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Siddhant Batra

@siddhantbatra

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Aspiring data scientist with expertise in machine learning and analytics.

India

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What I'm looking for

I am seeking a dynamic role that fosters innovation, collaboration, and growth in AI and data science.

I am a dedicated and passionate electrical engineering student at IIT Bombay, specializing in Artificial Intelligence and Data Science. My academic journey has been marked by significant achievements, including ranking among the top candidates in various national examinations and receiving prestigious fellowships. I thrive on challenges and have a strong foundation in machine learning, data analysis, and software development.

Currently, I am working as a Data Scientist at Compound Express, where I develop advanced Retrieval-Augmented Generation Agents and deliver actionable business insights through data analytics. My experience includes internships at Sentry AI and Schlumberger, where I honed my skills in deep learning and model deployment. I have also led impactful projects in medical image synthesis and natural language processing, showcasing my ability to innovate and collaborate effectively.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

DSP Asset Managers

May 2024 - Present (1 year 3 months)

Developed RAG Agents, integrating multiple databases with advanced LLMs through prompt engineering and generating charts and graphs for data visualization and financial insights. Analyzed sales data and market share to uncover actionable business insights, delivering weekly nuggets and monthly reports to inform strategic decision-making and drive performance improvements.

LLMs)Prompt Engineering Data Visualization Financial Analysis Sales Data Analysis Business Intelligence Big Data Analytics

Research Intern

Sentry AI

Jan 2024 - Present (1 year 7 months)

Inferenced over 20 models including Detectron2, Yolov9, and EfficientDet for object detection use-cases. Pioneered and executed fine-tuning techniques on selected models for internal datasets to improve mAP scores.

Deep Learning Object Detection Model Inference Model Fine Tuning Detectron2 Yolov9 EfficientDet MAP Scores Computer Vision YOLOv9

Machine Learning Intern

Schlumberger

May 2023 - Present (2 years 3 months)

Fine-tuned multiple edge models for multi-class semantic segmentation and classification tasks. Examined state-of-the-art models such as MobileOne and DeepLab for multi-class semantic segmentation.

Machine Learning Classification MobileOne Model Fine Tuning Imbalanced Data Computer Vision

Machine Learning Intern

YoZu, Edtech Startup

Nov 2021 - Present (3 years 9 months)

Designed and developed an Automatic Speech Recognition (ASR) system, creating a voice activation system that validates user utterance of a wakeup command to trigger system response. Refined the ASR model to recognize words from user’s input using speech analysis and deep learning techniques.