student at IITBombay.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
RL_algos
April 21, 2020 – April 21, 2020
Implementation of famous reinforcement learning algorithms.
View ProjectDecMeg2014---Decoding-the-Human-Brain
April 16, 2018 – April 16, 2018
kaggle comp to decode meg data
View ProjectBCI_challenge_2015
August 9, 2017 – September 16, 2017
trying to solve the bci problem of event detection given in bci challenge 2015. problem was given in kaggle compitition.data is also taken from the kaggle compitition website.
View ProjectSNR_understanding
July 11, 2017 – July 11, 2017
understanding the benefit of digital signals over analog signals during long communication.
View Projectkarplus_strong_algorithm
July 11, 2017 – July 11, 2017
implementation of algorithm to generate musical sounds.
View Projecttake_screenshot_find_text
June 16, 2017 – June 19, 2017
this is used to take computer screenshot using python and try to find all the text present in it.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, indicating a strong individual drive for learning and exploration in data science. However, the lack of team-based projects or professional experience makes it difficult to assess cultural fit in a collaborative work environment. The project diversity is good within the data science/signal processing domain, but lacks breadth in other software engineering aspects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.