Mayur Mahajan

Mayur Mahajan

San Francisco Bay Area
10K followers 500+ connections

About

Data Science leader with over a decade of experience in Data Science, Finance, and…

Activity

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Experience

  • DoorDash Graphic
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    San Francisco Bay Area

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    San Francisco Bay Area

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    Chicago

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    Greater Atlanta Area

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    Mumbai

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    Mumbai Area, India

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    Bengaluru Area, India

Education

  • Georgia Institute of Technology Graphic

    Georgia Institute of Technology

    GPA 3.8/4.0

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    MS in Analytics at Georgia Tech
    Courses: Machine Learning, Python, Regression, Deterministic Optimization, Analytics Modelling, Data & Visual Analytics, Data Analytics in Business, Time Series Analysis, Bayesian Statistics, Modelling & Simulation

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Licenses & Certifications

Volunteer Experience

  • COEP (College of Engineering, Pune) Graphic

    Member, Spandan, Social working group

    COEP (College of Engineering, Pune)

    - 2 years

    Social Services

    Participated in social awareness activities incl. cleaning river banks etc.

Courses

  • A/B Testing by Google (Udacity)

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  • Analytics Modelling

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  • Bayesian Statistics

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  • Data & Visual Analytics

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  • Deterministic Optimization - Linear Programming

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  • Machine Learning

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  • Modelling & Simulation

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  • Quantitative Techniques

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  • Regression Analysis

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  • Strategic Management

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  • Time Series Analysis

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Projects

  • Optimization for Cutting Stock Problem & Travelling Salesman Problem using Mosel code in Xpress

    • Implemented Kantorovich Formulation & Gilmore-Gomory cut using column generation for Cutting Stock Problem in Xpress
    • Solved Travelling Salesman Problem for 48 state capitals in US using constraint generation in Xpress (found solution within 2 mins)

  • Classifying online comments based on toxicity (multi-label) using Neural Networks

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    • Built 3 Deep Learning models (keras, TensorFlow) & stacked them to create a Level 2 Classifier that was used in classifying comments on toxicity
    • Achieved AUC & accuracy of 97% each; created a prototype, a subreddit extension and visualization to help comment moderators

  • Predicting whether a patient has high or low probability of heart attack

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    • Built 2 models to classify patients into high & low probability of heart attack buckets based on medical, demographic data etc.
    • Performed data cleaning & bootstrapping on the data; Classification Tree – Accuracy 78.8%, Logistic Regression – 76.9%

  • Assessing Impact of News on Indian Stock Markets Using Excel

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    The aim of the project was to build an excel model to assess the impact of news on Indian Stock markets. As part of the project, I scraped data from news website using excel macros, regressed sentiment index of news against stock market returns in BSE. The results showed directional accuracy of 49% of the sentiments derived with the stock market returns.

  • Advanced Online MCQ Management & Analysis System (startup idea - www.testmetrics.in)

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    Developed a website to create, schedule & deliver online MCQ tests to students using PHP, MYSQL, JavaScript, CSS & Ajax

    See project
  • Digital Watermarking using face recognition (B.Tech. CS Final Year Project)

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    • Created a program in MATLAB to extract features of a person’s face and embedded them as watermark in an image
    • Extracted watermark from a watermarked image and verified it against a person’s face features to identify true owner of the image

  • Spam Filter (CUDA Implementation using Bayesian Algorithm) (B.Tech. CS Mini Project)

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    Developed a C/C++ program using Nvidia CUDA SDK to improve processing speed & accuracy of Spam Filter by using GPU

Test Scores

  • GRE

    Score: 330

    330/340 (Quant: 170/170, Verbal: 160/170)

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