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@anshsharma
Data Scientist and Machine Learning Engineer with AI expertise.
I am a Data Scientist and Machine Learning Engineer with hands-on experience in developing and deploying AI solutions across various domains, including computer vision and deep learning. My proficiency in Python, TensorFlow, and YOLO, combined with cloud deployment skills using AWS, enables me to create scalable, real-world AI solutions that drive business impact.
In my current role as an Associate Data Scientist at Tamar Software LLP, I have successfully built real-time object detection systems that achieved an 84% accuracy improvement. My previous experiences include internships and roles where I designed predictive models, developed RESTful APIs, and created insightful dashboards, all while collaborating with cross-functional teams to ensure seamless integration and user experience.
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Work history, roles, and key accomplishments
Tamar Software LLP
Jul 2024 - Present (1 year 4 months)
As an Associate Data Scientist, I built real-time object detection systems using YOLOv8, achieving an 84% accuracy improvement. I also deployed ML models on AWS EC2 for scalable, production-grade AI pipelines.
Obdure Infotech
Dec 2023 - Feb 2024 (2 months)
As a Backend Engineer, I developed and optimized RESTful APIs using Python and Flask, improving data retrieval speed by 30%. I collaborated with frontend teams to integrate backend logic for a seamless user experience.
PhysicsWallah (PW Skills)
Sep 2023 - Jan 2024 (4 months)
During my internship, I designed and tested predictive models using Python, NumPy, and Pandas on real-world datasets. I gained hands-on exposure to LLM frameworks like LangChain and applied prompt-based techniques.
ICT Academy (with Honeywell)
Sep 2023 - Sep 2023 (0 months)
In my role as a Data Analyst Trainee, I developed dashboards using Power BI and conducted data analysis with MySQL and Azure SQL, delivering insights and visual reports aligned with real business scenarios and KPIs.
Degrees, certifications, and relevant coursework
Bachelor of Technology, Computer Science Engineering
2020 - 2024
Grade: 7.3
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