DHANRAJ KUMAR

Delivery Data Scientist

Kharagpur.

Work

Turing

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Delivery Data Scientist

Highlights

Completed over 1,000 RLHF, SFT, SXS evaluations, and mathematical reasoning tasks to improve model accuracy, robustness, and efficiency across Google Gemini initiatives, in Project Magi and Google DeepMind.

Created over 1,000 multi-layered visualizations with rich metadata, enabling measurable insights across large-scale datasets and accelerating data-driven decision workflows.

Contributed to Meta Agentless, a code-repair system for SWE-Bench tasks, leveraging LLaMA 4 to implement multi-stage workflows for issue localization, automated repair (SEARCH/REPLACE), and test-based patch validation.

Tech Stack: Python, C++, C, Java, SQL, Docker, Django, Matplotlib, NumPy, Pandas, Google Colab, Plotly, Linux

FEYNN LABS

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Machine Learning Intern

Highlights

Applied data analysis techniques using Numpy, Pandas, and Matplotlib to process and visualize 500,000+ data points, enhancing model interpretability by 40%.

Implemented Unsupervised Learning (PCA, K-means) to segment 100,000+ data records in the fast food and EV markets, extracting key consumer behavior trends with 92% precision.

Tech Stack: Python, Matplotlib, NumPy, Pandas, Google Colab, Plotly

Education

Indian Institute of Technology, Kharagpur

B. Tech Civil Engineering

British English School

Senior Secondary Education

Awards

Machine Learning Specialization

Coursera by Andrew Ng

acquiring knowledge across 3 courses.

Amazon Machine Learning

Amazon

completed Amazon's 4-week Machine Learning School.

Skills

Languages

C, C++, JavaScript, Python, Java.

Software and Libraries

C++ STL, Numpy, Pandas, Matplotlib, Git, GitHub, MySQL, Docker, PyTorch, Tensorflow.

General

Data Structures and Algorithms, Object Oriented Programming, Database Management System, Prompt Engineering.

Projects

Soil Strength Predictor

Micrograd Visualizer