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Data Analyst with less than a year in Python, SQL, and Power BI for data transformation and visualiz
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 and motivated Data Analytics enthusiast with an M.Sc. in Mathematics and hands-on experience gained through a comprehensive Data Science training program. Skilled in Python, SQL, Exploratory Data Analysis (EDA), Power BI and data visualization. Passionate about transforming data into actionable insights to support data-driven decision-making. Eager to apply analytical skills and continuously learn in a professional environment.
Mahatma Gandhi University, Kerala
MSc Mathematics · Mathematics
August 1, 2016 – June 30, 2018
Global Student's Social Media Addiction Analysis
June 1, 2026 – Present
• Social media usage data from 705 students across 110 countries to identify trends affecting academic performance and well-being. • Performed data transformation and designed a star schema data model for effective reporting. • Developed interactive Power BI dashboards using DAX to visualize addiction scores, usage patterns, and platform trends. • Generated actionable insights to support data-driven understanding of social media usage behaviors.
Drought Prediction System
June 1, 2026 – Present
• Analyzed global climate datasets to identify patterns and factors associated with drought occurrences. • Performed data preprocessing, exploratory data analysis, model training, and evaluation using Scikit-learn. • Built and evaluated machine learning models to predict drought occurrences based on historical climate data. Integrated a Streamlit interface for real-time drought prediction.
Data Science - Python Training Program
Luminar Technolab
July 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in diverse applications of data analysis (social media, climate prediction), suggesting adaptability. The pursuit of a Data Science training program after an MSc in Mathematics indicates a proactive learning attitude. The listed soft skills align with a collaborative and detail-oriented work environment. However, the lack of professional experience makes it difficult to fully assess cultural fit in a corporate setting.
Soft Skills & Operational Fit
The candidate lists Analytical Thinking, Problem Solving, Attention to Detail, and Team Collaboration as soft skills. These are highly relevant for a Data Analyst role. The project descriptions indicate an ability to work through complex datasets and present findings, which aligns with operational requirements. However, without specific behavioral assessment data, the depth of these soft skills cannot be fully validated.