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Gunjan H. AI, Data Science and Machine Learning Platforms

My name is Gunjan H. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Python, Computer Vision, TensorFlow, Data Science, pandas, etc.. I hold a degree in Bachelor of Technology (BTech). Some of the notable projects I've worked on include: POS tags with Attention Embeddings for Causality Detection in Finance, High-Res Lunar Terrain Image Regen using SRResNet with SAM Criteria, Forecasting Active Particles Paths with Pre-LN Transformers (& L-LSTM), PyBMS: Enhanced BMS usingTV4DX-LSTM with Parallel Rectified Filtration, Multi-Purpose Rank Estimating Using RankNet and LambdaMart with NDCG, etc.. I am based in Kolkata, India. I've successfully completed 10 projects while developing at Softaims.

I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.

I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.

My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.

Main technologies

  • AI, Data Science and Machine Learning Platforms

    3 years

  • Python

    2 Years

  • Computer Vision

    1 Year

  • TensorFlow

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

ISRO-IIRS

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Experience Highlights

CovidOps: AI-based Android App for COVID-19 checkups using Cough Audio

Utilizing cough-voice data, Spectrograms, Spectral Centroid, Zero Cross rate, Chroma Frequencies, Spectral Roll-off, and MFCC will be extracted and preprocessed using SMOTE, Autoencoders, and General

Hyperspectral Image Processing using Siamese Neural Networks

Researched the analysis of HyperSpectral Images and developed a Python package that helps to discover all the minerals in the plot area represented by the images. Optimizing mining locations using EO-

Education

  • IIT Dhanbad

    Bachelor of Technology (BTech) in Data Science, Mechatronics

    2019-01-01-2023-01-01

Languages

  • Bengali (Native or Bilingual)
  • English (Fluent)✓
  • Hindi (Fluent)