Data Analyst with less than a year in Data Science & ML Operations.
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 and motivated aspiring Data Analyst with hands-on experience in Data Science, Machine Learning Operations, and Business Analytics. Skilled in Python, SQL, Power BI, Tableau, Excel, Pandas, and NumPy with practical exposure to data analysis, dashboard development, KPI monitoring, and reporting. Passionate about transforming raw data into actionable insights and contributing effectively in data-driven environments through analytical thinking and continuous learning.
Bapuji Institute of Engineering and Technology
Information Science and Engineering · Information Science and Engineering
January 1, 2022 – July 1, 2025
Amazon
Associate ML Data Operations
August 1, 2025 – February 1, 2026
Bengaluru, Karnataka, India
Customer Segmentation Analysis
June 5, 2026 – Present
Cleaned and analyzed customer transaction datasets using SQL and Python to perform RFM-based customer segmentation analysis. Identified high-value and at-risk customers by analyzing purchasing behavior, revenue contribution, and transaction patterns. Built an interactive Power BI dashboard to visualize customer segments, KPIs, and revenue insights for better decision-making. Improved business analytical insights by 30% through data visualization, reporting, and customer behavior analysis techniques.
Crowdsourced Waste Reporting and Collection System
June 5, 2026 – Present
Developed a real-time civic reporting platform enabling citizens to report and track waste management issues through web and mobile applications. Implemented a Flask backend with NoSQL database integration to store, manage, and forward issue reports efficiently. Built a responsive Flutter-based user interface to support issue submission, live status tracking, and improved user engagement. Enhanced waste management communication and operational efficiency through automated reporting and centralized issue monitoring.
Data Science Internship Certification
AI Variant
April 1, 2026 – Present
Data Science Programme Certification
ExcelR
March 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of technical interests, from data analysis to full-stack development (Flask, Flutter). The target role of Data Analyst aligns well with the 'Customer Segmentation Analysis' project and the 'Associate ML Data Operations' experience. The certifications in Data Science further reinforce this alignment. The diversity in project types (data analysis, web/mobile development) indicates adaptability and a willingness to explore different technical domains, which can be a positive for cultural fit in dynamic environments. However, the limited professional experience (6 months) and academic nature of most projects suggest a need for further development in real-world, complex business scenarios.
Soft Skills & Operational Fit
The candidate's professional summary highlights being detail-oriented, motivated, and passionate about transforming raw data into actionable insights, which are positive indicators for operational fit. The Amazon experience in tracking KPIs and monitoring dashboards suggests an ability to work within structured operational environments. However, without specific psychometric test results, a deeper assessment of soft skills like logical reasoning, stress handling, and team collaboration is not possible.