Data Analyst with 2+ years in Data Analysis, Reporting & Dashboard Development
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-driven professional with experience in data analysis, reporting, and dashboard development using SQL, Python, Power BI, and Excel. Strong analytical and problem-solving skills with a passion for supporting business decisions through data insights.
ISBM College of Engineering
B.E. · Computer Engineering
August 1, 2019 – July 1, 2023
INNODATA India Pvt. Ltd.
Analyst LLM/practice
December 1, 2025 – May 1, 2026
India
Tech Mahindra
Trainee Associate
April 1, 2025 – November 1, 2025
Noida, Uttar Pradesh, India
Itelligence Infotech Pvt. Ltd.
Data Analyst Intern
March 1, 2024 – March 1, 2025
India
HR Analytics Dashboard (Power-BI)
June 1, 2025 – June 1, 2026
Developed an interactive Power BI dashboard analyzing 1,000+ employee records. Tracked key HR metrics including attrition rate, employee demographics, and salary distribution. Created 10+ visualizations using bar charts, pie charts, and slicers for dynamic analysis. Enabled department-wise and gender-based insights to identify high-attrition areas
Cultural Fit Analysis
The candidate's diverse experience, ranging from data analysis internships to LLM evaluation and technical support, indicates adaptability and a willingness to learn new domains. The personal project in HR analytics shows initiative and a practical application of skills. The blend of technical and analytical roles suggests a good fit for a data-driven culture that values continuous learning and problem-solving. However, the short duration of some roles might raise questions about long-term commitment, which could be clarified in an interview.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking and problem-solving skills, which are crucial for a Data Analyst role. Their experience in customer support at Tech Mahindra suggests good communication and relationship-building abilities. The LLM evaluation role indicates attention to detail and quality assurance, which are valuable for data integrity. However, the resume lacks explicit examples of teamwork or leadership in data-specific projects, which could be further explored.