Nitin Jangir


nitinjangir356@gmail.com

Currently 4th year UG at IIT Kanpur 🏫, majoring in Civil not by choice but here in software by choice 😎. I developed myself on the web over the last few years. I have a handful amount of experience in software as in past worked as a Software Engineer 👨‍💻. I have been trying to know more about HFT(High Frequency Trading) space for now. Apart from technical, Economics is my first ❤. Hopefully will pursue that sometime.

Internship Experience

Product Engineer

PNAPAAO
  • Provided strong leadership and effective interdepartmental communication to effectively meet or exceed all project timelines and budgetary goals
  • Served as a liaison between operations and information technology (IT) to identify and drive implementation of solutions and resolve issues surrounding the complex deployment of international platforms.
  • Implemented programs that result in substantial cost savings while improving and modernizing technology infrastructure to better serve customer needs.
May 2022 - July 2022

Software Developer

PNAPAAO
  • Debug the code using Chrome Dev Tools and made the website more user friendly.
  • Restructured code and designed the user-end of an online learning platform
  • Worked to build an API like Commento using NodeJS, ReactJS to make it like a script which can be added to website and can be used for discussion.
May 2022 - July 2022

Education

IIT Kanpur

B.Tech, Civil Engineering
August 2019 - May 2023

Ravindra Public School

Secondary Education
May 2016 - Apr 2018

Skills

Programming Languages & Tools
  • Programming: Python, C
  • Frontend: ReactJs, JavaScript, CSS, HTML, Bootstrap, Wordpress
  • Utilities: Numpy, Pandas, Tensorflow, Matplotlib, BeautifulSoup, XML, Github, AutoCAD, Fusion360
  • Backend: NodeJS (ExpressJS), MongoDB, SQL
  • Server: Docker, Kubernetes, Heroku
Areas of interest
  • Machine Learning
  • Computer Vision
  • Data Analyzing
  • Full Stack Development

Projects

HSO201 Research Paper (Course Project)

PROF.S.K. Mathur, IIT Kanpur
  • A study on the probability that a customer will renew their insurance Premium
  • Analyzed a dataset consisting of 17 parameters for approximately 80000 customer observations to predict the probability that a customer defaults on their insurance premium payment.
  • Performed Data Visualization, Exploratory Data Analysis. Data pre-processing included outlier treatment and data normalization.
  • SMOTE was used to deal with imbalance in the dataset.
  • Used two models: Logistic Regression and Random Forest, and achieved highest accuracy of 90% with minimum loss of 4% and AUC of 97% with Random Forest.
Jan 2021 - April 2021

Bone Marrow Transplant Project (Course Project)

PROF.FAIZ HAMID, IIT KANPUR
  • Using Data Mining techniques to analyse current market trends, achieving a 99% accuracy.
  • Implemented Machine Learning techniques to analyse final Survival Status.
  • Implemented the model techniques of Decision Tree, Random Forest, K-Nearest Neighbour, AdaBoost, Logistic Regression.
  • Brief introduction of Artificial Neural Network, Support Vector Machine.
  • Used Ensembling Methods like AdaBoost,Random Forest, Bagging for Improvement of Accuracy and Variance of Model etc.
May 2022 - July 2022