactions. I will utilize techniques like TF-IDF or word embeddings, and classifiers such as Naive Bayes, Logistic Regression, or Support Vector Machines. Finally, in Task 3, I'll tackle Customer Churn Prediction for a subscription-based service or business. Leveraging historical customer data and features like usage behavior and demographics, I will explore algorithms such as Logistic Regression, Random Forests, or Gradient Boosting to predict churn. This internship offers me a unique opportunity to gain hands-on experience in the field of machine learning while solving real-world challenges. Joining your team, I hope to be part of an innovative group driving impactful solutions using cutting-edge techniques. Show less
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Education
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Pieas
Bachelor of Science - BS, Computer Science