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Data Analyst with less than a year in data analysis.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with a strong foundation in statistical analysis and data-driven problem solving. Proficient in Python, R, and SQL, and Excel. Experienced in data cleaning, ETL workflows, exploratory data analysis, time series analysis, and transforming complex datasets into actionable business insights. Seeking opportunities to apply analytical skills in real-world business contexts.
Vellore Institute of Technology, Vellore
Integrated MSc · Computational Statistics and Data Analytics
August 1, 2022 – June 30, 2027
St Mary's Higher Secondary School, Kollam, Kerala
Higher Secondary Education
June 1, 2020 – May 31, 2022
St Ann's Central School, Kollam, Kerala
Secondary Education
June 1, 2019 – May 31, 2020
Indian Institute Of Technology (IIT) Tirupati
Research Intern
May 1, 2026 – Present
India
State Academy of Statistical Administration, Gvt. of Kerala
Intern
May 1, 2025 – July 31, 2025
India
Smart DSS for Cancer Diagnosis and Prognosis
June 1, 2026 – Present
Built a data-driven DSS to analyse multi-type patient datasets. Performed data cleaning, feature evaluation, and risk assessment workflows. Supported early prediction using structured pipelines and model-based insights.
AI and ML Integrated Statistical Analysis of Infectious and Parasitic Diseases – Research Project
June 1, 2026 – Present
Performed data preprocessing, analysis, and visualization on Kerala MCCD healthcare data to identify disease trends and support data-driven insights. Built and evaluated AI/ML models for infectious disease prediction and forecasting using Bayesian Modeling, GNNs, and Temporal Fusion Transformers (TFT).
Risk Prediction and Policy Insights on Road Traffic Accident Mortality
June 1, 2026 – Present
Processed large spatial-temporal datasets using Python and preprocessing workflows. Built a CNN-LSTM model and handled data imbalance to improve prediction accuracy. Used Explainable AI to extract key factors and support data-driven insights.
Statistics for Data Science using R
VIT, Vellore
June 1, 2026 – Present
Conservation Economics
NPTEL
June 1, 2026 – Present
Data Science
Internshala
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Computational Statistics and Data Analytics, coupled with diverse academic projects involving healthcare, road traffic, and climate data, indicates a strong interest in applying data analysis to various real-world problems. The internships with a government statistical administration and a research institute show an inclination towards structured data environments and research-oriented tasks. The breadth of skills (Python, R, SQL, Excel, Power BI, various ML models) suggests adaptability and a willingness to learn, contributing positively to cultural fit within a data-intensive team. However, the focus is heavily academic, and exposure to commercial or fast-paced industry environments is limited.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, team collaboration, time management, and task prioritization skills. The academic projects and internships indicate an ability to work with complex datasets and contribute to data-driven insights, which aligns with operational requirements for a Data Analyst role. However, the English test score suggests potential areas for improvement in communication clarity, which is crucial for operational fit.