About

Aman Dixit is a data scientist and enthusiast with a passion for finding intricate details in data and solving business case studies. He is proficient in Python programming and has a good understanding of data cleaning and modeling. Aman is currently seeking opportunities in the field of data science and has a skillset that includes Python, SQL, Tableau, machine learning algorithms, statistics, exploratory data analysis, data wrangling, data warehousing, feature engineering, web scraping, Jupyter notebook, Github, and Kaggle. Aman has experience in various machine learning algorithms such as regression (linear/multiple/ridge/lasso/tree-based regression), classification (naive Bayes/SVM/random forest/decision trees), and clustering (k means/hierarchical). He holds a post-graduate program in Data Science and Engineering and a Bachelor of Engineering degree. Currently working as an Analyst in Data Science at Ugam, Aman has experience in tools and technologies such as Pyspark, SQL, Qubole (Data lake), Python, data modeling, tuning, cross-validation, and reporting. He has previously worked as a Business Operations Specialist, Automation at Amazon, where he used Python, webscraping, and SQL for database queries. He has also worked as a Data Science Trainee at Great Learning. Aman's education history includes a Post Graduate Program in Data Science & Engineering from Great Lakes Institute of Management, a Bachelor's Degree from Rajiv Gandhi Prodyogiki Vishwavidyalaya, and a Science Stream degree from Kendriya Vidyalaya. Aman's tech stack includes SQL, Python, ML, data scientist, NLP, research scientist, Jupyter, random forest, naive Bayes, SVM, web, pandas, seaborn, Selenium, Scikit, test, Javascript, ETL, supervised learning, data engineering, Tensorflow, MySQL, MongoDB, and Salesforce. With 2.86 years of relevant experience, Aman is a valuable addition to any data science team.