Kapil Agrawal
Electrical Engineering and Economics
Hi, I am a final year undergrad student from BITS Pilani, India pursuing B.Tech in Electrical and Electronics Engineering and M.Sc in Economics. I like to study about Product Designing and Management, Statistics and, Finance these days. I enjoy learning about the way Business works, Blockchain technology and like reading more about Cryptocurrencies. Beside this, I have interest in learning Marketing Strategies, tackling different Business Development situations and like solving mental aptitude questions. I am a cricket n tennis fanatic, health enthusiast and love to travel and explore new new places ;)
Interested in setting up an Internet Business. Well, if you are floating in same river with me to setup any valued online project, then we can have discussion and a plan of action over it. :)
Projects At A Glance
Prediction of House prices
Machine learning model created to prerdict house prices, used Multiple linear Regression and compared performance of multiple models using test data. Further optimized the model using Ridge and Lasso regression techniques. Total 21612 datapoints each with 21 attributed were used and important features were found to be squarefeet living, numebr of bedrooms, number of bathrooms, number of floors.
Prediction of Credit Risk
Created the risk model which aims at minimizing the credit risk incurred in the bank. The dataset contained the details about the 65535 customers with each row having 23 attributes of their loan details. Used Decision tree classifier to train the model, implementation was done using the scikit-learn library.
Clustering of countries for expansion of a firm in foreign markets
Built clustering model using food and beverages sales dataset of countries, which makes easier for a frim to take business decisions. Used Hierarchical clustering and K-means to create the clusters.
Web and Mobile Applications
Created web application which finds brief information about any famous street of the world using Wikipedia API and Google streetview API. Designed web-page which lists my favorite movies and show their trailers. Created page to display Restaurant Menu through the Angular JS framework. Built an android app to keep track of score of the basketball match.
Equity Research Initiaive
Analyzed Tata Motors Ltd. for 2 months by performing Fundamental, Technical and Ratio Analysis, also constructed Valuation models for the company
Biometrics : Facial Recognition
Cretaed a facial recognition biometric system which identifies the unlabeled set of face images from the given labeled dataset. Implemented using Fisher Face method which uses LDA algorithm. The accuracy obtained was around 98%. Prepared in partial fulfillment of the Laboratory Project EEE F366 Course.