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Power BI Developer with less than a year in data analysis, dashboard development and statistical mod
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Aspiring Data Analyst with 6 months of hands-on industry experience in data analysis, dashboard development, and statistical modeling. Holds an M.Sc. in Statistics from the University of Mumbai with a strong foundation in statistical techniques and data-driven problem solving. Proficient in Python, R, SQL, and Power BI with expertise in EDA, data visualization, and machine learning. Experienced in building automated dashboards, optimizing data workflows, and delivering actionable insights to support business decision-making.
University of Mumbai
M.Sc. Statistics · Statistics
August 1, 2023 – June 30, 2025
University of Mumbai
B.Sc. Statistics · Statistics
August 1, 2020 – June 30, 2023
Maharashtra State Board
HSC
N/A – May 31, 2020
Maharashtra State Board
SSC
N/A – May 31, 2018
Yoda Tech
Power BI Engineer
December 1, 2025 – March 1, 2026
Mumbai, Maharashtra, India
Softmate Systems
Junior Business Analyst
September 1, 2025 – November 1, 2025
Mumbai, Maharashtra, India
Directorate of Economics & Statistics
On Job Training
May 1, 2024 – June 1, 2024
Mumbai, Maharashtra, India
Research Project: Future of Gig Workers in Mumbai
June 24, 2026 – Present
Conducted a structured survey of 384 gig workers using network sampling and built a clean dataset. Performed EDA and developed ML models in R (Decision Tree, Multinomial Logistic Regression) to identify key drivers of gig-work adoption. Automated analysis with R scripts (40% time saved) and delivered insights supporting policy recommendations for worker welfare and job security. Generated insights to support policy recommendations on worker welfare.
Customer churn prediction using Python
June 24, 2026 – Present
Built a predictive model using Python to identify customer churn. Performed data cleaning and preprocessing using Pandas and NumPy. Conducted exploratory data analysis and visualized key trends using Matplotlib. Trained and evaluated a Logistic Regression model to predict customer behavior. Improved understanding of customer retention patterns through data insights.
R Programming for Statistical Computing
Unknown
June 1, 2026 – Present
Introduction to Data Science in Python
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in statistics, coupled with practical experience in data analysis and dashboard development, suggests a strong analytical mindset. Their involvement in academic research projects and internships indicates a proactive learning attitude and a willingness to apply theoretical knowledge to real-world problems. The diversity of projects (security dashboards, ITSM, churn prediction, gig worker research) shows adaptability and a broad interest in data applications.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, critical thinking, communication, and collaboration skills through project descriptions involving client interaction, requirements gathering, and delivering insights. Their experience in automating tasks and streamlining data processing indicates an operational fit for roles requiring efficiency and process improvement.