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Yash Changare
Results-driven Data Analyst with expertise working on analytical projects in various domains with a keen interest in specializing in Big Data and Machine Learning.
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Yash Changare

Results-driven Data Analyst with expertise working on analytical projects in various domains with a keen interest in specializing in Big Data and Machine Learning.
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Centre for Development of Advanced Computing (C-DAC)
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Datta Meghe College of Engineering CIDCO Sector III Airoli Navi Mumbai 400 708
Thiruvananthapuram, Kerala, India
インド

Professional Background

  • 現在の状況
    就職中
  • Profession
    Data Engineer
    Machine Learning Engineer
    Data Scientist
  • Fields
    Private Detective Services
    人工知能/機械学習
  • 職務経験
    1年未満関連の実務経験
  • Management
  • Skills
    Word
    MySQL
    Python
    Machine Learning
    NLP
    SpaCy
  • Languages
    English
    流暢
  • Highest level of education

Job search preferences

  • Desired job type
    フルタイム
    リモートワークに興味あり
  • Desired positions
    Data Analyst/Data Scientist
  • 希望の勤務地
  • Freelance

Work Experience

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Project Engineer

11月 2023 - 現在
Thiruvananthapuram, Kerala, India
Cyber Forensics AI Tool Developer Developed custom AI model from scratch to detect entities from crime documents using Named Entity Recognition (NER). Manually collected and curated data, achieving over 80% accuracy in entity identification. Integrated Spacy's en_core_web_trf model to enhance performance. Expanded model to include additional entities such as UPI IDs, bank names, and credit card numbers. Utilized Flask to expose APIs for seamless integration with backend systems. Collaborated with colleagues to develop UIs using React and Node.js for displaying results and analytics.

Education

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Bachelor’s Degree
Computer Science
2016 - 2022
活動・団体
Cricket Team
詳細
In college, I delved into two transformative projects. Firstly, I developed a CNN model that could swiftly diagnose pneumonia from chest X-ray images, aiding in medical diagnosis. Secondly, I engineered an algorithm for real-time trading, automating decision-making processes in financial markets. The culmination of my efforts led to the publication of a research paper in the esteemed *Journal of Algebraic Statistics*, shedding light on the innovative use of statistical methods in automated trading systems. These endeavors not only expanded my technical prowess but also instilled in me a passion for interdisciplinary research at the forefront of technology and finance.