User

Python Developer

BMT Score
84
84%
  • Remote

Available for

About Suraj J

Strong hold on Machine Learning and Deep Learning Fundamentals as well as in Python Packages as Scikit Learn, Pandas, NumPy, Matplotlib, Seaborn & Regular Expressions for around 3+ Year into data science, now looking for opportunities to grow in my horizontal as well as vertical domain.

Tech Stack Expertise

  • Tech Stack Expertise

    Python

    Python,Numpy

    0 Years

Work Experience

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Software Developer

  • January 2020 - November 2022 - 2 Year
  • India

Projects

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Credit Sanction Prediction

  • January 2020 - April 2020 - 4 Months
  • India
Technologies
Role & Responsibility
    • The problem to identify the customers segments, those are eligible for loan amount so that they can specifically target these customers. It's a classification problem, given information about the application we have to predict whether the they'll be to repay the credit or not
    •  Worked on contact fraud strategy and implemented a new model to ensure the downstream impact of the customers
    • Created Spends & Fraud MI pack which gives end to end information about customer behavior
    • Actively Involved in daily standup calls Understand, analysis, and interpret datasets
    • Analyze and Filtered 100k rows of data send by client in multiple batches
    • Performed Feature Engineering on data using Python libraries like Pandas, NumPy, Seaborn
    • Build and train a model by using different Classification mode
    • Analyzed Model Prediction accuracy using Classification reports, Confusion matrix, AUC Score
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Plastic Money Approval Prediction

  • May 2020 - December 2020 - 8 Months
  • India
Technologies
Role & Responsibility
    • Banks receive a lot of applications for issuance of credit cards. Many of them rejected for many reasons, like high-loan balances, low-income levels, or too many inquiries on an individual’s credit report. Manually analyzing these applications is error-prone and a time-consumingprocess. Luckily, this task can be automated with the power of machine learning .
    • Perform the real-time analysis of customer data for improving their products
    • Analysis data collected by our team.
    • Performed Feature Engineering on data using Python libraries like Pandas, NumPy, Seaborn
    • Build and train a model by using different Classification mode.
    • Analyzed Model Prediction accuracy using Classification reports, Confusion matrix, AUC
    • Score
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Sentiment Analysis

  • November 2021 - January 2022 - 3 Months
  • India
Technologies
Role & Responsibility
    • Sentiment analysis studies the finance review information in an expression, that is, the opinions, appraisals, emotions, or attitudes towards a topic, person or entity. Expressions can be classified as positive, negative, or neutral
    • Perform the real-time analysis of customer data for improving their products identify the valuable data sources or Analysis data collected by our team.
    • Performed Text Wrangling and Preprocessing on data
    • Performed Vectorization and Feature Engineering
    • Performed Model building and Initialization
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Industry Expertise

Education

Education

Computer in MCA

Government College Of Engineering
  • June 2016 - June 2019

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