Kumarsanjay Bhorekar

As a highly skilled and analytical professional with a strong foundation in statistics, data science, and machine learning, I aim to leverage my expertise in data analysis, visualization, and predictive modelling to drive impactful decision-making. I am passionate about contributing to innovative research projects and fostering an environment of learning and growth in academia. I seek to continuously apply my technical and leadership skills to advance business analytics, data science and data-driven strategies in a dynamic organization or academic institution

A highly skilled and analytical professional with expertise in data science, business analytics, machine learning, and statistics. Experienced in academia, research, and industry, with a strong foundation in data analysis, visualization, and predictive modeling. Adept at handling large datasets, statistical analysis, hypothesis testing, and business intelligence tools like Tableau, Power BI, R, and Python.
 

Key Expertise:

• Data Science & Analytics: Machine learning, statistical modeling, hypothesis testing, time series analysis.
• Business Intelligence: Data visualization and reporting using Power BI and Tableau.
• Research & Publications: Significant contributions to healthcare and economic research, with multiple journal publications and patents.
• Academic Leadership: Curriculum development, faculty development programs, student mentoring, and research guidance.

Professional Experience:

• Assistant Professor - Business Analytics, Pune Institute of Business Management (2023 - Present):
  • Designed and developed business analytics curriculum.
  • Conducted faculty training and student mentorship in analytics and research projects.
  • Led training programs on Power BI and business analytics.
• Assistant Professor - Data Science, Symbiosis Skills and Professional University (2019 - 2022):
  • Led PG Diploma in Data Science & AI and CSR-funded programs in collaboration with JP Morgan.
  • Served as Board of Studies (BOS) member and academic coordinator.
• Technical Assistant (Statistician), ICMR - NIRRH (2016 - 2018):
  • Led statistical analysis for government-funded healthcare research projects.
  • Worked on predictive modeling using R, SPSS, and Minitab.
• Previous Roles in Academia & Industry (2012 - 2016):
  • Statistics instructor and online tutor for global students.

Research & Patents:

• Published multiple research papers on data analytics, healthcare, and business intelligence.
• Patents: Developed innovations in anti-theft drug security, tracheostomy devices, and wearable electro-acupuncture for COVID treatment.

• Master of Science (M.Sc.) in Statistics, Pune University – Strong foundation in statistical modeling, hypothesis testing, and data analysis.
• Bachelor of Science (B.Sc.) in Statistics, Pune University – Core expertise in data analytics and quantitative methods.
• Certifications:
  • Data Science with Python and R, ETLHIVE, Pune – Advanced skills in machine learning, predictive modeling, and data visualization.
  • Financial Risk Management, Great Learning – Expertise in risk assessment and financial analytics.