Anuj Srivastava

Bengaluru, Karnataka, India Contact Info
16K followers 500+ connections

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About

A BITS Pilani 2020 alum and a Forbes 30 under 30 Asia honouree, currently building…

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Experience & Education

  • OnFinance AI

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Licenses & Certifications

Courses

  • Advanced Trading Algorithms

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  • Business Analysis and Valuation

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  • Data Structures and Algorithms

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  • Derivatives and Risk Management

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  • Financial Management

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  • Fundamentals of Finance and Economics

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  • Institutional Banking

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  • Introduction to Python for Data Science

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  • Machine Learning using Python and R

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  • Python for Financial Analysis and Algorithmic Trading

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  • Security Analysis and Portfolio Management

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  • Trading Algorithms

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Projects

  • Predicting Weekly Revenue and Customer Segregation (CLV) using Facebook Prophet, ARIMA, Lifetimes models

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    - Used the auto regressive property of both Prophet and ARIMA models to predict the weekly revenue of the users engaging.
    - Used Beta Geo Fitter model to segregate the users according to their recency, frequency of buying and monetary value.

  • Deep Learning LSTM Recurrent Neural Network for predicting Stock Prices and Revenue using Keras

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    - Used various optimization algorithms to minimize the cost function, typically RMSE to achieve higher predictability.
    - Compared the deviation from the actual stock prices with basic time series forecasting model, linear regression and above RNN.

  • Economic & Statistical Analysis of the Companies in India producing value added products from Carbon Dioxide

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    - Segregated the firms into two sectors, ones using electrocatalytic reduction and ones that don’t and drew suitable conclusions by their monetary inflow and outflow comparisons.
    - Studied the import and export data for each sector and extrapolated the historical data for further commentary on their benefactors.

  • Implementing Dynamic Allocation Strategies to attain Optimum Portfolio Ratios

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    - Provided retail investors suitable investing algorithms according to their risk appetite.
    - Dealt with the discrete rebalancing of portfolios without taking into account the transaction costs but accounting for the market volatility in a broader sense.

    Other creators

Honors & Awards

  • The Credit Suisse HOLT Valuation Challenge

    Credit Suisse

    Cleared the first round of the HOLT Valuation Challenge organised worldwide by Credit Suisse. Qualified for the next round which includes participation in the Investment Pitch Spring 2019.

  • TrexQuant Algorithmic Trading Competition

    Trexquant

    Participated in an algo trading simulation competition and was in the top 50 worldwide.

  • WorldQuant Summer Training Program 2017

    Worldquant

    Stood 4th nationwide (across India) during the Summer Training Contest conducted by Worldquant.

Test Scores

  • BITSAT

    Score: 310

  • CBSE, 12th

    Score: 90.2 %

  • ICSE, 10th

    Score: 90.5 %

Languages

  • English

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  • Hindi

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Organizations

  • Harvard Business Review

    Member - HBR Ascend Select

    - Present

  • Canadian Undergraduate Technology Conference (CUTC)

    Attendee

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    The Conference featured: • Speakers from big companies like Google, Facebook, RBC, Shopify, Palantir, Tally, Microsoft • Discover AI Challenge with Microsoft and Agorize • Jack.org Challenge • Design, AI, Data Science Workshops • Recruiter Sessions with Representatives from BMO, SAP, Square, Uber • Women in Tech Presented by RBC • Resume Roasts and Makers' Fair

  • BITS Genesis

    Designated Speaker

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    Was a part of "Earn While You Learn" Series at BITS Pilani and taught 150 undergrads about Quantitative Finance Exposure and Learning. https://www.youtube.com/watch?v=rV1-2kyU6_k&t=140s

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