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Chirag Tayal

Data Scientist | AI/ML Engineer | Python, TensorFlow, PyTorch | AWS & Azure Cloud | Building Intelligent, Scalable Solutions

Gurugram

< 1 year of work experience

SEESEC
Jan 20265 mosMay 2026

Gurugram, Haryana, India

Manipal Business Solutions
Feb 20254 mosMay 2025

Gurugram, Haryana, India

During my internship, I developed a hybrid fraud detection system that combined a feedforward neural network with manual fraud analyst validation, significantly improving the accuracy of financial transaction classification. By analyzing transaction patterns and fine-tuning model predictions, I was able to reduce false positives by 30%, thereby increasing the reliability of the automated detection system. I worked with historical transaction data—including customer information, transaction amount, and location—to train the model, while continuously incorporating feedback from fraud analysts. This integration of human expertise and machine learning led to smarter decision-making and ongoing model improvement. The project also involved close collaboration with cross-functional teams to align technical solutions with business goals in the financial risk and compliance space.
Wipro
Jun 20243 mosAug 2024

Gurugram, Haryana, India

During my internship at Wipro, I focused on developing and enhancing CI/CD pipelines by automating key stages such as Build, Test, and Deployment. Leveraging powerful tools like Terraform, SonarCloud, and Kubernetes, I automated the provisioning of infrastructure, conducted thorough code quality checks to identify potential issues, and streamlined the deployment process to a Kubernetes cluster, ensuring a more efficient and reliable delivery pipeline.

Education

Indian Institute of Technology, Madras

Bachelor of Science - BS, Data Science and Programming

Indian Institute of Technology, Madras

20224 yrs2026
Amity University Gurugram

Bachelor of Technology - BTech, Computer Science

Amity University Gurugram

20214 yrs2025

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Headline

Data Scientist | AI/ML Engineer | Python, TensorFlow, PyTorch | AWS & Azure Cloud | Building Intelligent, Scalable Solutions

About

Welcome to my LinkedIn profile! I am a Machine Learning enthusiast trying to deep dive in data science technologies, having a computer science background with strong statistics foundation. Currently, I am a student pursuing BS in Data Science and Applications from IIT MADRAS (Indian Institute of Technology, Madras) along with B.Tech in Computer Science Engineering from Amity University, Haryana. During my Graduation,I have worked on many projects involving predictions using machine learning, deep learning that are tuned and optimised to address test datasets with good accuracies. Along with that have worked on web applications using Flask, VueJs and SQL databases. I am skilled in Machine learning, Statistics, Flask, Deep Learning, Python, SQL, VueJs, PowerBI, Excel, Data Analysis, Data Wrangling, Exploratory Data Analysis, Data Visualisation and many more. I am highly motivated to address practical challenges using my expertise in data science and machine learning. I am seeking internship opportunities in the field of data science to contribute my skillset towards solving impactful problems for the community. I am excited about the opportunity to apply my knowledge and grow within a forward-thinking communities.

Location

Gurugram

Work experience

Technical Intern at SEESEC, Jan 2026 - May 2026 · 5 mos, Gurugram, Haryana, India

Data Science Intern at Manipal Business Solutions, Feb 2025 - May 2025 · 4 mos, Gurugram, Haryana, India, During my internship, I developed a hybrid fraud detection system that combined a feedforward neural network with manual fraud analyst validation, significantly improving the accuracy of financial transaction classification. By analyzing transaction patterns and fine-tuning model predictions, I was able to reduce false positives by 30%, thereby increasing the reliability of the automated detection system. I worked with historical transaction data—including customer information, transaction amount, and location—to train the model, while continuously incorporating feedback from fraud analysts. This integration of human expertise and machine learning led to smarter decision-making and ongoing model improvement. The project also involved close collaboration with cross-functional teams to align technical solutions with business goals in the financial risk and compliance space.

Cloud Engineer Intern at Wipro, Jun 2024 - Aug 2024 · 3 mos, Gurugram, Haryana, India, During my internship at Wipro, I focused on developing and enhancing CI/CD pipelines by automating key stages such as Build, Test, and Deployment. Leveraging powerful tools like Terraform, SonarCloud, and Kubernetes, I automated the provisioning of infrastructure, conducted thorough code quality checks to identify potential issues, and streamlined the deployment process to a Kubernetes cluster, ensuring a more efficient and reliable delivery pipeline.

Education

Bachelor of Science - BS, Data Science and Programming, Indian Institute of Technology, Madras

Bachelor of Technology - BTech, Computer Science, Amity University Gurugram