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Data Analyst with 1+ years in Python & SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst professional with experience in Python, SQL, Power BI. Skilled in ETL pipelines, data wrangling, and dashboard design following UI/UX best practices. Comfortable working in agile, cross-functional, global environments. Eager to find insights with consulting-style, problem-solving approach. Internship experience at Mercedes-Benz R&D India, statistics, and machine learning.
Sri Venkateswara University
Master of Computer Applications (MCA) · Pursuing
March 1, 2023 – March 1, 2025
Sri Venkateswara University
Bachelor of Computer Science (BSc) · Computer Science
March 1, 2019 – June 1, 2023
Mercedes-Benz Research & Development India
Data Analyst & Research Intern
January 1, 2025 – Present
Bengaluru, Karnataka, India
Customer Behavior & Campaign Analysis
June 1, 2026 – Present
Processed 3,900+ customer records using Python, optimised SQL (CTEs, window functions), data-prep workflows. Achieved 98% data completeness and cutting ad hoc turnaround by 35%. Conducted trend, cohort, and funnel analysis across 15+ variables. Uncovered 5 revenue trends and 3 customer segments, built 9 Power BI dashboards (DAX, scorecards, drill-through) monitoring 8+ KPIs.
Bank Loan Performance Dashboard
June 1, 2026 – Present
Designed a normalised SQL Server database with 25+ optimised queries reducing run time by ~30%. ETL'd 70M DAX calculations cut manual reporting effort by 60%. 3 dashboards tracking 10+ KPIs with QA testing. Performed risk segmentation across 4 key dimensions following dashboard testing and data quality assurance process, improving data accuracy by 10%.
Data Architecture & Analytics Platform
June 1, 2026 – Present
Architected a Medallion Data Warehouse (Bronze -> Silver -> Gold) on SQL Server ingesting ERP and CRM sources into a star schema supporting agile business reporting and iterative delivery. Built end-to-end ETL pipeline (Python & SQL) for extraction, cleansing, transformation, and loading; delivered analytics on customer behaviour, product performance, and sales trends.
View ProjectPractical AI tools for productivity and business intelligence
belix
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte Australia
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from customer behavior analysis to bank loan performance and data architecture, indicates a broad interest and adaptability to different business domains. The pursuit of a Master's degree while having professional project experience shows a commitment to continuous learning and growth. The internship at a global company like Mercedes-Benz suggests an ability to work in diverse and potentially fast-paced environments. The skills listed align well with a Data Analyst role, demonstrating a clear career path and focus.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, attention to detail, and problem-solving skills, as evidenced by their project work and internship. Their ability to communicate findings clearly to cross-functional teams is a positive indicator for operational fit. The project descriptions highlight a results-driven approach and an understanding of data quality and reliability, which are crucial for a Data Analyst role. However, the current internship description is very generic and does not provide specific examples of collaboration or communication, making it difficult to fully assess the depth of these soft skills.