
Engineering Graduate, BML Munjal University (2024) Data Engineer Intern @Edubot | Data Science, 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
Edubot
Data Scientist
June 16, 2026 – Present
Internship-Certificates
June 6, 2026 – Present
Internship and training completion certificates.\
View ProjectEmail-Assistant
June 6, 2026 – Present
AI-powered email generation assistant using Gemini AI, Streamlit, and prompt engineering.
View ProjectSource-Code-Analysis
June 6, 2026 – Present
LLM-powered source code analysis tool using LangChain, ChromaDB, Flask, and Gemini AI.
View Projectspotify-genre-analysis
September 6, 2025 – September 6, 2025
spotify-genre-analysis — GitHub repository
View Projectnetflix-clustering-analysis
July 3, 2025 – July 3, 2025
Unsupervised clustering of Netflix movies and TV shows using KMeans, DBSCAN, and Hierarchical clustering. Includes genre encoding, PCA visualization, and cluster evaluation with Silhouette and Davies-Bouldin metrics.
View ProjectCustomer_Behavior_Analysis
July 2, 2025 – July 2, 2025
Customer_Behavior_Analysis — GitHub repository
View ProjectToxic-Comment-Classification-MultiLabel
July 2, 2025 – July 2, 2025
A deep learning model for multi-label classification of toxic comments using focal loss
View Projectphonepe-transaction-insights
July 1, 2025 – July 1, 2025
Analysis of PhonePe transaction data using SQL, Python, and Power BI
View Projectpowerpulse-energy-forecast
July 1, 2025 – July 1, 2025
forecast household energy usage using ML models
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration in data science and AI. The current role as a Data Scientist at Edubot aligns with the target role. However, the experience level is listed as 0, which contradicts the current full-time role, suggesting potential data inconsistency or very recent entry into the role. The projects are diverse within the data science domain, indicating a broad interest and willingness to tackle different problems.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.