Chandan Suri

Chandan Suri

New York City Metropolitan Area
4K followers 500+ connections

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About

At Take2 AI, we are building recruitment solutions for sales roles. As a Founding…

Activity

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Experience

  • Take2 AI Graphic

    Take2 AI

    New York, New York, United States

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    New York, United States

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    New York, United States

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    New York, New York, United States

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    New York, New York, United States

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    Bengaluru, Karnataka, India

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    Bengaluru, Karnataka, India

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    Bengaluru, Karnataka, India

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    Bengaluru Area, India

Education

  • Columbia University Graphic

    Columbia University in the City of New York

    Introduction to Databases (SQL and NoSQL), Practical Deep Learning (System Performance), Cloud Computing and Big Data (AWS), Applied Machine Learning, Computer Vision, NLP, Introduction to Probability and Statistics, Analysis of Algorithms, Applied Deep Learning, Quantum Computing.

  • Related coursework:
    Basic & Advanced Data Structures, DBMS, Data Analytics, DL, & AI

Licenses & Certifications

Publications

  • Generic Search Optimizer and Library Books Recommendation System

    IRJET

    1. Developed a novel method as a Library Recommendation System.
    2. The model can be used for any global library and would give good optimized results when searching for some book or article.
    3. As a part of the research project shifting the paradigm from SQL-based searching to Intelligent Searching.
    4. Improved the search results by using the Ngram model and word2vec model for predicting the correct word and giving related search results in the phrase entered.
    5. Segmentation, Query…

    1. Developed a novel method as a Library Recommendation System.
    2. The model can be used for any global library and would give good optimized results when searching for some book or article.
    3. As a part of the research project shifting the paradigm from SQL-based searching to Intelligent Searching.
    4. Improved the search results by using the Ngram model and word2vec model for predicting the correct word and giving related search results in the phrase entered.
    5. Segmentation, Query correction, and Tags Generation developed to increase the accuracy of results which reached about 85%.

    See publication

  • DLP - Automation of Image Quality Tuning Parameters

    TIITC (Texas Instruments Internal Conference)

    Built an optimizer for image meta data analysis to generate image quality and tuning parameters, reducing testing time and manpower by 52% & development time by 75%.

  • DLP Automotive - Automation of Led Calibration Parameters

    TIITC (Texas Instruments Internal Conference)

    Devised a novel embedded software solution using Optimization Theory for automated calibration to reduce testing & customer integration time by 50%.

Courses

  • Android Development at Coding Blocks.

    98

Projects

  • Customer Behavior Analysis

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    • Implemented 7 different Clustering & Classification Algorithms to analyze customer behavior of a product in an e‑commerce setup.
    • Evaluated the models to find the best one with a 0.80 F‑1 score for predicting customer behavior & forming different customer segments after exploratory data analysis & data pre‑processing.

    See project

  • DrinkEasy

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    • Built a serverless, microservice‑driven web application to find LGBTQIA+ drinking establishments & share social experiences in NYC.
    • Created a to‑go mobile‑friendly website for the users to search through more than 1200 drinking establishments.

  • Automation Tools for DLP Controllers

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    This was for auto-generation of tools used by the DLP team.
    It included working on many softwares and tools.
    Auto-Generation of 4 Softwares, including XML and HTML parsers.
    One Tool Generated for Automatic Release of Softwares.
    Auto-Generation of documentation files for all the codes.
    Technologies Used: C#, Natural Language Processing, Iron Python
    Wrapper, Python.

  • Big Data Analysis and Business Intelligence

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    Small scale projects made using tools of Hadoop and Map Reduce
    coding was done effectually.
    The tools used were Apache Pig, Apache Sqoop, Apache Hue, Apache
    Hive and python was used to implement all this.

  • NNCL Search Optimization

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    As a part of research project shifting paradigm from SQL based
    searching to Intelligent Searching.
    Improved the search results by developing dictionaries and using the
    Ngram model for predicting the correct word.
    Segmentation, Query correction, Tags Generation developed to
    increase accuracy of results using Pandas framework.
    Implemented the word2vec model to help find relationship between
    books and predictionaccuracy of 42 %.

  • Robot Command Follower with Arduino

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    This was made using Arduino and it worked with a remote as well as through online sent commands along with gesture movements. Many other hardware components were also used.

  • One Stop

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    An Android Application made to search for different type of places all
    around the globe.
    It was made to help out the tourists anywhere, who can search
    according to places and get navigated through the application.
    It is still under production for incorporating more type of places and
    for integration of ordering facilities.

    See project

  • EatStreet

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    A Food OrderingWebsite implemented using HTML, CSS3, Javascript,
    JQuery, Bootstrap, PHP, MySQL. It was made live for the one city, Patiala for 2-3 months.
    It incorporated all the restaurants and cafes of Patiala and was fully functional with servers maintained using GoDaddy.

Honors & Awards

  • TI Global Recognition Award (Gold)

    Texas Instruments India

    For:
    1. In-time completion of all the DLP Composer Projects: Faced time-crunch and workforce-crunch, still met all the deadlines for all the product development going on in DLP.
    2. Developing new algorithms and processes to help improve the development of the DLP Technology.
    3. Timely Customer Support for DLP

  • Intel Edge AI Scholarship

    Intel

    Valuable Contributions to Open-Source Projects at Intel using Edge AI and AI chipsets.

  • Nutanix Hybrid Cloud Scholarship

    Nutanix

    Contribution to Open-Source Hybrid Cloud Infrastructure.

  • Accident Immune Car System 2nd Prize at DIY Competition

    Texas Instruments

    It included working on a project with many things such as NIR Spectrometer and many other sensors in an associative manner for making an accident immune car system for drunk and drive cases and blind spot detection while changing lanes.

  • Google Certified Android Associate Developer

    Google

    I have cleared the exam for Google Certification for Android Associate Developer.

  • Thapar Institute of Engineering and Technology Merit Scholarship

    Thapar Institute Of Engineering and Technology

  • Second Year Gold Medalist

    Thapar Institute Of Engineering and Technology

    Won prize money and was Second Year Gold Medalist with CGPA 9.88 in CSE Branch among 219 students. For Second Year according to AGPA was given the third position.

  • Thapar Institute of Engineering and Technology Merit Scholarship

    Thapar Institute Of Engineering and Technology

    I got a scholarship of approximately 1.5L for being among the first 10% students according to CGPA.

  • First Year Gold Medalist

    Thapar Institute Of Engineering and Technology

    Won prize money and was First Year Gold Medalist with CGPA
    9.91 in CSE Branch among 219 students.

  • Microsoft Certified Database Associate

    Microsoft

  • IIT BOMBAY Competition for Robotics Arduino

    IIT Bombay

    Participated in this as a team of 4 members, making a line following
    Robot and competing against 40 other teams for following a path
    and in least time.

Test Scores

  • GMAT

    Score: 740

  • TOEFL

    Score: 114(S27,R29,W29,L29)

  • GRE General Test

    Score: 330 (V-160, Q-170)

Languages

  • English

    Native or bilingual proficiency

  • Hindi

    Native or bilingual proficiency

  • Punjabi

    Limited working proficiency

  • French

    Limited working proficiency

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