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Data Analyst with less than a year in SQL, Python & Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst skilled in SQL, Python, Power BI, AWS, and Machine Learning with experience in building automated reporting systems, ETL workflows, and data-driven solutions. predictive analytics, and business insights.
Dayanand Science College, Latur
Bachelor of Science · Computer Science
January 1, 2022 – January 1, 2025
Innov8e Edutech Services
Data Analyst Intern
September 1, 2025 – March 1, 2026
India
AI-Powered E-commerce Analytics & Forecasting Platform
June 23, 2026 – Present
Built an end-to-end system using Python, SQL, PostgreSQL, Power BI, AWS, and ML for automated reporting. Designed ETL pipelines, data cleaning, and EDA workflows to process large datasets and improve data accuracy. Implemented ML models for forecasting and customer segmentation for data-driven decisions. Automated reporting workflows, reducing manual effort by 85%.
Automated Data Quality & Analytics Engine
June 23, 2026 – Present
Developed automated pipeline using Python, SQL, and Power BI for data transformation and reporting. Built KPI dashboards and EDA workflows to improve data consistency and quality. Optimized reporting system through automated data processing and visualization.
Data Analytics Certification
EduTech Training Institute, Pune
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to learning and applying data analytics skills. The personal projects, especially the 'AI-Powered E-commerce Analytics & Forecasting Platform', show a drive for end-to-end solution development and an interest in leveraging advanced techniques like ML. The internship experience further solidifies their commitment to the data analyst role. The breadth of tools and technologies used (Python, SQL, Power BI, AWS, ML) suggests adaptability and a willingness to explore different solutions, which are positive indicators for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience indicate an ability to collaborate with cross-functional teams and optimize workflows, suggesting a good operational fit. The focus on automating tasks and improving data accuracy aligns with typical data analyst responsibilities. However, without specific psychometric test results, a deeper assessment of soft skills like logical reasoning, stress handling, and team collaboration is not possible.