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Data Engineer | 6+ Years Experience | ETL & Cloud Data Pipelines using SQL, Python, Snowflake, AWS, and PySpark.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
NTT Data
Data Scientist
June 18, 2026 – Present
ML_Assignment_2
February 3, 2026 – Present
Machine Learning Assignment 2 – Bank Term Deposit Subscription Prediction using multiple classification models and Streamlit deployment.
View Projectecommerce-repeat-customer-prediction
November 9, 2025 – November 9, 2025
Predicting repeat e-commerce customers using Kaggle dataset (10k+ rows). Full CRISP-DM: EDA, cleaning, feature selection (MI+Chi2), Decision Tree & Random Forest (100% acc).
View ProjectKafka-Market-Stream
July 23, 2025 – July 24, 2025
Real-time stock market data pipeline built using Apache Kafka, AWS (S3, Glue, Athena), and Python. Demonstrates scalable ingestion, transformation, and querying using a modern data lake architecture.
View ProjectSales-Performance
February 22, 2024 – February 22, 2024
Welcome to the Sales Key Performance Dashboard repository! This dashboard provides essential insights into various key performance indicators (KPIs) related to sales, enabling stakeholders to make informed decisions and track the performance of their sales operations.
View ProjectNYC-311-Data-Analysis
July 18, 2022 – July 18, 2022
NYC-311-Data-Analysis — GitHub repository
View Projectmy-portfolio-website
July 17, 2022 – June 27, 2023
my-portfolio-website — GitHub repository
View Projectnetflix-clone
July 17, 2022 – June 1, 2022
Clone of the popular OTT "Netflix" structured using Next.JS, Stripe API for Payments and styled using Tailwind & Material UI, firebase for DB and finally deployed on Vercel
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and machine learning, aligning with the target role. However, the projects are predominantly personal, and there is only one listed professional experience which is current and has no start date, making it difficult to assess long-term commitment or team collaboration experience. The diversity of technologies used across projects (Python, Jupyter Notebook, JavaScript, HTML, CSS, AWS, Kafka) suggests adaptability and a willingness to learn, but the depth of experience in each is not fully clear from the descriptions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test results are available. Project descriptions are brief, limiting insight into communication style or collaboration.