Über uns
I am currently building products at Microsoft in the Identity division of the Security…
Contributions
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Georgia Institute of Technology
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Activities and Societies: Vice President - India Club at Georgia Tech
Head GTA for CS 3300 Intro to Software Engineering,
GTA CS 3001 Computing and Society -
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Activities and Societies: Contingent Leader, Captain of Information Technology Department, Member of Computer Society Of India, Member of Red-Cross,Member Of Trinity(Technical-Social-Cultural fest)
-Finalist at Smart India Hackathon(2018)
-Finalist at JP Morgan and Chase CodeForGood Hackathon(2018)
-CodeChef Division-1 coder(CodeChef Profile: https://www.codechef.com/users/tanujbohra)
-Participated in various coding competitions like TCS-codevita(Semi-finalist AIR-600),CodeChef SmackDown(global rank-3k),ACM ICPC, etc.
-Winner of AdoMania( A short film making competition) held in VJTI where more than 50 teams across Maharashtra participated.
-Winner of S.C.A.M(Selling…-Finalist at Smart India Hackathon(2018)
-Finalist at JP Morgan and Chase CodeForGood Hackathon(2018)
-CodeChef Division-1 coder(CodeChef Profile: https://www.codechef.com/users/tanujbohra)
-Participated in various coding competitions like TCS-codevita(Semi-finalist AIR-600),CodeChef SmackDown(global rank-3k),ACM ICPC, etc.
-Winner of AdoMania( A short film making competition) held in VJTI where more than 50 teams across Maharashtra participated.
-Winner of S.C.A.M(Selling Convincing And Marketing) held in VJTI where more than 75 teams across Maharashtra participated
-Winner of Interdepartmental Cup 2017 as a Captain with the help of an amazing team -
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Stood 2nd in college(amongst all science streams) in 12th grade
Stood 3rd in college(amongst all science streams) in 11th grade -
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Activities and Societies: Deputy Prime Minister of the Student Council
Awarded Best Student of my batch(2013)
Awarded Best group leader amongst 10 schools at Social Service Camp, Aurangabad
Awarded Most Hardworking Student of my batch
Prime-Minister in the school's student council(Lead a student-council of 36 members)
Participated and won multiple inter-school and state-level quiz competitions like Derek O'Brien(school-level), Limca book of records quiz, Times NIE quiz etc.
Participated in national level painting and sketching competition
Volunteer Experience
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Climate Edu-Xchange team member
Tetra Pak
- 4 months
Environment
-Worked and implemented my project "Earth Protectors" to spread awareness about sustainable development using social media platforms by targeting groups that need to be educated, tree plantation drives and various social and cultural activities.
-Selected amongst top 5 entries in Project S.E.A.R.C.H (Climate Edu-Xchange)
-Presented my project at Bandhavgarh National Park, Madhya Pradesh
-Received grant to implement my project by Tetra Pak and DELL -
STEP(Sensitising Training and Educating Peers) team member
TERI - The Energy and Resources Institute
- 4 months
Environment
-worked on my project C.O.P.E.R(Cutback Of Plastic and Expand Recycling)
-formed and led a team of 8 students to make cloth bags and spread awareness amongst peers and other members of the society to reduce the flow of plastic bags.
-presented my project at STEP 2012 held at The Habitat Centre,New Delhi and received funding to implement my project -
Publications
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Real-Time Two Way Communication System for Speech and Hearing Impaired Using Computer Vision and Deep Learning
IEEE
Sign Language is the most expressive form of communication for speech and hearing impaired people to communicate with normal person but a normal person cannot understand sign language. So in order to break this barrier of communication there needs to be a system that can enable conversion of sign language to voice or text and voice or text to sign language and do it in real time. The systems that currently exist are not real time, do not facilitate two-way communication, require static…
Sign Language is the most expressive form of communication for speech and hearing impaired people to communicate with normal person but a normal person cannot understand sign language. So in order to break this barrier of communication there needs to be a system that can enable conversion of sign language to voice or text and voice or text to sign language and do it in real time. The systems that currently exist are not real time, do not facilitate two-way communication, require static surrounding conditions or have low recognition accuracy. There exist systems that have good accuracy but require external hardware like gloves [3] which increases the cost. Our contribution to solving this problem consists of a Sign Language Communication System. It is a real-time communications system built using the advancements in Image Processing, Deep Learning and Computer Vision that provides real-time sign language to text and text to sign language conversion. The project is software-based which can be installed on any computer with good specifications. It is also a two-way communication system allowing not just speech and hearing impaired to communicate with normal people but also other way around. The primary goal of our system is to enable hearing and speech impaired people to communicate with people that are not disabled in real time by interpreting alphabets, numbers and words in the Indian sign language. The system is able to predict 17600 test images in 14 seconds with an average prediction time of 0.000805 seconds with an accuracy of 99%.
