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Brillio Technology
Data Scientist
June 12, 2026 – Present
Innomatics-Internship-August-2024
August 31, 2024 – August 31, 2024
Repository on Codes and Learnings from the Innomatics Research Labs Data Science and GenAI Internship done in August 2024.
View ProjectHandwritten-Notes
April 10, 2023 – April 24, 2023
This Repository contains the Handwritten Notes by me on different Topics of Data Science and Machine Learning
View ProjectLeetcode
March 8, 2023 – June 6, 2023
Repository for LEETCODE Problems of the Day as well as Coding Questions in Weekly and Biweekly Contests
View ProjectProbability-and-Statistics
March 3, 2023 – April 5, 2023
This Repository covers basics and some advanced concepts of Probability and Statistics used in the Data Domain.
View ProjectData_Science_Projects
March 1, 2023 – September 20, 2024
Different Projects based on Data Science Domains , depending on different Problem Statements and Data Available.
View ProjectMachine_Learning
March 1, 2023 – March 17, 2023
Work and Efforts put by me towards learning Machine Learning, consisting of 3 Sub-Topics : Mathematics for Machine Learning , Supervised Machine Learning and Unsupervised Machine Learning.
View ProjectInterviewBit-Questions
February 24, 2023 – February 28, 2023
InterviewBit-Questions — GitHub repository
View ProjectSQL-Practice
January 18, 2023 – April 10, 2023
This Repository contains the SQL Practices done for Different Platforms and Sources
View ProjectScaler-Research-Mini-Projects
November 9, 2022 – February 1, 2023
This Repository contains all the Projects I did , while working on Research Field in Data Science
View ProjectInnomatics-Internship-July-2022
July 26, 2022 – October 27, 2022
This Repository contains all the Assignments , Projects and Programs assigned to me while I was a Data Science Intern at Innomatics Research Labs (Internship July 2022 Batch)
View ProjectCultural Fit Analysis
The candidate shows initiative through numerous personal projects, indicating a self-starter attitude. The projects cover a good breadth of Data Science topics, suggesting adaptability and a willingness to learn. However, the descriptions are brief, making it hard to gauge depth of collaboration or problem-solving approaches.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.