Data Analyst with less than a year in Python & Power BI for data analytics and dashboarding.
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 MCA graduate with hands-on experience in data analysis, data validation, MS Excel (Pivot Tables, VLOOKUP, Charts), and reporting. Skilled in collecting and transforming data from multiple sources, identifying discrepancies, and communicating findings to stakeholders and leadership teams. Experienced in building dashboards, supporting process improvement initiatives, and collaborating with cross-functional teams. Proficient in Python (Pandas, NumPy), SQL, Power BI, and Google Sheets. Strong analytical, logical reasoning, and communication skills with a proven ability to ensure data accuracy, consistency, and confidentiality.
Chinmaya Institute of Technology
Master of Computer Applications (MCA)
August 1, 2023 – June 30, 2025
College of Applied Science Thamarassery
Bachelor of Computer Science
August 1, 2020 – June 30, 2023
Actionfi Technologies
AI and Automation Intern
March 1, 2025 – June 1, 2025
Kozhikode, Kerala, India
Subscription Churn & Revenue Forecasting Dashboard
June 1, 2025 – Present
• Collected and validated subscriber data from multiple sources; identified data discrepancies and performed thorough data cleaning and transformation using Python (Pandas, NumPy) and SQL. • Maintained and updated Excel-based reports and built a Power BI dashboard tracking MRR growth ($7K → $42K), churn rate (65.30%), and cohort retention KPIs, enabling leadership to monitor business performance. • Prepared summaries and analytical reports presenting complex findings in clear, non-technical language for senior stakeholders and leadership teams. • Documented data governance practices and ensured accuracy and consistency of data across all reporting outputs.
HR Analytics Dashboard – Workforce Insights
June 1, 2025 – Present
• Collaborated with HR stakeholders to gather requirements; collected, validated, and analysed workforce data (attrition, retention, workforce composition) across multiple data sources. • Maintained Excel-based reports and delivered a KPI dashboard suite identifying a 16.12% attrition rate, enabling data-driven retention recommendations presented to executives. • Automated data preprocessing and reporting pipelines using Python (Pandas, NumPy), reducing manual effort and improving data quality and efficiency. • Coordinated with team members throughout the project lifecycle, ensuring timely completion and adherence to quality and compliance standards.
Google Data Analytics Professional Certificate
Coursera
January 1, 2026 – January 1, 2026
Cultural Fit Analysis
The candidate's projects demonstrate a practical, results-oriented approach to data analysis, aligning with roles that require actionable insights. Their experience in both subscription churn and HR analytics shows versatility. The pursuit of a Master's degree and a Google Data Analytics Professional Certificate indicates a commitment to continuous learning and professional development, which is a positive cultural fit indicator. However, the limited professional experience (internship only) suggests a need for mentorship and structured environments.
Soft Skills & Operational Fit
The candidate demonstrates good communication skills through their project descriptions, emphasizing presenting findings in non-technical language. Their experience in collaborating with HR stakeholders and coordinating with team members suggests a capacity for teamwork and operational fit. The focus on data governance and accuracy indicates attention to detail and reliability.