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Data Science with less than a year in Statistical Analysis, Python & Power BI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analytics professional with strong foundations in Statistical Analysis, SQL, Python, Excel, and Power BI. Skilled in data cleaning, exploratory data analysis, dashboard development, and business reporting to support data-driven decision-making.
MIT- World Peace University
Masters of Science · Statistics
August 1, 2024 – June 30, 2026
Y. C. I. S, Satara
Bachelor of Science · Statistics
August 1, 2021 – June 30, 2024
Customer Behaviour Analysis
June 1, 2026 – Present
Analysed 3,900 customer transactions using SQL and EDA to uncover customer and revenue trends. Built a Power BI dashboard tracking 10+ KPIs for customer and product performance analysis. Delivered actionable insights to support business decisions and improve performance monitoring.
Prediction of Nutritional Deficiency in Children
June 1, 2026 – Present
Analysed nutritional and demographic data using EDA to identify key deficiency risk factors in children. Developed and evaluated classification models to support early risk identification and predictive analysis. Delivered actionable insights to support evidence-based nutrition and healthcare decisions.
Regional Sales Analysis
June 1, 2026 – Present
Analysed 5 years of sales data using EDA to uncover regional trends and key profitability drivers. Built a Power BI dashboard to monitor revenue, profit margins, and order volume across regions. Identified seasonal demand patterns and growth opportunities to support business decisions.
Power BI for Data Analysis
Microsoft Learn
June 1, 2026 – Present
Data Analytics Bootcamp Certification
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Statistics and multiple data analysis projects demonstrate a strong interest and foundational alignment with data-driven roles. The certifications further indicate a proactive approach to skill development. However, the lack of diverse project types (all academic) and limited real-world experience might suggest a need for more exposure to different industry contexts and team dynamics for a senior role.
Soft Skills & Operational Fit
The candidate's leadership experience as a Student Placement Representative suggests good organizational and communication skills, which are beneficial for team collaboration and project management in a data science role. The project descriptions indicate an ability to translate data into business insights.