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Shashank Chhoker

@shashankchhoker

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Data scientist with a passion for actionable insights and analytics.

India

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What I'm looking for

I am looking for a role that fosters innovation, encourages continuous learning, and allows me to make impactful contributions through data.

I am a dedicated data scientist with a year of experience in data engineering and analytics. My expertise lies in statistical analysis, machine learning, and developing scalable data solutions. I am passionate about deriving actionable insights that drive business decisions and am committed to continuous learning in the ever-evolving field of data science.

Currently, I work as a Junior Data Scientist at Orange Data Tech Pvt Ltd, where I have developed chatbots using Open LLMs and authored a case study on connecting databases with LLMs. My role involves extracting data from unstructured sources and gathering real-time performance data from IoT devices, which has led to significant improvements in battery usage and device lifespan.

Previously, as an Associate Software Developer, I conducted in-depth data analysis and developed automated pipelines to enhance data processing workflows. My technical skills include Python, SQL, and various cloud services, which I leverage to optimize data structures and improve overall efficiency.

Experience

Work history, roles, and key accomplishments

Current

Junior Data Scientist

Current

Orange Data Tech Pvt Ltd

Sep 2024 - Present (9 months)

As a Junior Data Scientist, I developed chatbots using Open LLMs, authored case studies on database interactions, and extracted data from unstructured PDFs. I gathered real-time performance data from IoT devices, optimizing battery usage and extending device lifespan through machine learning processes.

Python Data Extraction Machine Learning IoT Data Analysis SQL Database Management Chatbot Development

Associate Software Developer

Orange Data Tech Pvt Ltd

Jan 2024 - Sep 2024 (8 months)

In my role as an Associate Software Developer, I conducted data analysis using Python in MS Fabric, utilized DataFlow for data transformations, and developed automated pipelines. I also implemented SQL views and stored procedures to enhance data processing efficiency and performance.