Other authorsSee publication -
Prediction of Customer Churn Using Machine Learning
Springer, Cham
The increase in competition in customer service sector has become paramount to invest time in customer behavior and to accurately predict the customer churn. Customer churn occurs when the customer decides to discontinue their relations with the company. Many traditional algorithms have been used to predict the churn, and thus devise various techniques for customer retention, but with the advent of deep learning paradigms, we have witnessed algorithms that give a new prospect to this very task.…
The increase in competition in customer service sector has become paramount to invest time in customer behavior and to accurately predict the customer churn. Customer churn occurs when the customer decides to discontinue their relations with the company. Many traditional algorithms have been used to predict the churn, and thus devise various techniques for customer retention, but with the advent of deep learning paradigms, we have witnessed algorithms that give a new prospect to this very task. Deep learning permits multilayered models to represent data in multiple abstraction levels. It also greatly reduces the work of feature engineering as it automatically comes up with good features. This chapter comprises an experimental comparison of various traditional classification algorithms, namely K-nearest neighbors, naive Bayes, random forest, decision tree, and logistic regression, with artificial neural network to predict the customer churn on IBM’s Telco Customer Churn dataset. We have compared these models based on their accuracy in predicting customer churn. Our ANN model achieves an accuracy score of 82.83% on validation data, better than our performance of 79.86% achieved for the traditional approach of using K-nearest neighbors. The results suggest that the multilayered ANN model with self-learning ability and tokenized data input outperforms traditional classification algorithms.
Other authorsSee publication
Projects
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GeoToll
-Developed a prototype of an app that enables users to donate items based on his location to the nearest NGO.
-Used Google Maps API,Google Place-picker API,Firebase Services. -
Real-Time Sign Language Interpreter for Speech and Hearing-Impaired
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● Built a real-time communication system built using Image Processing, Deep Learning, and Computer Vision that provides sign language to text and text to sign language conversion using OpenCV, Keras, and various Python libraries.
● Programmed a model that was able to classify 17600 test images in 14 seconds with an average prediction time of 0.000805 seconds and achieved an accuracy of 99%.
● Winner of the best project in a state-level competition and also it was in the top 5 projects of…● Built a real-time communication system built using Image Processing, Deep Learning, and Computer Vision that provides sign language to text and text to sign language conversion using OpenCV, Keras, and various Python libraries.
● Programmed a model that was able to classify 17600 test images in 14 seconds with an average prediction time of 0.000805 seconds and achieved an accuracy of 99%.
● Winner of the best project in a state-level competition and also it was in the top 5 projects of the national-level project competition
● Winner of the best project in a state-level competition and reached the top 5 projects of the national-level project competition. The results of the project are accepted in the IEEE International Conference on Smart Systems and Inventive Technology (ICSSIT 2019] and the research paper is accepted in IEEE Xplore.Other creatorsSee project -
P.O.W.E.R portal
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-A C2C web portal and android application for women empowerment that connects projects to financial and human resources.
-Implemented Image and text processing for automatic offensive content detection,Implemented fraud detection by using algorithm like tukey
-Implemented a user specific suggestion system.
-Used KYC-Aadhar card verification,IVR,Multilingual support
-Selected as finalist of Smart India Hackathon 2018. -
LOLT attendance
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Worked on updates of the app as well as website that helps the NGO (light of life trust) keep track attendance of volunteers, students and teachers in rural area all over India
Provided them analytics tools to analyse the reasons for absence of students and teachers. Decreased time complexity from O(n^2) to O(n) and reduced lines of code by 33%. Solved the issue of low network and unavailability of internet by using Offline Storage. -
PassItOn
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-Developed a prototype of an app that enables users to donate items based on his location to the nearest NGO.
-Used Google Maps API,Google Place-picker API,Firebase Services.
Honors & Awards
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Winner of Inter-Departmental Cup
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Led my department in various social, cultural, and technical events to a victory in the Inter-Departmental cup after 10 years.
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Innovation in Science Pursuit for Inspired Research (INSPIRE) Scholar
Ministry Of Science and Technology
-Awarded INSPIRE scholarship for being in the top 1% of the entire Maharashtra board examination
-"Innovation in Science Pursuit for Inspired Research (INSPIRE)" is an innovative programme sponsored and managed by the Department of Science & Technology for attraction of talent to Science. The basic objective of INSPIRE is to communicate to the youth of the country the excitements of creative pursuit of science, attract talent to the study of science at an early age and thus build the…-Awarded INSPIRE scholarship for being in the top 1% of the entire Maharashtra board examination
-"Innovation in Science Pursuit for Inspired Research (INSPIRE)" is an innovative programme sponsored and managed by the Department of Science & Technology for attraction of talent to Science. The basic objective of INSPIRE is to communicate to the youth of the country the excitements of creative pursuit of science, attract talent to the study of science at an early age and thus build the required critical human resource pool for strengthening and expanding the Science & Technology system and R & D base. -
Best Student (2013)
St. Xavier's and Ryan International group of schools
Awarded the best student of St. Xavier's High School for performing academically as well as in extra-curricular and co-curricular activities throughout my high school
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