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Data Engineer with 1+ years in Data Pipelines & Analytics
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Assessing your cultural and operational fit
Aspiring Data Engineer with strong foundations in Python, SQL, and data structures. Experienced in building end-to-end data pipelines, data cleaning, transformation, and analytics workflows. Passionate about converting raw data into scalable, reliable, and actionable insights through efficient ETL processes and automation.
Pragati Engineering College
B.Tech · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Verizon India
Software Development Engineer (SDE-1)
July 1, 2025 – Present
India
Verizon India
ServiceNow Developer Intern
January 1, 2025 – June 1, 2025
India
Tekorse Technologies
HR Intern (Remote)
September 1, 2023 – December 1, 2023
India
End-to-End Machine Learning Data Pipeline
June 1, 2026 – Present
Designed a complete pipeline from raw data ingestion to model evaluation. Performed data validation, cleaning, and transformation using Pandas and NumPy. Conducted feature engineering and EDA to improve data quality. Trained and evaluated ML models using Scikit-learn with standard metrics. Automated workflows for reproducibility and scalability. Visualized insights using Matplotlib and Power BI.
View ProjectStock Price Prediction System
June 1, 2026 – Present
Ingested and processed historical stock data from Yahoo Finance. Engineered rolling statistics and lag-based features for prediction. Built machine learning classification models to predict daily price movement. Evaluated model performance using precision, recall, and F1-score. Visualized trends and predictions for analytical insights.
View ProjectServiceNow Certified Application Developer
ServiceNow
June 1, 2026 – Present
ServiceNow Certified System Administrator
ServiceNow
June 1, 2026 – Present
Google Data Analytics Certificate (Coursera)
Coursera
June 1, 2026 – Present
NPTEL - Data Analytics with Python
NPTEL
June 1, 2026 – Present
NPTEL - Data Science for Engineers
NPTEL
June 1, 2026 – Present
Amazon ML Summer School 2024
Amazon
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, including an End-to-End Machine Learning Data Pipeline and a Stock Price Prediction System, demonstrates initiative and a broad interest in data-related applications. The SDE-1 role at Verizon India, while having a software development title, includes significant data engineering responsibilities like building data cleaning and intent generation pipelines and automating data workflows, aligning well with a Data Engineer target role. The breadth of skills listed (Python, Java, SQL, ETL, Data Modeling, Pandas, NumPy, Spring Boot, MySQL, PostgreSQL, Power BI) further supports a good cultural fit for a dynamic data engineering environment. The various certifications also show a proactive learning approach.
Soft Skills & Operational Fit
The candidate's resume highlights analytical thinking, problem-solving, communication, and teamwork as soft skills. The experience in collaborating with data science teams and improving NLP-driven conversational flows suggests good operational fit for roles requiring cross-functional interaction. The psychometric test score of 360/500 indicates a reasonable aptitude for logical reasoning and work attitude, though specific details on stress handling and team collaboration are not provided.