I am a data science postgraduate student with a strong background in mathematics, statistics, and programming along with computer networking skills .I am proficient in Python, R, and SQL, and I have experience with a variety of data mining and machine learning techniques. I am also an excellent communicator and presenter.
In my previous role as a research Data Scientist and Machine learning intern, I was responsible for collecting, cleaning, and analyzing data to identify trends and patterns. I also developed and implemented data mining and machine learning models to predict customer behavior. My work resulted in a significant increase in sales for the company.
Also work in multiple projects such as Predictive Analysis of Morgage Loan Analysis , B2B Analysis , Customer churn Analysis along with model deployment over Flask and Streamlit
Held multiple trainings regarding ML over Kaggle and different website. Mostly courses such as Data Cleaning, EDA ,Feature Engineering and Model building. Applying multiple algorithms of ML such as linear and k- mean algorithm over multiple projects that are included in GitHub Projects: BigMart Sales Outlet, Predictive Modelling on Mortgage Backed Security Prepayment using ML & P2P Predictive Modeling on Prosper Bank Loan and Fund raising Prediction of new startups using ML Techniques etc.