An aspiring data scientist and an intern at @fliprobo
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
FlipRobo
Data Scientist
June 13, 2026 – Present
Power-Pivot-and-DAX-
April 20, 2023 – April 20, 2023
Power-Pivot-and-DAX- — GitHub repository
View ProjectMadhav-store-Analysis
March 3, 2023 – March 3, 2023
Madhav-store-Analysis — GitHub repository
View ProjectVrinda-Store-Data-Analysis
March 3, 2023 – March 3, 2023
Vrinda store Analysis by using Excel
View ProjectSQL_MUSIC_STORE-ANALYSIS
February 4, 2023 – February 4, 2023
The project digital music store case study using SQL. It includes analysis of various datasets such as Employee, Customer, Artist, Playlist, Playlist track, Album, Track, Invoice, media, genre etc with questions covering a range of difficulty levels from basic to advanced. A valuable resource for gaining deeper insights into SQL and data analysis.
View ProjectWORKSHEET-SET----7
January 15, 2023 – January 15, 2023
WORKSHEET-SET----7 — GitHub repository
View ProjectWORKSHEET-SET--6
January 15, 2023 – January 15, 2023
WORKSHEET-SET--6 — GitHub repository
View ProjectFAKE-NEWS-DETECTION-PROJECT
January 8, 2023 – January 8, 2023
FAKE-NEWS-DETECTION-PROJECT — GitHub repository
View ProjectCustomer-Churn-Analysis
January 2, 2023 – March 9, 2023
Preventing customer churn is critically important to the telecommunications sector, as the barriers to entry for switching services are so low.
View ProjectEMAIL-SPAM-CLASSIFIER
December 26, 2022 – December 26, 2022
EMAIL-SPAM-CLASSIFIER — GitHub repository
View ProjectEvaluation-Project
September 20, 2022 – October 17, 2022
Here I have submitted all my projects that I made during my Evaluation phase
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data analysis and machine learning, aligning with a Data Scientist role. The diversity of projects (e.g., customer churn, fake news detection, email spam classification, store analysis) indicates a broad interest in applying data science across different domains. However, the lack of detailed descriptions for most projects and the absence of team-based projects make it difficult to fully assess collaborative potential or cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.