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Assessing your cultural and operational fit
IIIT Delhi
Blockchain Developer
June 16, 2026 – Present
BoothsAlgo
March 19, 2020 – March 19, 2020
Multiplication using Booth's algorithm and Division using Restoring Division Algorithm, implemented in python3.
View ProjectTwoPassAssembler
March 19, 2020 – March 19, 2020
A two-pass assembler written using PYTHON 3
View ProjectNaiveBayesClassified
March 19, 2020 – March 19, 2020
Applied Naive Bayes classification on open source datasets
View ProjectMoments
March 16, 2020 – March 16, 2020
A Python application which captures moments of happiness and surprise from a video stream of one or more people using OpenCV.
View ProjectPolyTransformer
March 16, 2020 – March 16, 2020
An interactive python program to apply transformations (both linear and non - linear) to an object and plot it using matplotlib.
View ProjectNodeInBetween
March 16, 2020 – March 16, 2020
Python application which returns all the nodes with highest Betweenness Centrality in a given undirected unweighted graph.
View ProjectWeatherForecaster
March 15, 2020 – March 15, 2020
Python application which gets weather data using OpenWeatherMap API and extracts information like temperature, humidity etc.
View ProjectK-map-Simplifier
December 22, 2019 – March 15, 2020
Python program to simplify and minimise a boolean expression using K-Maps.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal exploration and learning, particularly in Python and early blockchain concepts. The 'blockstudio' project aligns directly with the target role of Blockchain Developer. However, the overall project diversity is heavily skewed towards Python, with limited exposure to other ecosystems relevant to enterprise blockchain development. The experience level is very low, which might impact immediate cultural fit within a senior team requiring extensive industry experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.