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ashish1610dhiman/README.md

👋 Hi, I’m @ashish1610dhiman

I am a Data Scientist interested in the application application of techniques derived from Machine Learning and Optimisation towards financial services industry. I specailise in converting converting raw numbers into actionable insights, and posses Proficiency in Python, SQL, Pyspark, R, Hive, Hadoop, and AWS EMR, along with visualisation tools like Tableau.

Presently I am pursuing MS in Computational Data Science at Georgia Tech, and would be interning as Quant Analyst for Summer 23 in NYC. Before joining Georgia Tech, I worked as a Data Scientist at American Express (Credit and Fraud Risk). I graduated with a Bachelor of Technology from IIT Kharagpur in 2019, majoring in Aerospace Engineering with a micro specialisation in Optimisation Theory.

  • Awarded Senior VP Award at American Express.
  • Awarded Gymkhana award at IIT Kharagpur.
  • Class Rank 2 in Aerospace (2019), IIT Kharagpur.

PS: Also really fascinated with remote islands like St. Helena and Madeira :)

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  1. learning_norms_with_mcmc_from_pcfg_IJCAI21 learning_norms_with_mcmc_from_pcfg_IJCAI21 Public

    The repository houses the source code of paper

    Jupyter Notebook 1 2

  2. deep_learning_for_credit_risk deep_learning_for_credit_risk Public

    Deep Evidence Regression for LGD

    Jupyter Notebook 2 3

  3. ML-7641-Fall-2022/RoboChef ML-7641-Fall-2022/RoboChef Public

    This repository contains source code for ML-7641 Fall-22 Project.

    Jupyter Notebook 5 7

  4. enhanced_index_tracking enhanced_index_tracking Public

    Enhanced Index Tracking

    Jupyter Notebook 2 3

  5. math_proofs math_proofs Public

    A few proofs and examples related to ML/Prob and Optimisation

    Jupyter Notebook 1 1

  6. statistical_factors_brent statistical_factors_brent Public

    Statistical factor model for Brent Crude Oil Futures

    Jupyter Notebook 2