Experienced Artificial Intelligence and Aerospace Engineer with a robust background in Data Science, Python, and C++ Libraries. Demonstrated success with a 6-year track record in Flight Navigation, Route Planning, and Machine Learning within the Airline industry. Recognized for consistent performance excellence.Key Accomplishments:Secured International Rank 1 in the 2015 NASA Annual Satellite Design Competition, contributing to the Mars 2020 mission.Discovered asteroids and led the launch of a sounding rocket to 24,000ft in IREC, USA.Developed a Humanoid Robot using Raspberry Pi and Python.Contributed to Ion Propulsion Engine development for deep space missions.Presented research papers at the International Astronomical Congress.Designed an All-in-One Agricultural Robot with weed detection, winning the Young Innovator Program by IIT Kharagpur.Skills:Expertise in Machine Learning Algorithms (Regression, Classification, Clustering).Proficient in Python Libraries: Sci-kit learn, SciPy, Numpy, pandas, TensorFlow, Keras, PySpark, PyTorch.Applied skills in projects such as cancer detection, economic trend prediction, and customer churn forecasting.Specialized in Deep Learning and Neural Network Algorithms (CNNs, RNNs, RBMs, DBNs, Autoencoders).Experienced in Image processing, Image classification, and object detection using Python, Pillow, and OpenCV.Adept in designing Aeronavigation charts (Terminal Charts, SID, STAR, IAC).Competent in calculating TKOF and LDG Minima, working with NavBlue Specification.In-depth knowledge of AIP, AIRAC Amendments, and m-ft / QFE-QNH Convention.Open to collaboration and new opportunities in the intersection of Artificial Intelligence and Aerospace Engineering.