Dev Bansal

Aspiring Data Scientist & Machine Learning Engineer

Rajasthan, IN.

About

Highly motivated Computer Science Engineering student with a strong foundation in machine learning, data analysis, and robust data pipeline development. Proven ability to drive significant improvements in model accuracy and data processing efficiency through practical application of advanced ML techniques and MLOps frameworks. Eager to leverage analytical prowess and technical skills to solve complex challenges in data science and AI roles.

Work

Pre Prod Corp

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Data Analyst Intern

Bangalore, Karnataka, India

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Summary

As a Data Analyst Intern, Dev Bansal optimized traffic flow analysis and enhanced ML model performance for urban planning simulations.

Highlights

Achieved a 15% accuracy uplift in traffic flow analysis by deploying a custom YOLO model, trained on over 50,000 images, to inform data-driven urban planning simulations.

Increased ML model accuracy by 15 points, reaching 96%, through establishing an MLOps framework in MLFlow to track over 50 experimental runs for continuous fine-tuning.

Engineered a high-throughput streaming solution with Apache Kafka, processing over 200 GB of data daily at 1,000+ events/sec and reducing data latency by 30%.

Education

VIT BHOPAL UNIVERSITY

Bhopal, Madhya Pradesh, India
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Bachelor of Technology Computer Science Engineering Grade: CGPA: 8.59/10.0

TAGORE INTERNATIONAL SCHOOL

Jaipur, Rajasthan, India
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Class XII CBSE Grade: 94.4%

TAGORE INTERNATIONAL SCHOOL

Jaipur, Rajasthan, India
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Class X CBSE Grade: 91.14%

Languages

English

Hindi

Certificates

Full Stack Data Science & AI

Naresh IT

Machine Learning Specialization

Deep Learning. AI

Skills

Technical Skills

Exploratory Data Analysis (EDA), Statistical Analysis, A/B Testing, Data Visualization, MLOps.

Languages & Libraries

Python, Pandas, NumPy, Java, TensorFlow, Scikit-learn, XG Boost, Apache Kafka.

Databases

SQL, MySQL, MongoDB.

BI Tools

Power BI, Excel.

Developer Tools

Git, GitHub, Streamlit, Flask, MLFlow.

Projects

PATHSARTHI: Navigation Aid for Visually Impaired

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Summary

Developed an AI-powered navigation aid for visually impaired individuals, leveraging computer vision and multi-modal feedback to enhance safety and mobility.

Social Media Engagement Analysis Bot

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Summary

Created an automated bot for real-time social media engagement analysis, providing actionable insights for content strategy.

AUTO ML Pipeline

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Summary

Designed and implemented an automated machine learning pipeline to streamline model development, data preprocessing, and feature engineering for diverse datasets.