Hello! I am

Divya Krishnani

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About

About Me

I am a Computer Science and Engineering Graduate from IIIT Naya Raipur. Data Science and Software Engineering are the major areas of my expertise and interest. I am open to opportunities to gain experience and further enhance my knowledge in the field of Data Mining, Machine Learning, Deep Learning and Computer Vision.

  • Name: Divya Krishnani
  • Date of birth: February 2, 1998
  • College: International Institute of Information Technology (IIIT) Naya Raipur, India
  • Email: div.krish02@gmail.com
    divya16100@iiitnr.edu.in

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Education

2016-2020

Bachelor of Technology in Computer Science and Engineering

IIIT Naya Raipur, India

CGPA: 9.12
Courses: Data Structures And Algorithms, Design And Analysis Of Algorithms, Discrete Mathematics, Numerical Methods And Random Process, Vector Calculus And ODE, Computer Organization, Introducation To Computers & Programming, Database Management System, Network Analysis, Cryptography, Object Oriented Methodologies, Artificial Intelligence, Data Mining, Formal Language And Automata Theory, Software Engineering, Operating System, Machine Learning, Big Data, Computer Vision, Compiler Design, Deep Learning

Course Structure - Batch 2016-2020 IIIT NR Official Document

2014-2016

Intermediate/ +2 (Physics,Chemistry,Mathematics)

KPS Bhilai, India

CBSE Board, Class 12th Percentage: 90%

2014

Matriculation

Holy Cross Sr. Sec. School Pension Bada Raipur, India

CBSE Board, Class 10th CGPA : 9.0

Experience

July 2020 - Present

Software Engineer

Microsoft, Hyderabad, India
Jan 2020 - June 2020

Software Engineer Intern

Microsoft, Hyderabad, India
May 2019 - July 2019

Software Engineer Intern

Microsoft, Hyderabad, India

Performed Data Analytics on Microsoft Devices Design Data. Leveraged Azure ML Studio, Azure Web Services and PowerBI for implementation.

May 2018 - July 2018

Research Intern

University of Malaya, Kuala Lumpur, Malaysia

Developed a Computer Vision and ML-based framework to classify a persons abnormal behavior through posting images in social media. Presented the work in Data Science Research Symposium, University of Malaya. E-Proceedings

Dec 2017 - Jan 2018

Image Processing Intern

Fedo(Speslabs Private Limited), Bangalore, India

Worked on the image processing part of the model to predict individual risks for diseases by extracting useful text information from low quality images using various image transformations and techniques for analysis

Projects

Neural Image Captioning

Implemented Show and Tell captioning model by Google using CNN and LSTM to extract features and generate captions using the Flikr8K dataset. Improved the results by modifying the CNN model for image feature extraction.
Tech Stack: Python, Keras

Early Prediction of Coronary Diseases using Machine Learning

.
Implemented a Machine Learning based model to predict the risk of chronic diseases using existing coronary heart disease dataset with an accuracy of 96.8%.
Tech Stack: Python, Keras

Road Detection for autonomous driving systems

Developed a Image Processing based model to detect roads in videos for autonomous vehicles. Optimized the model to work for different light conditions in a day.
Tech Stack: Python, OpenCV (Open Source Computer Vision Library)

Real-Time Face Recognition Tracking and Tagging in Video

Implemented a Face Recognition Model to recognize a person’s face in crowd specifically in video surveillance of IIIT Naya Raipur using CNN for face alignment, google’s pre-trained model inception and facenet.
Tech Stack: Python, TensorFlow, Scipy, Sklearn, OpenCV

Person Abnormal Behavior Identification through Social Media Images

Designed and implement a Machine Learning Based framework comprising a Multi-Modal based Approach for identifying a Person’s Abnormal Behavior through images posted in Social Media.
Tech Stack: Python, OpenCV (Open Source Computer Vision Library)

Student Registration System

Designed a web-based framework to manage the admission process of BTech candidates in IIIT-NR staring from registration to seat allotment for CG state students based on IIT-JEE Mains scores.
Tech Stack: Django, Python, HTML5, CSS, Javascript, Bootstrap Framework

Hostel Management System

Developed a web application to handle various activities of a hostel handling students information, feedbacks and complaints.
Tech Stack: HTML5, CSS, Javascript, Twitter Bootstrap Framework, LAMP(Linux, Apache, MySQL,PHP)

Online Student Feedback System

Designed a web application for collecting feedback from students about services offered by Information Technology and Communication(ITC) of IIIT Naya Raipur.
Tech Stack: HTML5, CSS, Javascript, Twitter Bootstrap Framework, LAMP(Linux, Apache, MySQL,PHP)

Skills

C/C++

9

Java

7

Python

8

Databases - MySQL,Postgre SQL

8

Frontend - HTML,CSS,Bootstarp

9

Backend - Django,PHP

9

Data Science, Machine Learning

8

Distributed Systems, Big Data

8

ML Libraries - OpenCV, Tensorflow, Keras

9

Azure

7

C#

7

Azure Cognitive Services

9

Publications

IEEE
https://ieeexplore.ieee.org/document/8929434

D. Krishnani, A. Kumari, A. Dewangan, A. Singh, N. S. Naik, “Prediction of Coronary Heart Disease using Supervised Machine Learning Algorithms,” TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON), Kochi, India, 2019, pp. 367-372.

Springer
https://doi.org/10.1007/978-3-030-41404-7_42

D. Krishnani, P. Shivakumara, T. Lu, U. Pal, R. Ramachadra, “Structure Function based Transform Features for Person Behaviour-Oriented Social Media Image Classification”, 5th Asian Conference on Pattern Recognition (ACPR), 2019.

Data Science Research Symposium
E - Proceedings

D. Krishnani, P. Shivakumara, T. Lu, U. Pal, “Person Abnormal Behaviour Identification through Posting Images in Social Media”, Data Science Research Symposium, 2018.

Achievements

Hackathon

Secured 2nd position in the ideation phase of Microsoft Hackathon Kick-start 2019

Data Science

Secured 1st position in Backyard Data Science event in Technovate 2019 IIIT Naya Raipur

Coding - ACM ICPC

Qualified ACM-ICPC 2018 Gwalior Regionals, college rank 2, AIR 618, Regional finale rank 98

Github

Secured 1st position in Octocat Design by GitHub in HackDUnhackD (Hackathon, Technovate 2018 IIIT NR)

Finalist

Top 5 of 50 teams in Aavartan (Technical Fest NIT Raipur), National Science Exhibition

Coding

CodeChef SnackDown Online Qualifier 2017 with 3887 position in Pre-Elimination Round

National Science Olympiad

State Rank- 14 and International Rank- 267 in 2nd Level SOF-18 NSO.

Contact

Contact Me

Address

Raipur, India