Abhitesh Singh

I am an analytical and detail‑oriented AI/ML enthusiast with a strong foundation in predictive modeling, data visualization, and reinforcement learning. My journey began with a B.Tech in Electronics and Communication Engineering from Guru Nanak Dev University, where I maintained a CGPA of 8.79. Over time, I’ve honed my skills in Python, SQL, TensorFlow, PyTorch, and Power BI, applying them across diverse domains such as aerospace, agriculture, and cybersecurity. I’ve gained practical experience as a Data Analyst Intern at OXO IT Solutions, where I built a job‑market analytics dashboard, automated data pipelines, and collaborated in Agile sprints. My projects reflect both technical depth and real‑world impact: from predicting SpaceX Falcon 9 booster landings with 87.5% accuracy, to developing a hybrid deepfake detection system with 94% accuracy, and designing a reinforcement learning‑based smart irrigation controller that reduced water usage by 30%. Alongside these, I’ve earned certifications from IBM, Microsoft, J.P. Morgan, and others, strengthening my expertise in data science and generative AI. I thrive on open‑source ML, competitive programming, and building recruiter‑friendly demos that showcase my ability to turn complex datasets into actionable insights.