Chinmay Maheshwari

San Francisco, California, United States Contact Info
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About

Experienced Data Scientist with 9+ years of experience in data science, statistics and ML…

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Experience & Education

  • Figma

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Courses

  • Applied Microeconomics

    BE 501

  • Applied Multivariate Analysis

    STATS 503

  • Applied Probability and Stochastic Modelling

    STATS 620

  • Artificial Neural Networks and Fuzzy Systems

    -

  • Data Structures

    -

  • Digital Signal Processing

    -

  • Linear Models with R ( Applied Statistics)

    STATS 500

  • Mathematical Statistics 1

    STATS 510

  • Mathematical Statistics 2

    STATS 511

  • Practical Machine Learning

    EECS 598

  • Software Engineering

    -

  • Statistical Communication Theory

    -

  • Statistical Consulting

    STATS 504

  • Statistics for Financial Data

    STATS 509

  • Stochastic Simulation

    -

  • Time Series Analysis

    STATS 531

  • Wavelet Signal Processing

    -

Projects

  • Bivariate Time Series Analysis: Unemployment Rates and Consumer Price Index

    - Analyzed the two time series to find a lead-lag relationship between them, and successfully modeled one time series on the other to interpret the relationship between recession and inflation in econometric terms.
    - Used Vector Autoregressive models, ARIMA models, and pre-whitening models to model the relationship between the time series, and compared the results.

  • Classification of Authors by Functional Words

    - Used classification techniques to classify the works of authors from different eras by Function Words.
    - Implemented various classification techniques for the task, like Random Forests, LDA, QDA, Support Vector Machines, Trees, Nearest Neighbors and Logistic Regression, and compared the results, and accomplished good classification.
    - Implemented Principal Component Analysis and Factor Analysis to reduce the number of independent variables

    Tools: R

    Other creators

  • Undergraduate Thesis - Modern Portfolio Theory and Efficient Frontier Implementation

    -

    - Applied the Modern Portfolio Theory and methods of portfolio analysis and risk management to live data and weighted the pros and cons

    - Researched options and other financial instruments, and implemented the Black-Scholes Model, as well as Monte Carlo simulation methods for option pricing.

    - Implemented the Capital Asset Pricing Model using regression, and Efficient Frontier as a graphical user interface using live stock market data.

    Tools and Technologies: MATLAB…

    - Applied the Modern Portfolio Theory and methods of portfolio analysis and risk management to live data and weighted the pros and cons

    - Researched options and other financial instruments, and implemented the Black-Scholes Model, as well as Monte Carlo simulation methods for option pricing.

    - Implemented the Capital Asset Pricing Model using regression, and Efficient Frontier as a graphical user interface using live stock market data.

    Tools and Technologies: MATLAB, Python, Qt

  • Using Fractal Theory and SVMs to predict Financial Markets

    -

    - Implemented algorithms to calculate fractal dimensions for financial time-series data which were then used to model and predict using Support Vector Machines.

    - Applied Wavelet techniques and Empirical Mode Decomposition to de-noise the time-series data.

    Tools and Technologies: MATLAB

  • Time Series Analysis Using De-Noised Neural Network

    -

    - Implemented Time Series analysis for financial and other data using Artificial Neural Networks.

    - Applied Wavelet decomposition techniques to de-noise the time-series data.

    Tools and Technologies: MATLAB

  • Rural Hospital Database Management System, at DA-IICT

    -

    - Developed a DBMS in PostgreSQL and its interface in Java for deployment in a rural hospital, encapsulating services of doctors, patient records and medical surveys (as patient history) taken in some rural areas of Chhattisgarh, India.

    - Involved learning concepts of normalization, relational equations and writing queries in Postgresql.

    Tools and Technologies: SQL, Java

Test Scores

  • TOEFL

    Score: 114/120

  • GRE

    Score: 323/340

Languages

  • English

    Full professional proficiency

  • Hindi

    Native or bilingual proficiency

  • Gujarati

    Native or bilingual proficiency

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