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Data Analyst with less than a year in Statistical Analysis & Python
Detail-oriented Applied Statistician with an M.Sc. in Applied Statistics (Data Analytics), specializing in transforming raw industrial and process plant datasets into actionable decision-support insights. Deeply proficient in time-series analysis, statistical process control (SPC), and multivariate anomaly detection. Proven capability in handling complex datasets, engineering predictive models, and analyzing patterns to isolate root causes of performance fluctuations. Eager to leverage strong algorithmic and advanced statistical skills to enhance plant productivity and asset utilization.
Vivekanand College, Kolhapur
M.Sc. in Applied Statistics · Data Analytics
January 1, 2024 – January 1, 2026
Yashwantrao Chavan Mahavidyalaya, Halkarni
B.Sc. in Statistics · Statistics
January 1, 2021 – January 1, 2024
G. M. B. Tupare Jr. College, M. Karve
Higher Secondary Certificate (HSC)
January 1, 2019 – January 1, 2021
LearnNex
Data Science Intern
May 1, 2025 – July 1, 2025
India
Predictive Analytics for Assessing Diabetes Risk Among the Indian Population
June 1, 2026 – Present
Objective: Built an end-to-end predictive framework to assess health patterns and risk factors across a demographic group using complex feature dynamics. Methodology: Handled data pre-processing, data normalization, class imbalance resolution, and out-of-range value detection using boxplot profiling. Engineered a high-performing Hybrid Ensemble Model in Python to establish correlations and diagnostic patterns.
To study effect of sleep on academic performance & health of student
June 1, 2026 – Present
Objective: Designed and executed an end-to-end analytical framework to assess the impact of physiological sleep thresholds on the physical health profiles and academic performance. Methodology: Deployed a Simple Random Sampling Without Replacement (SRSWOR) method to gather primary field survey data from a population of 1,823 individuals. Structured the pipeline in Python and R to perform data cleaning and advanced statistical validation.
Certificate of Excellence in Data Science
Unknown
June 1, 2026 – Present
Certificate of Training Completion in Data Science
Unknown
June 1, 2026 – Present
Data Analysis Using Excel
Unknown
June 1, 2026 – Present
Big Data Analytics
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse applications of data analysis, from health risk assessment to academic performance. The internship at LearnNex, authorized and certified by Wipro DICE ID, suggests exposure to a professional environment. The listed certifications in Data Science, Excel, and Big Data Analytics indicate a proactive approach to skill development. The target role of Data Analyst aligns well with the candidate's educational background and project experience, showing a clear career path. However, the candidate's experience level is entry-level, which might require mentorship within a team.
Soft Skills & Operational Fit
The candidate's resume highlights a detail-oriented approach and a focus on transforming raw data into actionable insights. The project descriptions indicate an ability to design and execute analytical frameworks independently. The internship experience suggests an operational fit for data cleansing and applying ML models. However, without specific soft skill assessments or interview data, a comprehensive evaluation of soft skills like teamwork, problem-solving under pressure, or communication in a professional setting is limited.