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Data Analyst with less than a year in Data Manipulation & Visualization
Passionate and highly motivated Data Analyst Fresher with a strong analytical mindset and hands on experience in data manipulation, visualization, reporting, and business intelligence. Proficient in SQL, Python, Power BI, Excel, and statistical analysis techniques, with the ability to collect, clean, analyze, and interpret complex datasets to uncover actionable insights. Skilled in creating interactive dashboards, KPI tracking, trend analysis, data modeling, and performance reporting to support data driven decision making. Possesses a solid understanding of data analytics methodologies, predictive analysis, and problem-solving techniques, combined with strong attention to detail and a commitment to data accuracy. Adept at identifying business opportunities, optimizing processes, and translating technical findings into clear, stakeholder friendly recommendations. A quick learner with excellent communication and collaboration skills, eager to leverage technical expertise, analytical thinking, and business acumen to deliver measurable value and contribute to organizational growth in a dynamic and innovative environment.
Kannur University
BSc in Statistics · Statistics
January 1, 2021 – January 1, 2024
Luminar Technolab
Data Analyst
June 1, 2024 – April 1, 2025
Cochin, Kerala, India
HR Attrition Root Cause Analysis Dashboard
June 23, 2026 – Present
Performed root cause analysis on a 1,470-employee dataset using SQL for data aggregation and Excel for advanced segmentation to identify primary drivers of a 16.1% attrition rate. Quantified and diagnosed key retention risks, discovering that employees working OverTime (30.6% attrition rate) and those new to their role (29.9% rate) were the most vulnerable groups. Developed a comprehensive, diagnostic Power BI dashboard featuring 6 key charts (including a matrix and grouped columns), 4 slicers, and 6 attrition-focused DAX KPIs (e.g. Average Tenure of Leavers). Translated complex findings into actionable business solutions, presenting recommendations focused on workload management, onboarding reform, and manager training to address the identified root causes.
Hospital Waiting List Analysis (Power BI Dashboard Project)
June 23, 2026 – Present
Built an interactive Power BI dashboard to analyze healthcare waitlist data (2018-2021) across Inpatients, Outpatients, and Day Cases. Designed visual breakdowns by specialty, patient type, and age group, enabling detailed analysis of wait times and capacity gaps. Applied DAX to calculate KPIs like average vs. median wait times, helping to account for outliers and spot high-delay categories. Delivered insights such as a 72% outpatient majority and growth from 640K to 709K patients in one year, supporting targeted staffing and scheduling recommendations.
Predicting Hazardous Near-Earth Objects (Asteroid Impact Prediction – Machine Learning)
June 23, 2026 – Present
Conducted exploratory data analysis (EDA) to uncover patterns in object size, distance, and velocity using Matplotlib and Seaborn for detailed visualizations. Analyzed feature distributions, correlations, and relationships to identify factors influencing an object's hazardous potential. Applied data preprocessing and feature engineering to enhance the dataset's quality and improve model performance. Built a Random Forest model to classify hazardous Near-Earth Objects and integrated it into an interactive Streamlit web app for real-time prediction.
Data Analytics Job Simulation
Deloitte Australia - Forage
June 1, 2025 – Present
Data Visualisation: Empowering Business with Effective Insights
Tata Group - Forage
March 1, 2025 – Present
Google Data Analytics Professional Certificate
September 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of data analysis skills across HR, healthcare, and scientific prediction, indicating adaptability and a broad interest in different domains. The certifications from Google, Tata Group, and Deloitte suggest an eagerness to learn from various industry leaders and align with professional development. The candidate's stated passion for data analysis and commitment to delivering measurable value aligns well with a results-oriented culture.
Soft Skills & Operational Fit
The candidate's resume highlights strong analytical mindset, problem-solving techniques, attention to detail, and commitment to data accuracy. The project descriptions indicate an ability to translate complex findings into actionable business solutions and present recommendations, suggesting good communication and collaboration skills. The candidate also mentions being a quick learner, which is beneficial for operational fit in a dynamic environment.