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Data Analyst with 1+ years in Data Integrity, BI Reporting & Visualization
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 integrity, BI reporting, and visualization. Skilled in SQL, Python, Power BI, Tableau, and Excel. Strong statistical foundation with proven ability to deliver insights.
VTU / Akshaya Institute of Technology
Bachelor of Engineering (B.E.) · Computer Science & Engineering
N/A – June 30, 2023
Sagility
Process Consultant
September 1, 2025 – Present
India
One Origin
Data Integrity Analyst
June 1, 2024 – June 1, 2025
India
Concentrix
Data Advisor
December 1, 2023 – June 1, 2024
India
Nine-Star Technologies
Data Specialist
August 1, 2023 – November 1, 2023
India
Inventreon Technologies
Data Analyst Intern
May 1, 2023 – July 1, 2023
Bengaluru, Karnataka, India
Geekwick Technologies
Data Analyst Intern
December 1, 2022 – April 1, 2023
Bengaluru, Karnataka, India
Sales Performance Dashboard
January 1, 2023 – December 31, 2023
Business Requirement: Leadership required real-time visibility into sales KPIs across multiple regions and product categories. Data Sources: SQL Server transactional database, Excel reports, CRM extracts. Technologies Used: Power BI, SQL, DAX, Power Query. Project Flow: Extracted and consolidated raw data → performed ETL → built data model in Power BI → created dashboards with drill-through and filtering. Key Achievements: Automated reporting reduced manual prep by 40% and improved forecasting by 20%. Outcome: Delivered a single source of truth for sales performance, supporting quarterly reviews.
Customer Churn Analysis
January 1, 2023 – December 31, 2023
Business Requirement: Identify factors driving customer attrition and provide retention strategies. Data Sources: Customer transactions, CRM logs, support ticket data. Technologies Used: Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn), SQL, Tableau. Project Flow: Queried datasets with SQL → conducted EDA → built predictive models (Logistic Regression, Decision Trees, 85% accuracy) → visualized churn-prone segments. Key Achievements: Identified top 3 churn predictors (tenure, service usage, support requests). Outcome: Pilot campaigns based on recommendations reduced churn risk by 12%.
E-commerce Data Analysis
January 1, 2023 – December 31, 2023
Business Requirement: Enable marketing and product teams to optimize campaigns and product placement. Data Sources: Transactional e-commerce database, web logs, demographics. Technologies Used: Tableau, SQL, Excel, Python (EDA). Project Flow: Cleaned and structured data with SQL → conducted cohort/funnel analysis → built Tableau dashboards for category trends, segmentation, and seasonal analysis. Key Achievements: Identified underperforming categories, optimized targeting. Outcome: Marketing changes boosted campaign ROI by 15%.
Power BI Data Analyst (PL-300)
Unknown
June 30, 2026 – Present
Tableau Desktop Specialist
Unknown
June 30, 2026 – Present
SQL for Data Science
Coursera
June 30, 2026 – Present
Python for Data Analysis
Coursera
June 30, 2026 – Present
Advanced Excel for Data Analytics
Udemy
June 30, 2026 – Present
Java Programming - Oracle Certified
Oracle
June 30, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (e-commerce, sales, customer churn) and experience across multiple companies (Concentrix, One Origin, Nine-Star Technologies) indicate a broad exposure to different business contexts and data challenges. The listed certifications and continuous learning efforts (Coursera, Udemy) suggest a proactive and growth-oriented mindset, which is a positive cultural fit. The target role of Data Analyst aligns well with the candidate's demonstrated skills and career trajectory, showing a clear focus on data-driven roles.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as communication & storytelling, analytical thinking, problem-solving, team collaboration, and adaptability. These are essential for a Data Analyst role, especially when presenting insights and working with cross-functional teams. The project descriptions indicate an ability to translate business requirements into analytical solutions and communicate outcomes effectively. The experience in various companies, though short-term, suggests adaptability to different operational environments.