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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
datawatch-observability-platform
June 12, 2026 – Present
datawatch-observability-platform — GitHub repository
View ProjectZomato-RestroAnalytics
March 15, 2026 – Present
Zomato-RestroAnalytics — GitHub repository
View ProjectEcommerce-Transaction-Real-Time-Data-Pipeline
February 2, 2025 – February 17, 2025
A real-time data pipeline for processing e-commerce transactions using Apache Kafka, AWS Lambda, and AWS RDS. Data is transformed with Databricks and PySpark, stored in AWS S3, and visualized using Power BI for sales trends and customer analytics.
View ProjectNeural-Machine-Translation-using-Seq2Seq
January 12, 2025 – January 12, 2025
Sequence-to-Sequence Model for Machine Translation 🌐 | A project by Group 6, CDAC DBDA, implementing an Encoder-Decoder architecture with LSTM layers for text sequence generation. Supports training and inference with token-level embeddings, masking, and softmax-based outputs. Ideal for applications like language translation and text summarization.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data-related and machine learning projects, which aligns with a Data Scientist role. However, the projects are predominantly personal and lack details on team collaboration or contributions to open-source/community initiatives, making a comprehensive cultural fit assessment challenging. The diversity of technologies used across projects (e.g., AWS, Kafka, PySpark, LSTM) suggests adaptability and a willingness to learn new tools.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on complex technical tasks, but there is no information regarding teamwork, communication, or problem-solving in a collaborative environment.