adbsa9@r.postjobfree.com +91-814*******

Profile Summary

Offering nearly 5 years of rich experience as Lecturer/ Professor Exposure in defining business problems, work with and manipulate data, develop data science and analytical algorithms & solutions, and develop analytical models into production environments Conducted research & developed advanced statistical and machine learning models for large-scale, high-dimensional data using algorithms

Sound knowledge in developing tools & reports that help users access and analyze data resulting in higher revenues & margins and a better customer experience; skilled in performing analysis of large data sets with the purpose of understanding or making conclusions for decision-making purposes Attended International Conference on “Augmented Map based Traffic Density Estimation for Robot Navigation", IEEE TENSYMP 2018 at Sydney, Australia and in National Conference presented a poster in Grace Hopper Conference of India at Bengaluru in 2016

Expertise in Data Science - Machine Learning Algorithms and Deep Learning Algorithms Successfully wrote Thesis on Predictive Hierarchical Human Augmented Map Generation for Itinerary Perception, A Convolutional Feature Map-based Deep Network targeted towards Traffic Detection and Classification, Scene Perception System for visually impaired based on object detection and classification using multimodal deep convolutional neural network

Subject Matter Expert for bringing about challenging & innovative teaching/learning atmosphere which empowers the active learner; a high-quality student experience, through a comprehensive network of student support & guidance services

Knowledge Purview

Technical Solution

Designing

Statistical Analysis/

Data Modelling

Design & Development

Risk Analytics

Big Data Analytics

Visual Analytics

Requirement Gathering

& Analysis

IT Skills

C, C++, R, Python, MATLAB,

Torch, LaTeX, Deep Learning,

Machine Learning

Academic Details

Ph.D. (Thesis Submitted) from Thapar Institute of Engineering. and Technology, Patiala in 2019 with 8 CGPA

Topic: Augmented Map Based Intelligent Navigation System M.Tech. (IT) from Guru Nanak Dev University (GNDU), Amritsar with 68% in 2008

B.Tech. (CSE) from Amritsar College of Engg. and Tech., Amritsar with 70.4% in 2006

Publications

Jun'16 Predictive hierarchical human augmented map generation for itinerary perception

https://digitallibrary.theiet.org/content/journals/10.1049/el.2016.0397 Model: Gaussian process has been used to prepare the model for augmented maps.

Dataset: Dr. Robot has been used for the collection of data. Application: For estimating traffic density in indoor environments. Jan'19 A Convolutional Feature Map-based Deep Network targeted towards Traffic Detection and Classification

https://www.sciencedirect.com/science/article/pii/S0957417419300144 Model: Developed a deep network that used the convolutional features of pre- trained network and further fine-tuned.

Dataset: PASCAL VOC, Caltech, KITTY, APOLLO, Cityscapes and self-created Application: This network has been trained for object detection and classification.

BALJIT KAUR

An academician with a track record of implementing norms, systems & controls, motivational schemes & education standards during the career span, targeting Data Science assignments with an organization of high repute

Jan'19 Scene perception system for visually impaired based on object detection and classification using multimodal deep convolutional neural network

https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging/volume-28/issue1/013031/Scene-perception- system-for-visually-impaired-based-on-objectdetection/10.1117/1.JEI.28.1.013031.short?SSO=1 Model: Network has been trained using multimodal features. Various features such as edge features, scale space features and optical features have been fused using addition operation and then used for training purpose. Blur effect has also been considered for evaluating and training the network. Dataset: PASCAL VOC, Caltech and self-created

Application: For visually impaired individuals

Organizational/ Research Experience

Jul'14 – Jul'19

Research Scholar at Thapar Institute of Engg. and Tech. Model: Designed a CNN-based model named NoC (Network on Convolutional features) for object detection and classification

Datasets: Various datasets such as PASCAL VOC, Caltech, KITTY, APOLLO, Cityscapes and self-created have been used for evaluating the performance of model.

Application: Built a system for social cause i.e. for visually impaired people. The system can detect and classify the object and warn the user with its identity and distance also. Comparison: Analyzed performance of various pre-trained networks such as RCNN, Fast RCNN, Faster RCNN, YOLO and compared with the proposed network

Jul'18 - Dec'18

Thapar Institute of Engg. and Tech., Patiala as Teaching Assistant Assisted students on the topics related to Artificial Intelligence and supported to work in Latex as well as taught C++ to students,

Jun'11 – Dec'13

Lala Lajpat Rai Institute of Engg. and Tech., Moga, Punjab (Affiliated to Punjab Technical University) as Assistant Professor - CSE

Assisted M.Tech. Students in their project work and thesis in ' MATLAB ' and ' R, ' also taught subjects such as algorithm design and analysis, data structures and image processing. Jul'09 – Jun'10

Apex Institute of Technology, AICTE Approved, Rudrapur, Uttarakhand (Affiliated to Uttarakhand University) as Senior Lecturer - CSE/IT

Jul'08 – May'09

Amritsar College of Engg. and Tech., Amritsar, Punjab (Affiliated to Punjab Technical University) AICTE Approved, NBA Approved C and C++ as Lecturer – CSE

Personal Details

Date of Birth: 24th August 1984

Languages Known: Hindi, English, Punjabi

Address: Flat No. 11605, Bhartiya City Nikoo Homes, Thanisandra Main Road, Bengaluru - 560064

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