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Data Science with 5+ years in Data Analysis & Machine Learning
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Result-oriented Data Analyst with 5+ years of experience in data analysis. Proven expertise in statistical analysis, predictive modeling, and the development of scalable ML applications. Skilled in collecting and integrating data from diverse sources, model optimization, and delivering actionable insights to support strategic decision-making. Adept at leading cross-functional projects and designing data-driven solutions to meet evolving business and technological needs.
Shivaji University, Kolhapur
M. Sc · Statistics
August 1, 2017 – June 30, 2018
Shivaji University, Kolhapur
B. Sc · Statistics
August 1, 2014 – June 30, 2015
MSBSHSE
HSC
June 1, 2011 – May 31, 2012
MSBSHSE
SSC
June 1, 2009 – May 31, 2010
Heath Department ZP Satara
Monitoring Evaluation Statisical officer - Data Analyst
June 1, 2020 – June 1, 2025
India
Statistical Analysis of Kavitsu Group of Industries in MIDC Satara.
January 1, 2018 – January 1, 2018
A Project Report on "Statistical Analysis of Kavitsu Group of Industries in MIDC Satara." for academic curriculum of M.Sc.II (Sem IV). Graphical Representation, Pareto analysis, Cluster Analysis, Time Series Analysis
Developing Prediction Model Of Loan Risk In Banks Using Data Mining Methods
January 1, 2018 – January 1, 2018
Graphical Representation, Classifiers- KNN, Naïve Bayes, ANN, SVM, Random forest, Logistic Regression classifier, 10 fold cross validation technique
A case study on Students View towards Politics
January 1, 2017 – January 1, 2017
"A case study on Students View towards Politics" for academic curriculum of M.Sc(Sem III). Graphical representation, Binary Logistic Regression, Testing of Hypothesis
Statistical Study of Dependency of Success on Marks
January 1, 2015 – January 1, 2015
A Project Report on "Statistical Study of Dependency of Success on Marks" for academic curriculum of B.Sc. III.
Certificate Course in "R-Software"
Yashwantrao Chavan Institute of Science, Satara
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects are diverse within the field of statistics, covering areas like industrial analysis, loan risk prediction, social studies, and educational dependency. The professional experience as a 'Monitoring Evaluation Statistical officer - Data Analyst' aligns well with a Data Science target role, demonstrating practical application of statistical and machine learning techniques. The breadth of skills listed (Python, R, MINITAB, MATLAB, SPSS, various statistical and data mining methods) indicates a willingness to learn and apply different tools and techniques, which is positive for cultural fit in an evolving data science environment.
Soft Skills & Operational Fit
The candidate's experience description highlights effective communication of complex technical results to non-technical stakeholders, which is crucial for operational fit in data-driven organizations. The project descriptions, while academic, indicate an ability to structure and present analytical findings. The professional experience also suggests a methodical approach to data analysis and model development.