Siddharth Yadav

Responsible and motivated student ready to apply education in the workplace. Offers excellent technical abilities with Data Science and Analysis, ability to handle challenging work, and excellent time management skills.

· “Identification and mechanistic exploration of structural and conformational dynamics of NF-kB  inhibitors: rationale insights from in silico and in vitro studies” Srivastava, A. K., Srivastava, S., Kumar, V., Ghosh, S., Yadav Siddharth , Malik, R., Prasad, R. Journal of  Biomolecular Structure and Dynamics (2023).

· “Automating the Indian transportation system through intelligent searching and retrieving with Amazon Elastic Compute Cloud.”, Siddharth Yadav, Dr. Dileep Kumar Yadav, Dr.Anil Kumar Budati, Manoj Kumar, Ajay Suri, IET Networks ,Wiley Journal, November 2021.

· “Approach for Searching Data and Implementation in Travelling System for Best Results using Algorithms.” Siddharth Yadav, Dr.Dileep Kumar Yadav, IJSREM Journal, Volume 04,Issue 06,June 2020.

● Attended a workshop on Text mining in the legal Documentation system, Thapar University, 2021.

● Attended a workshop during my B.Tech in Artificial Intelligence in traffic systems organized by Galgotia’s University, April 2019.

● Completed an additional course on Business Analytics during my bachelor’s program, September 2020.

● Completed certification courses in Python and C language and Android.

● Volunteered to work with an NGO that distribute study material to the local poor children and helped them with their doubts.

● Won an Inter School Football Championship, Montfort Senior Secondary School.

• Teeth Detection, Counting, and Numbering using Machine Learning and Deep Learning
• In this project Otsu’s Threshold is used to differentiate between teeth cavities and the surrounding by assigning them with white and black color respectively.
• The image classification techniques were used, especially the algorithm K-nearest neighbor was used to compare images of cavities detected with original images of teeth.
• Tools: Python, OpenCV, Machine learning,Deep Learning,KNN, NumPy and Pandas.
• Shortest Route Prediction for Passengers Using MySQL and Hadoop
• The objective was to predict the shortest route for any passenger traveling and can be implemented on roads to ensure travel in least time and cost. The algorithm used was the Shortest Route First algorithm.
• MySql was used in building the database to save all the traveling data. The data is differentiated by classification, which is done by Multiple Regression, and the result is used further to train the machine learning algorithm, such as the Big Data Hadoop and SVM.
• Tools: C,MySQL,Big Data Hadoop and Support Vector Machine.