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Josemon Joy

Data Analyst/Statistical Analyst/Business Analyst

About Josemon

I am a Mathematics graduate and Postgraduate in Economics, UGC-NET qualified, with over seven years of academic experience in Econometrics and quantitative analysis. My background has equipped me with strong analytical thinking, statistical modeling expertise, and structured problem-solving skills.

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Over the past few years, I have transitioned into Data Science and Business Analytics, gaining hands-on experience in time series, cross-sectional, and panel data modeling using Python and Gretl. I am proficient in SQL, Advanced Excel, Tableau, and Power BI, and have worked on projects involving credit risk analysis, lead scoring, and business-focused exploratory data analysis.

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I specialize in transforming complex datasets into clear, actionable insights and presenting them in a way that supports data-driven decision-making across business teams.

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Skills

data visualisation
Excel
Gretl
Power BI
Predictive Modelling
Python
SQL
Statistical Analysis
Tableau

Education & Training

2007-10

B.Sc. Mathematics

St.Thomas College, Pala

Completed undergraduate studies in Mathematics with strong foundations in calculus, algebra, statistics, and analytical problem-solving. This program developed my quantitative reasoning and logical thinking, forming the base for my later specialization in Economics, Econometrics, and Data Analytics.

2014-16

MA Economics

St. Thomas College, Pala

Completed postgraduate studies in Economics with a strong focus on Econometrics and quantitative analysis. During this period, I cleared the UGC NET, qualifying for Assistant Professorship in colleges. My academic journey later deepened my interest in applied econometrics and data-driven research, leading me to work with tools such as Gretl, Python, and Excel for statistical modeling and data analysis.

Lecturer in Econometrics

NA

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