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Aman Kumar

@amankumar19

Machine learning engineer focused on predictive models and deep learning.

India
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What I'm looking for

I seek an ML/Data role where I can build end-to-end predictive and deep-learning systems, work on healthcare or finance problems, and grow through mentorship and challenging real-world projects.

I am a machine learning engineer with hands-on experience building predictive and deep-learning models for real-world problems such as fake news detection, maternal health risk prediction, breast cancer classification, and fraud detection.

I have completed internships where I designed end-to-end ML solutions: from EDA and feature engineering to model selection and evaluation using scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow and Keras, and addressed class imbalance with SMOTE.

I deliver reproducible work using Jupyter/Colab and Git, and I am passionate about continual learning, competitive programming, and applying data-driven solutions to healthcare and finance challenges.

Experience

Work history, roles, and key accomplishments

SL

Data Science Intern

Syllogistek Pvt. Ltd.

May 2025 - Jun 2025 (1 month)

Designed and implemented a hypothyroid prediction model using ensemble techniques, performing EDA, feature engineering, SMOTE balancing, and model comparison to optimize performance.

Education

Degrees, certifications, and relevant coursework

SU

Silicon University

Bachelor of Technology, Computer Science and Engineering

2022 -

Grade: CGPA: 8.08

Activities and societies: Machine Learning Intern; projects in CNN-based image classification, thyroid prediction, and fraud detection.

Pursuing a BTech in Computer Science and Engineering with a CGPA of 8.08, focusing on machine learning and applied projects.

MC

Marwari College

Intermediate (JAC), Intermediate

2019 - 2021

Grade: 76.2%

Completed Intermediate (JAC) with 76.2% focusing on foundational coursework prior to undergraduate studies.

IM

Indumati Tibrewal Saraswati Vidya Mandir

Matriculation (JAC), Matriculation

Grade: 91.4%

Completed Matriculation (JAC) with 91.4% demonstrating strong academic performance at the secondary level.

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Aman Kumar - Data Science Intern - Syllogistek Pvt. Ltd. | Himalayas