Certified Advanced Data Science and AI, IIT@ Madras
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
NTTData
Data Science and AI ML Intern
June 13, 2026 – Present
AWS-Data-Engineering-Materials
July 18, 2024 – July 13, 2025
AWS-Data-Engineering-Materials — GitHub repository
View ProjectDataBricks-Performance-Optimization-Pyspark
July 8, 2024 – July 10, 2025
DataBricks-Performance-Optimization-Pyspark — GitHub repository
View ProjectSpark-SQL-and-Py-Spark-Scenario-Based-Interview-Questions
June 26, 2024 – September 19, 2025
Preparing for a Spark SQL and PySpark interview involves gaining a solid understanding of both theoretical concepts and practical implementation. Here's a most important scenario based asked in real time interview questions MNC to help you get started:
View ProjectApache-PySpark-Material
May 5, 2024 – July 9, 2025
Apache-PySpark-Material — GitHub repository
View ProjectSQL-Interview-Scenario-Real-Time-
November 1, 2023 – February 16, 2025
SQL-Interview-Scenario-Real-Time- — GitHub repository
View ProjectAzure-DataBricks-for-DE
October 22, 2023 – November 1, 2025
Azure-DataBricks-for-DE — GitHub repository
View ProjectSpark_NSE_Real_Time_Streaming
June 7, 2023 – January 31, 2024
This project object is to design and implement a data flow to acquire, store, process and visualize analytics from real-time stock market price generated across India. The application makes use of common distributed computing technologies for working with large volumes of data at scale, and for the visualization of the data.
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong self-starter attitude and a proactive approach to learning new technologies relevant to data science and data engineering. The projects are diverse within the data domain, suggesting adaptability. However, the target role is 'Data Science and AI ML Intern', while many projects lean heavily towards Data Engineering. This suggests a potential misalignment or a need to further develop explicit AI/ML skills to fully fit the target role's core requirements. The current experience is an internship, which aligns with the 'Intern' aspect of the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and there are no psychometric or English test scores provided for evaluation.