Data Analyst with 1+ years in Data Cleaning & EDA
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Data-driven professional with 1.5 years of experience as an Associate Software Engineer, specializing in data science. Proven ability to analyze structured and unstructured datasets, perform data cleaning, transformation, and exploratory data analysis (EDA) to extract actionable insights. Skilled in Python, SQL, Power BI, and NLP, with a focus on building data pipelines, creating visualizations, and automating processes to support business decision-making.
Christ (Deemed to be) University
B.Tech · Computer Science with specialization in data science
August 1, 2020 – June 30, 2024
Simtech IT Solutions
Associate Software Engineer
July 1, 2024 – December 1, 2025
Bengaluru, Karnataka, India
Web Data Extraction & Market Analysis
June 20, 2026 – Present
Designed web scraping pipelines using Python (BeautifulSoup, Requests) to extract and process structured data from multiple sources, performed data cleaning and exploratory data analysis (EDA) to identify pricing trends and market insights, and built Grafana dashboards to visualize findings and support data-driven decision-making.
AI-Powered Data Automation & Insights Agent
June 20, 2026 – Present
Developed AI-powered agents using Python and APIs to automate data extraction, processing, and insight generation workflows, performed data cleaning and exploratory data analysis (EDA) on collected datasets, and generated actionable insights to support faster decision-making and reporting.
Data Cleaning & Transformation Pipeline
June 20, 2026 – Present
Developed data processing workflows to clean, transform, and standardize structured and unstructured datasets using Python and SQL, performed exploratory data analysis (EDA) to identify inconsistencies and data quality issues, and improved dataset reliability to support accurate reporting and analysis.
Microsoft Power BI Data Analyst Associate
Coursera
June 1, 2026 – Present
IBM Data Analytics
SkillsBuild
June 1, 2026 – Present
SQL & Power BI Bootcamp
Udemy
June 1, 2026 – Present
Business Analysis Fundamentals
IIBA
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to problem-solving and a focus on delivering actionable insights, which aligns with a data-driven culture. The diverse set of certifications and project types (web scraping, AI agents, data pipelines) indicates a willingness to learn and adapt to new technologies. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration with cross-functional teams and translating business requirements into analytical workflows, suggesting good operational fit and teamwork potential. The focus on automating processes and improving efficiency aligns with a results-oriented approach.