Data Analyst, Data Scientist , Risk Analyst
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Final-year Integrated M.Sc. Statistics student at Pondicherry University, strongly inclined toward data-driven roles such as Data Analyst and Data Associate. Proficient in R, Python, SQL, and Excel, with practical experience in data analysis, statistical modelling, visualization, and exploratory data insights.
Currently seeking a full-time academic internship (January–April) in Data Analytics / Business Analytics / Statistical Analysis / Junior Data Analyst, where I can apply my analytical skills, contribute to real-world projects, and continue growing as an emerging data professional.
I am a data-driven Statistics postgraduate (Integrated M.Sc. Statistics, Pondicherry University) with hands-on experience in data analysis, exploratory data analysis (EDA), data cleaning, visualization, Markov Chains, Hidden Markov Models, and regression techniques. I have completed multiple academic and applied projects using R, Python, SQL, and Excel, including a full project on Paddy Yield Prediction using Stochastic Processes and an internship project analyzing physiotherapy treatment outcomes.
I have practical experience working with real datasets, identifying patterns, handling outliers, building statistical models, and presenting insights through reports and visualizations. I have also collaborated with physiotherapy institutions for data-driven research and created detailed academic reports of 30–50 pages explaining statistical methodologies and results.
Along with strong analytical skills, I have industry-relevant abilities in problem-solving, documentation, teamwork, and clear communication, making me well-prepared for data analyst and data science–related internship roles.
I am currently pursuing an Integrated M.Sc. in Statistics at Pondicherry University, where I have gained strong theoretical and practical knowledge in Probability, Statistical Inference, Stochastic Processes, Regression Analysis, Sampling Theory, Time Series, and Data Analytics. My coursework is supported by hands-on projects using R, Python, SQL, and Excel, applying statistical methods to real-world datasets in agriculture, physiotherapy, and exploratory data analysis. I have also completed all 8 levels of Hindi proficiency exams (Prathmik to Praveen Uttarardh).