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Data Engineer with 1+ years in Data Analysis & ETL Pipelines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience in data analysis, SQL querying, ETL processes, KPI reporting, dashboard development, and data validation. Proficient in Python, Power BI, Tableau, MySQL, and Advanced Excel for data cleaning, visualization, business intelligence reporting, and decision support. Skilled in exploratory data analysis (EDA), data governance, reporting automation, and transforming large datasets into actionable insights that support business growth and data-driven decision-making.
Sant Gadge Baba Amravati University
Bachelor of Engineering · Information Technology
August 1, 2020 – June 30, 2024
WeAgile Software Solutions
Data Management Engineer
December 1, 2025 – Present
Pune, Maharashtra, India
CodeSoft
Data Analyst Intern
October 1, 2024 – March 1, 2025
India
E-Commerce Customer Behavior & Sales Analytics
June 21, 2026 – Present
Analyzed 100K+ transactional records using Python (Pandas, NumPy) and SQL to identify customer purchasing patterns, seasonal trends, and revenue drivers. Built an end-to-end ETL pipeline for data extraction, transformation, validation, and loading, achieving 98% data accuracy. Developed interactive Power BI dashboards with DAX measures to monitor sales KPIs, customer retention, and product performance metrics.
Email Spam Detection
June 21, 2026 – Present
Processed and analyzed 5,172 email records through data cleaning, feature engineering, and text preprocessing techniques. Developed a machine learning model using K-Nearest Neighbors (KNN) for spam classification, achieving 100% accuracy. Conducted exploratory data analysis (EDA) and feature selection to improve model performance and classification reliability.
IBM Z Operational Log and Data Analytics (ISG-DL006055G)
IBM
June 1, 2026 – Present
Full Stack Python Development Course
CIIT Institute, Pune
May 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects and experience show a strong alignment with data-centric roles, particularly in data analysis and data engineering. The diversity of projects (e-commerce analytics, spam detection) and exposure to different tools (SQL, Python, Power BI, CVAT) indicate a willingness to learn and adapt. The certifications further demonstrate a proactive approach to skill development, which aligns well with a culture of continuous improvement.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking and problem-solving skills through project work and professional experience. Their ability to collaborate with stakeholders and attention to detail are mentioned, which are crucial for operational fit in a data engineering role. The experience with CVAT suggests adaptability to specialized tools.