User

Data Engineer

BMT Score
68
68%
  • Remote

Available for

About Mohit

A performance driven ambitious Data Architect with an extraordinary blend of and technical knowledge. Ability to communicate and motivate team members to enhance strategic goals and bottline objectives. Creative problem solving and troubleshooting skills complemented by meticulous attention to details that will result in the success of an organization by developing new applications or improving existing ones. 

Work Experience

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Data Engineer

  • January 2020 - January 2023 - 3 Year
  • India

Projects

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Logistics For Clothing

  • January 2020 - April 2020 - 4 Months
Technologies
Role & Responsibility

    Analyse and predict the returns for particular brand/ region/ Colour/ Material/ Cost etc. for the clothing. Developed the Data Architecture and model deployment plan for the client.

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ARIMA Model

  • January 2021 - February 2022 - 14 Months
Technologies
Role & Responsibility

    Predict the future sales for different products. Automated and processed nearly 130 ARIMA models using a common python code & calculate the monthly carry over effect.

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Taxation Fraud Analytics

  • January 2021 - September 2021 - 9 Months
Technologies
Role & Responsibility
    To identify tax evasion for medium and large-scale traders for the goods movement:
    Process and analyse the data using SQL to understand the reasons for cancellation, rejection, and unknown trader details.
    Perform clustering/ segmentation and Market basket analysis to analyse the pattern for movement of goods.
    Developed a Tableau/Power BI dashboard for ministries to analyse the observed anomalies and identify the traders
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GLM Pricing Models

  • February 2021 - January 2022 - 12 Months
Role & Responsibility
    Develop Risk Premium Models for Motor & Property using EMBLEM, RADAR & Python.
    Risk Premium for Retail Motor – Model the frequency, severity and propensity for different perils to develop a risk premium model.
    Model Validation and Backtesting – Monitor the model and simulate the data to improve the performance of the model in the market.
    Gradient descent boosting method – Use GBM to optimize the residual for the model to achieve a better accuracy.
     
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Industry Expertise

Education

Education

in PGP in Machine Learning & Artificial Intelligence

Delhi University
  • November 2018 - December 2019

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