
Senior Software Developer | AI | Fintech | Web3 Enthusiast
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Indian Institute of Information Technology
Data Scientist
June 19, 2026 – Present
Multi-modal-music-genre-classification
October 12, 2020 – October 13, 2020
Multi-modal-music-genre-classification — GitHub repository
View ProjectPyConIndia2020
October 2, 2020 – October 2, 2020
PyCon India 2020 session: Towards a more transparent AI: Decrypting ML Models using LIME
View ProjectWomenWhoCode_NYC-Event
September 20, 2020 – September 20, 2020
WomenWhoCode_NYC-Event — GitHub repository
View ProjectGirlscript_Webinar
August 23, 2020 – August 24, 2020
All resources for Streamlining Machine Learning Pipelines: EDA to deployment
View Projectfirefly
January 2, 2020 – January 21, 2020
Enhancing Object Detection in using Thermal Imaging for thin cross-section unidentifiable objects(eg. cyclist, pedestrians).
View ProjectPyConf-2019---Lime-Workshop
December 6, 2019 – December 7, 2019
Presentation and hands on codes for Lime Workshop at PyConf 2019
View ProjectFake-News-Detector
November 1, 2019 – December 8, 2019
Fake news Detection using Passive Agression Algorithm
View ProjectHealthPro
October 31, 2019 – October 31, 2019
Smart Disease predictor developed using ML models.
View Projectsize--Estimation
June 18, 2019 – July 6, 2022
Size estimation of 3D objects from 2D images
View ProjectCultural Fit Analysis
The candidate shows a strong interest in personal projects related to Data Science and Machine Learning, indicating a proactive and self-driven learning approach. The projects cover diverse areas within ML, suggesting adaptability and a broad interest in the field. However, the lack of detailed descriptions makes it difficult to fully assess the depth of engagement or collaborative potential. The single listed professional experience is current, but without details, it's hard to gauge cultural alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.