About

Nikhil Yadav is a highly motivated and enthusiastic learner currently pursuing post-graduation in Information Technology and Artificial Intelligence from KIET Group of Institutions. With a keen interest in Python, Machine Learning, Deep Learning, NLP, My SQL, and Power BI, he has gained valuable experience in the field of Data Science, with 10 months of experience as a Data Analyst with Accenture. Nikhil is highly skilled in pre-processing large datasets and handling time series data. He has extensive experience in building and training Machine Learning models using Linear Regression, Random Forest Classification, AdaBoost, XGBoost Classification, and Voting Classifier. He is also proficient in analyzing the accuracy of the Model Prediction using Classification Reports, Confusion Matrix, and AUC Score. He is able to plot prediction graphs using Matplotlib Library to show the relation between time and price. Nikhil has worked as a Machine Learning Engineer with Ineuron and as a Data Science Intern with Testrinx Software Solutions. In his previous role, he was responsible for pre-processing large datasets and building Machine Learning models. He has also worked on handling time series data and analyzing the accuracy of the Model Prediction. Nikhil's education background includes a Bachelor of Computer Application degree from CCS University and he is currently pursuing a Master of Computer Applications in Artificial Intelligence and Machine Learning from KIET. He has also completed his 12th from SCAMemorial Sr Sec Public School (BSR). Nikhil is proficient in SQL, ML, Deep Learning, NLP, Python, Data Scientist, AI, XGBoost, and Random Forest. He is open to internship opportunities where he can learn new things and utilize his skills in the best possible manner. Nikhil is available on all coding and social media platforms with the username yadavnikhilrao. With 0.76 years of relevant experience, Nikhil is a highly skilled and motivated individual with a passion for learning and growing in the field of Data Science.