Amity is a globally famous university with branches in several countries. I have pursued my B.Tech from Amity so I would like to share my experience. Amity is a globally reowned university.
I am an energetic and enthusiastic person who enjoys a challenge and achieving personal goals. I have experience in website development, java programming data entry and android development. The opportunity to learn new skills and work with new technologies is particularly attractive to me. I am confident enough of completing the time bound and target oriented assigned task.
- Name : Deepansh Pandey
- Age : 22 Years
- Phone : (+91) 8826500482
- Email : firstname.lastname@example.org
- Address : Noida, Uttar Pradesh
Computer technology is so built into our lives that it's part of the surround of every artist. So far, I have done some projects from small data entry work as freelancer to developing windows and andriod applications. I have done few interships and training which helped me to enhance my skills and implement them in IT industry. I have rated myself in following skills on scale of 10.
I have undergone training at various institutes. This helped me to gain specific knowledge as well as lots of experience and confidence to complete any task.
May - June 2013
This course is offered by Aptech, Bharatpur in which I participated and completed successfully. There i have been taught basics of java programming. During the course i have 6 hours of lab session which helped me to enhance my skills.
I pursued Winter Training at i3indya technologies on Ethical Hacking and Cyber Security where i have learnt how to overcome viruses and bugs in the system. I also learnt about cryptography and its methods.
International Journal of Software and Web Sciences
In the digital era, on average a user receives hundreds of mail per day of which many of them are irrelevant mails. There is lot of work going on in the field on classifiers but there is no definite algorithm or method available for email classification. This paper researches an approach to classify such mails so that user response time can be decreased with increase in efficiency using supervised learning techniques. We have experimented on the efficiency of prominent Naive Bayes, Maximum Entropy and Support vector machine techniques by creating own dataset. The highest efficiency technique is used for developing the system. The well-known application of email classifiers are spam filters. We have taken this one step forward by developing a system that can automatically classify the mails and assign them to different folders labelled as "Social", "Primary" and "Promotion" on the basis of specific keywords mapping rules that are described in the machine learning algorithm during the training period.Download Research Paper IJSWS Website