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I am a Data Scientist and Machine Learning Engineer with over 5 years of experience working extensively on structured and unstructured data. I specialize in advanced SQL querying, data wrangling, visualization, acquisition, predictive modeling, and building robust Machine Learning, Deep Learning, and Natural Language Processing models using state-of-the-art techniques and tools. My expertise spans statistical analysis, text mining, supervised and unsupervised learning, reinforcement learning, and deploying AI/ML models in cloud environments like AWS and Azure. I have hands-on experience with a variety of frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers, along with big data technologies like Apache Spark, Hive, and Hadoop. I am skilled in building innovative solutions including generative models, image classification pipelines, NLP retrieval systems, and LLM-based RAG pipelines. Passionate about transforming complex data into actionable insights, I work collaboratively with cross-functional teams to meet business objectives and deliver scalable AI-driven solutions.…I am a Data Scientist and Machine Learning Engineer with over 5 years of experience working extensively on structured and unstructured data. I specialize in advanced SQL querying, data wrangling, visualization, acquisition, predictive modeling, and building robust Machine Learning, Deep Learning, and Natural Language Processing models using state-of-the-art techniques and tools. My expertise spans statistical analysis, text mining, supervised and unsupervised learning, reinforcement learning, and deploying AI/ML models in cloud environments like AWS and Azure. I have hands-on experience with a variety of frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers, along with big data technologies like Apache Spark, Hive, and Hadoop. I am skilled in building innovative solutions including generative models, image classification pipelines, NLP retrieval systems, and LLM-based RAG pipelines. Passionate about transforming complex data into actionable insights, I work collaboratively with cross-functional teams to meet business objectives and deliver scalable AI-driven solutions.

Yashwantej D

Data Scientist, AI Engineer, Developer, +1

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I am a Data Scientist and Machine Learning Engineer with over 5 years of experience working extensively on structured and unstructured data. I specialize in advanced SQL querying, data wrangling, visualization, acquisition, predictive modeling, and building robust Machine Learning, Deep Learning, and Natural Language Processing models using state-of-the-art techniques and tools. My expertise spans statistical analysis, text mining, supervised and unsupervised learning, reinforcement learning, and deploying AI/ML models in cloud environments like AWS and Azure. I have hands-on experience with a variety of frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers, along with big data technologies like Apache Spark, Hive, and Hadoop. I am skilled in building innovative solutions including generative models, image classification pipelines, NLP retrieval systems, and LLM-based RAG pipelines. Passionate about transforming complex data into actionable insights, I work collaboratively with cross-functional teams to meet business objectives and deliver scalable AI-driven solutions.…I am a Data Scientist and Machine Learning Engineer with over 5 years of experience working extensively on structured and unstructured data. I specialize in advanced SQL querying, data wrangling, visualization, acquisition, predictive modeling, and building robust Machine Learning, Deep Learning, and Natural Language Processing models using state-of-the-art techniques and tools. My expertise spans statistical analysis, text mining, supervised and unsupervised learning, reinforcement learning, and deploying AI/ML models in cloud environments like AWS and Azure. I have hands-on experience with a variety of frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers, along with big data technologies like Apache Spark, Hive, and Hadoop. I am skilled in building innovative solutions including generative models, image classification pipelines, NLP retrieval systems, and LLM-based RAG pipelines. Passionate about transforming complex data into actionable insights, I work collaboratively with cross-functional teams to meet business objectives and deliver scalable AI-driven solutions.

Available to hire

I am a Data Scientist and Machine Learning Engineer with over 5 years of experience working extensively on structured and unstructured data. I specialize in advanced SQL querying, data wrangling, visualization, acquisition, predictive modeling, and building robust Machine Learning, Deep Learning, and Natural Language Processing models using state-of-the-art techniques and tools. My expertise spans statistical analysis, text mining, supervised and unsupervised learning, reinforcement learning, and deploying AI/ML models in cloud environments like AWS and Azure.

I have hands-on experience with a variety of frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers, along with big data technologies like Apache Spark, Hive, and Hadoop. I am skilled in building innovative solutions including generative models, image classification pipelines, NLP retrieval systems, and LLM-based RAG pipelines. Passionate about transforming complex data into actionable insights, I work collaboratively with cross-functional teams to meet business objectives and deliver scalable AI-driven solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Data Scientist/ Machine Learning Engineer at Quantum Code

September 1, 2024 - Present

Responsible for clarifying business objectives and handling data collection, preprocessing, feature engineering, and machine learning modeling including tuning and deployment. Developed time series forecasting models using LSTM, handled imbalanced datasets with oversampling techniques, and utilized SparkML to optimize machine learning algorithms. Built production-grade LLM pipelines, voice-driven factory monitoring systems using AWS Lex and Lambda, multi-text classifiers, and RAG pipelines with OpenAI LLMs integrated with LangChain. Conducted image classification for quality inspection, performed geospatial data analysis, and developed sentiment analysis and summarization models. Leveraged AWS services extensively including SageMaker, EMR, Redshift, and QuickSight. Led model evaluations and built interactive dashboards and performed ETL streaming data pipeline configurations with Azure Databricks. Advocated model adoption through cross-functional collaboration and delivered reusable LL

Graduate Assistant at University of Memphis

May 1, 2024 - August 28, 2025

Engaged in intensive data science fellowship encompassing machine learning, visualization, statistics, and big data analysis using R and Python. Developed predictive models including linear and logistic regressions, clustering, and unsupervised learning. Managed large neuroimaging and behavioral datasets involving cleaning, manipulation, and statistical analysis for clinical trials and various studies. Presented analysis results to internal and external stakeholders.

Data Scientist at Dhanwin Software Developers

July 1, 2022 - August 28, 2025

Performed data manipulation, normalization, and predictive modeling enhancing accuracy and efficiency using Python and R. Implemented big data applications using Hadoop ecosystem tools like Pig, Hive, and HBase. Built customer lifetime value prediction models and churn classifiers using gradient boosting and neural networks. Conducted spatial clustering and visualization, exploratory data analysis, and dashboard creation with Tableau and Python libraries. Trained NLP classification models on maintenance logs, developed data blending and preparation pipelines, and handled full ML lifecycle from prototyping to deployment including CI/CD with SageMaker. Performed advanced statistical analyses and web scraping for data extraction and augmentation.