Data Scientist & Analyst Skilled in Power BI, Tableau, Python, Greatl, MySQL @HazaamData
Build a classical mean-variance model to an investment in real financial market. Allowing the invester to select a stock and shares to invest in. In addition to that allowing invester to glance into the future for specific stocks before investing.
Build a model for client that uses Scikit-learn random forest classifier to predict whether the user is going to be a defaulter or not in future a model trianed on previous data. Model was trained on open source data from kaggle, model performed 95% accurately on large dataset.
Analyzed covid-19 (omicron varaint) to detect the spread of virus with python tool. I performed step by step analysis to closely monitor the cases by country. Perfermed exploratory data analysis on data and came up with data driven decisions.
Vehicle insurance fraud involves conspiring to make false or exaggerated claims involving property damage or personal injuries following an accident. Some common examples include staged accidents where fraudsters deliberately “arrange” for accidents to occur. This Ml project trained on suffient amount of historical data from clients and it can easily tells if the client is going to be fraudent or not in future.
Build a beautiful dashboard with charts and graphs that talks about the survey data, data is from various countries which talks salaries and profession
Trained a deep learning model for classification of dog breed. Performed excellent on large amount of images data with 95% accuracy.
Uber data analysis with python to determine the trips, days , hours and location of clients.