As a dedicated and highly skilled Data Scientist and Python Developer, I bring a unique blend of technical expertise and hands-on experience in Python, R, SQL, Docker, Huggingface, Streamlit, etc. My academic foundation, with a Master's in Data Science from Northeastern and a Bachelor's in Computer Engineering from GTU, complements my extensive professional background.

With a strong focus on Data Science, Machine Learning, Deep Learning, Time Series, LLMs, AI and other topics trending, I have honed my skills through impactful roles in my professional career. My contributions have spanned developing forecasting systems, building ETL pipelines, deploying anomaly detection applications, and creating machine learning models that drive actionable insights and business growth.

At Northeastern University, I served as a Graduate Teaching Assistant, where I leveraged my expertise to guide students in deep learning and data mining, enhancing their understanding of complex concepts. My proficiency in tools and frameworks like PyTorch, TensorFlow, Huggingface, Docker, and Azure, combined with my practical experience in building and deploying analytic models, data preparation, and pipeline management, positions me as a versatile and innovative data scientist.

I have successfully led projects such as developing a deep learning model for visual grounding, constructing multi-layer perceptron models for medical predictions, and implementing retrieval augmented generation pipelines for business intelligence. My ability to address class imbalances, optimize hyper-parameters, and achieve high accuracy in model predictions showcases my analytical acumen and problem-solving capabilities.

My professional journey is characterized by a commitment to excellence, a passion for data-driven decision-making, a relentless pursuit of innovation, consistently delivering results and a life-long learning mindset. I am eager to bring my skills and experience to a dynamic team where I can contribute to cutting-edge projects and drive meaningful outcomes.

						Code/ Cloud	Frameworks	Softwares	IDEs/ Version	I contribute to

💰 GDP Visualisation	🔁 Neural Style Transfer	👴🏻 Life Expectancy Prediction
👨🏻‍💻 Feature Analysis	🛒🛍️ Product Sales Analysis	💉 Diabetic Classification
🎭 Sentimental Recommendation System	🗣️ Neural Machine Translation	🌆 Image Search Based Discovery Engine
🖼️ Visual Grounding	🏭 Commodities Trade Support	🗄 Retrieval Augmented Generation
🏛 Portfolio Optimization	🌿 ESG Analysis with LLMs

• Leadership Skills
• Communication Skills
• Team Work
• Self Starter
• Problem-solving Skills
• Keen and Curios
• Time Management
• Problem Solving abilities