Noida, Uttar Pradesh, India
I am a Machine Learning Engineer with hands-on experience in building end-to-end machine learning systems, time series forecasting models, and Generative AI applications. Currently working as a Data Science Intern at Soojh AI, where I work on real-world datasets to develop machine learning solutions, perform exploratory data analysis, and build predictive models. My experience covers the full ML lifecycle including: • Data preprocessing and exploratory data analysis (EDA) • Feature engineering and model development • Model evaluation and performance optimization • Building APIs for ML models using FastAPI • Developing Generative AI systems using RAG and LLMs Technical Skills: Python, Pandas, NumPy, Scikit-learn, SQL, FastAPI, Machine Learning, Deep Learning, Time Series Forecasting, Generative AI (RAG, LLMs), Data Analysis, Feature Engineering. I enjoy solving real-world problems using data and AI and I am actively seeking opportunities as a Machine Learning Engineer or Data Scientist. Feel free to connect or reach out: [email protected]
At Soojh AI, I contributed as a Data Scientist, focusing on building machine learning models and performing data analysis. My role involved utilizing Python and scikit-learn to analyze structured datasets and conducting exploratory data analysis with Pandas and NumPy. I developed time series forecasting models for predictive analytics and collaborated with the team to create scalable ML pipelines and APIs.
During my internship at Edunet Foundation, I contributed to the development of a healthcare diagnosis system using machine learning. I focused on data preprocessing and feature engineering to enhance model performance. Additionally, I trained and evaluated supervised ML models with scikit-learn, visualizing results to effectively communicate insights. This experience deepened my understanding of machine learning applications in healthcare.