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Aishwarya Raut

@aishwaryaraut

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Data Scientist and ML engineer specializing in Deep Learning, NLP, and computer vision.

India

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What I'm looking for

I am looking for a mid-level role building and deploying scalable ML/AI systems (CV, NLP, time-series) in collaborative teams, with opportunities for technical growth and real-world impact.

I am a results-driven Data Scientist with 2.5+ years of experience building end-to-end machine learning and deep learning systems across computer vision, NLP, and time-series forecasting. I combine strong Python development skills with hands-on experience in model training, evaluation, and deployment using Flask/Django, Docker, and AWS EC2.

I have developed real-time computer vision solutions (YOLO variants), custom neural architectures mixing CNNs, Transformers and GNNs, and LLM-based agentic workflows (GPT/BERT/RAG). I also built recommendation engines, improved model accuracy through ensembles, and delivered production-ready ML pipelines using TensorFlow, PyTorch, and PySpark.

I seek to apply AI and data-driven techniques to solve complex problems and drive business impact, emphasizing scalable, interpretable solutions and cross-functional collaboration to turn insights into operational outcomes.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Young Minds Technology Pvt Ltd

Apr 2025 - Present (9 months)

Developed and deployed real-time computer vision and multi-modal AI systems using YOLO, CNNs, Transformers, and GNNs; researched and implemented LLM-based solutions and NLP pipelines to improve automation and decision-making.

Computer Vision YOLO CNN Transformers NLP PyTorch TensorFlow Docker AWS EC2

Junior Data Scientist

Young Minds Technology Pvt Ltd

Jan 2024 - Apr 2025 (1 year 3 months)

Built supervised and unsupervised models (XGBoost, LSTM, BERT) and recommendation systems, improving recommendation accuracy by 35% while performing end-to-end data preprocessing, feature engineering, and model optimization.

Python Pandas NumPy XGBoost BERT Clustering SQL

Data Scientist Intern

Ai Variant

Nov 2022 - Apr 2023 (5 months)

Developed ML models using Scikit-learn, TensorFlow, and PyTorch; performed data preprocessing, feature engineering, and visualized insights to support stakeholder decision-making.

scikit learn TensorFlow PyTorch Data Wrangling Matplotlib SeaBorn MySQL PostgreSQL Python

Data Analyst Intern

Ai Variant

Aug 2022 - Nov 2022 (3 months)

Analyzed complex datasets, built dashboards and automated reports using Matplotlib, Seaborn, and Tableau, and maintained SQL queries to ensure data integrity for reporting.

Python Pandas NumPy SQL Tableau Matplotlib SeaBorn Data Cleaning Reporting Dashboarding

Education

Degrees, certifications, and relevant coursework

Shivaji University, Kolhapur

Master of Science, Statistics

2020 - 2022

Completed a Master of Science in Statistics with coursework in machine learning, deep learning, computer vision, NLP, data analysis, and statistical methods.