About

Janardan Pandey is a highly skilled Software Engineer with expertise in Python, SQL, MongoDB, Machine Learning, and Django. He is a Machine Learning and Analytics enthusiast with hands-on knowledge of using statistical modelling concepts to solve a wide variety of problems on large datasets using Machine Learning with Python. He has worked with different complex data using matplotlib, pandas, numpy, sklearn using Jupyter Notebook tool. Janardan has 2.69 years of relevant experience and has worked on multiple projects. One of his notable projects is Customer Service Request Analysis and SLA automation, where he collected incidents data from the MongoDB server and created SLA Collection in order to store the SLA time along with all attributes. He integrated Flask with MongoDB to dump the SLA Report, deployed API on Prod server and pushed the local changes to prod as per the requirements. The library used for this project includes Flask, Pandas, Datetime, jsonify, pymongo, ssl. Another project that Janardan worked on is Medical No-show Prediction, where he performed data cleaning and data pre-processing of more than One Million Records. He built and trained an ML model using Logistics Regression, Random Forest, Decision Tree Classifier, Cross Validation. He handled imbalanced classification data and Modeling with Oversampling using SMOTE. To find the accuracy of the model prediction, he used Confusion Matrix, AUC Score. Janardan is currently working as an Associate Software Engineer at Lincode India, where he is responsible for developing back-end applications. Prior to this, he worked as a Back End Developer at Lincode India and a Data Analyst at i3infosoft. Janardan holds a Bachelor of Science degree in Computer Science from the University of Allahabad, where he studied from 2017 to 2020. He also completed his Intermediate education in Computer Science from Bishop Johnson School and College from 2011 to 2016. Janardan's technical skills include Software Engineering, ML, SQL, MongoDB, Python, Django, Random Forest, Pandas, Flask, Jupyter, Backend, and Scikit.