I am regularly active on Kaggle Data Science Platform and loves to participate in data science competitions. You can check my work here on my Profile I am passionate about to learn the businesses who makes data driven decisions and solutions , my main interests lies in Data Science , Machine Learning , Deep Learning , Natural Language Processing.
Projects
Plant Disease Prediction
Developed Resnet50 Deep Learning Model to predict diseased plant leaves, which can be helpful for farmers to know about disease of their crops
Stroke Prediction
Classification Model to predict probablity of Stroke based on health features , which is second leading cause of deaths in the world
Crime Against Women In India Analysis
Analyzed Crime Against Women in India from 2001 to 2014 , which describes increasing crime rate against women
Heart Attack Analysis
Heart Attack cases is very lethal in India . Crosses 1 crore cases every year . Analyzed and developed a model which can be helpful for doctors for early detection of heart attack based on health features such as cholestrol
Cotton Plant Disease Classification
Developed Deep Learning Model(Inception V3) to classify whether the cotton plant is infected or not , which can helpful for farmers to take preventive measures
Machine Learning Intern , June 2021 - August 2021 | New Delhi , India
1) Developed a UFC Fight Prediction Model which can assist user to find out probable winner of the fight
2) Researched about Accounting Anamoly Detection of financial statements and acquired knowledge about Natural Language Processing and its techniques
3) Worked on 2D to 3D reconstruction of a human face image by referring Deep Learning based Research paper and also worked on development of Flask API
4) Tools and Techniques Used : Numpy , Pandas , Seaborn , Matplotlib , Feature Engineering , Web Scraping , Flask , Tensorflow
IoT Intern , June 2019 - August 2019 | New Delhi , India
1) Worked on developing a product for a company named Auto AC temperature locking system
2) Used Wifi Module(ESP8266) and other hardware components to implement the project
3)Used WireShark to catch UDP packets for further development
4) Technology Used: Arduino IDE, WiFi Module, Wire Shark ,ilearnzip
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Preformatted
i = 0;
while (!deck.isInOrder()) {
print 'Iteration ' + i;
deck.shuffle();
i++;
}
print 'It took ' + i + ' iterations to sort the deck.';