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Jagannath Das

Jagannath Das

Proficient in Python, SQL, TensorFlow and Pytorch with a passion for effectively communicating intricate data. Actively pursue further education in these technologies to remain at the forefront of the field. Possess a B.Tech degree in Electrical and Electronics Engineering from NIST and have successfully completed multiple Google certified courses in data analysis and engineering. Motivated to apply my technical expertise to a data-driven organization, generating significant outcomes through strategic data utilization.

  • Role

    data anlayst

  • Years of Experience

    3 years

Skillsets

  • Machine Learning - 3.5 Years
  • MySQL - 3.5 Years
  • Git - 2 Years
  • OpenAI - 1 Years
  • OpenAPI - 1 Years
  • rag - 1.5 Years

Professional Summary

3Years
  • Jan, 2020 - Present4 yr 8 months

    Data Analyst

    kugvytvhb
  • Nov, 2021 - May, 2022 6 months

    DATA SCIENCE INTERN

    FUTURE GENERALI
  • Jun, 2022 - Present2 yr 3 months

    DATA ANALYST

    DHRUV TECHNOLOGY AND SYSTEM SOLUTION

Applications & Tools Known

  • icon-tool

    XAMPP

Work History

3Years

Data Analyst

kugvytvhb
Jan, 2020 - Present4 yr 8 months
    • In this role, I focus on delivering high-quality data solutions and leveraging my technical expertise to support organizational goals. By employing cutting-edge techniques and fostering collaboration, I contribute to continuous improvement and innovation.

DATA SCIENCE INTERN

FUTURE GENERALI
Nov, 2021 - May, 2022 6 months
    • Engineered impactful model leveraging Python for data cleaning, preprocessing, and visualization.
    • Proficiently managed MySQL databases for efficient data storage and retrieval.
    • Engaged in training sessions to raise skills in machine learning and deep learning.

DATA ANALYST

DHRUV TECHNOLOGY AND SYSTEM SOLUTION
Jun, 2022 - Present2 yr 3 months
    • Collaborated with senior Data Scientist and Project Manager to identify performance improvement opportunities and seamlessly integrate disciplined models, contributing to enhanced project outcomes and efficiency.
    • Put through and applied data mining and machine learning solutions addressing business challenges, including predictive modeling for fraud detection and loan prediction, resulting in actionable insights and improved decision-making processes, and deployed in AWS.
    • ML pipeline, trained models with supervised and unsupervised algorithms, attaining a 60% reduction in fraud, demonstrating effective fraud detection capabilities.

Achievements

  • Proficiently managed MySQL databases for efficient data storage and retrieval Engaged in training sessions to raise skills in machine learning and deep learning.
  • Applied data mining and machine learning solutions addressing business challenges, including predictive modeling for fraud detection and loan prediction, resulting in actionable insights and improved decision-making processes, and deployed in AWS.
  • Developed ML pipeline, trained models with supervised and unsupervised algorithms, attaining a 60% reduction in fraud, demonstrating effective fraud detection capabilities.

Major Projects

1Projects

Sentiment Analysis

    Conducted sentiment analysis on multiple text files simultaneously, achieving accurate results without applying transformer models. Established a custom solution for sentiment analysis, presenting proficiency in NLP techniques. Followed efficient text processing methods to analyze sentiment across large datasets, showcasing advanced NLP skills.

Education

  • Bachelor of Technology in Electrical and Electronics Engineering

    National Institute of Science and Technology

Interests

  • Singing
  • Cooking
  • Cricket