Seattle, Washington, United States
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About

A hands-on Data Science professional with an interest and aptitude in using machine…

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Experience & Education

  • Amazon Web Services (AWS)

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Licenses & Certifications

Volunteer Experience

  • PyData Mumbai Graphic

    Speaker- Bayesian Statistics

    PyData Mumbai

    - 5 months

    Science and Technology

    Delivered multiple data science related talks at the PyData Mumbai conferences. The topics and descriptions are as below:

    - Enhancing User Experience with Data Science
    Key Takeaways: An understanding of how User Experience and Data Science mesh together to deliver insights and influence each other. An introduction to conversational interfaces and Quantitative vs Qualitative data to deliver insights.
    Link to Presentation-…

    Delivered multiple data science related talks at the PyData Mumbai conferences. The topics and descriptions are as below:

    - Enhancing User Experience with Data Science
    Key Takeaways: An understanding of how User Experience and Data Science mesh together to deliver insights and influence each other. An introduction to conversational interfaces and Quantitative vs Qualitative data to deliver insights.
    Link to Presentation- https://github.com/varunpanicker/PyDataMumbai-March18

    - A Bayesian Approach to A/B Testing
    Spoke about the prominent schools of thought in Statistics and their application in A/B testing, highlighting how the Bayesian approach differentiates itself from the rest.
    Link to Presentation- https://github.com/varunpanicker/PyDataMumbai-BayesianTalkApril18

  • PETA Graphic

    Fundraising Volunteer

    PETA

    - 1 year

    Animal Welfare

    Raised over $2000 for the welfare of stray animals

Publications

  • Identifying Optimal Loci for the Molecular Diagnosis of Microsatellite Instability

    Oxford Clinical Chemistry

    Microsatellite instability (MSI) predicts oncological response to checkpoint blockade immunotherapies. Although microsatellite mutation is pathognomonic for the condition, loci have unequal diagnostic value for predicting MSI within and across cancer types. Used interpretable machine learning on models used to categorize genomic instability across 18 cancer types and 10,000 patient genomic information.

    See publication

  • Microcontroller Based Self-Regulating Devices in Enclosed Environments

    IARS' International Research Journal (Vol.04 No.01)

    The paper discusses practical applications of microcontroller AT89C52 embedded with assembly language programs for home automation.

Courses

  • Advanced Database Management Systems

    TEITC504

  • Automata Theory

    SEITC404

  • Big Data Analytics

    ITC802

  • Data Mining and Business Intelligence

    TEITC604

  • Distributed Systems

    TEITC602

  • E Commerce and E Business

    ITC7053

  • Intelligent Systems

    ITC703

  • Open Source Technologies

    TEITC505

  • Soft Computing

    ITC8045

Projects

  • T-Mobile Hackathon, First Place Winner

    - Developed a ranking and recommender system combined with a deep learning model to analyze user sentiments and themes around products to reduce the number of returns in digital commerce by 80%.

    See project

  • Future Suture, NASA Space Apps

    - Created a Machine Learning model driven Virtual Reality experience to enable people to view the effects of climate change on their surrounding and take actions suggested by the learning interface.
    - Advanced to the global rounds of the Space Apps Challenge by winning the prize for the Most Innovative Hack

    See project

  • Reddit Recommender System

    Built a subreddit recommendation system based on the user-user and item-item similarity matrices using 'cosine similarity' as the similarity measure

  • Natural Language Processing on Haptik Data

    - Performed text analysis on a dataset of user messages provided by chatbot firm Haptik Inc.
    - Used the RandomForest algorithm to classify user messages into categories

  • Face Detection using Haar Cascades

    Used Python OpenCV to train and detect individual or groups of faces in a photograph by applying the Support Vector Machines (SVM) algorithm

  • Adoption of Tape Storage for Big Data Applications

    Studied various techniques for storage of Big Data, focusing on tape storage techniques, specifically LTO-6 for long-term storage of Big Data,
    Evaluated possibility of wide scale implementation in industrial applications

  • E-Commerce: Toy Store (Website and System Development)

    Developed an e-commerce website with an integrated system for customer relationship of a Toy Store.
    Incorporated inventory management and payment gateway features

  • Reservation Station (MySQL and PHP)

    Centre for Excellence in Telecom Technology and Management, Mahanagar Telephone Nigam Limited (M.T.N.L)
    Built a software solution for handling hotel reservations, with back-end database handling capabilities
    Included real-time customer relationship management capabilities for the web-page, under MTNL, the chief telephony and network provider in Indian metropolises.

  • Boomerang Blade- Computer Graphics

    Created an interactive animation Boomerang Blade picture computer game
    Developed the Boomerang graphics for the game in C language, along with multiplayer capabilities

  • Lifestyle Conditions in Slums, Social Survey

    Conducted an extensive data survey on the lifestyle conditions in Dharavi, one of Asia's largest slums
    Presented the findings along with a detailed analysis of the survey in a project report

  • FIFA World Cup Prototype Website

    Developed a functional and interactive website incorporating several web designing languages such as HTML, JavaScript, JQuery, ASP.NET and JSP
    Included features to check match schedules by team or date, set reminders, and watch the live web telecast of the FIFA World Cup

  • AndroidBotics

    Excelsior Embedded Solutions Pvt. Ltd., Mumbai

    Modelled a Bluetooth enabled robotic car built on an embedded platform Arduino and controlled using an Android application as a remote.

  • Fraud Detection Using Data Mining

    -

    Analysed detection methods for fraud using clustering and outlier analysis data mining techniques
    Discussed its applications in the telecom and banking sectors

  • Simulation of Cryptographic Algorithms Using R Language

    -

    Analysed various cryptographic algorithms with comparable and measurable security metrics,
    Working on the implementation of said algorithms using R language,
    Evaluated their feasibility of implementation in practice

    Other creators
    • Sitanshu Rupani

Test Scores

  • GRE

    Score: 321/340

    Quantitative - 162/170
    Verbal - 159/170
    AWA (Analytical Writing Assessment) - 4.5/6.0

  • TOEFL

    Score: 117/120

Languages

  • English

    -

Organizations

  • Ernst & Young LLP

    -

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