Bigdata ecosystem, Microsoft Power BI, Microsoft Azure (ADF, Blob, Logic apps, Synapse Analytics and EDW), PowerApps, Python, Pyspark, Data Science, ML,DL
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Assessing your cultural and operational fit
HCL Technologies
Data Science
June 15, 2026 – Present
Pyarungupta-Car-Price-Prediction-end-to-end-project
November 7, 2021 – November 7, 2021
Pyarungupta-Car-Price-Prediction-end-to-end-project — GitHub repository
View Projectlist-of-ML-algorithms
October 27, 2021 – October 27, 2021
list-of-ML-algorithms — GitHub repository
View ProjectAmper
December 29, 2020 – December 29, 2020
Problem Outline Identify the most correct model out the five provided models and based on the provided state examples. Include any graphs or code used in making this determination. a. Explain why the other models do not perform as well as the model you selected as the most correct model. Assume the model you selected as correct in Problem 1 as the source of truth, write a scoring function to assess the accuracy of the other four models against the correct model. Explain why you chose the method you did. Assuming you can only select a contiguous 2 hour segment from the 24 hour segment from Problem 1: select one 2 hour segment such that it would best distinguish between all of the other incorrect models. Explain your reasoning. a. Hint: you can use the accuracy function you introduced in Problem 2.
View ProjectMachine-Learning-for-Everyone
July 20, 2019 – July 20, 2019
Machine Learning for Everyone
View ProjectNeural-Networks-and-Deep-Learning
January 2, 2019 – January 2, 2019
Neural-Networks-and-Deep-Learning — GitHub repository
View Projectpython-with-django
December 14, 2018 – December 17, 2018
python-with-django — GitHub repository
View ProjectPowershell-Trip-s-and-tricks
December 13, 2018 – December 13, 2018
Powershell-Trip-s-and-tricks — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong personal interest in Data Science and Machine Learning, which aligns with the target role. However, the projects are predominantly personal and lack detailed descriptions of collaboration or team-based work, making it difficult to assess cultural fit beyond individual drive. The experience level is 0, indicating a very junior profile for a 'Data Science' role, which might impact immediate cultural integration into a senior team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.