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Data Analyst with less than a year in Data Analytics, SQL & Python, focused on deriving actionable b
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MCA Graduate (2025) with strong expertise in data analytics, SQL, Python, Advanced Excel, and Power BI. Solved 200+ SQL challenges on DataLemur, demonstrating strong database querying, data analysis, and problem-solving skills. Proficient in statistical analysis, business problem-solving, and object-oriented programming (OOP) with a passion for transforming complex data into actionable business insights and supporting data-driven decision-making.
GH Raisoni College of Engineering and Management, Nagpur
Master of Computer Applications (MCA)
August 1, 2023 – June 1, 2025
Dhote Bandhu Science College, Gondia
Bachelor of Computer Applications (BCA)
June 1, 2020 – May 1, 2023
Asterisc Technocrat Pvt. Ltd.
Full Stack Developer
December 1, 2024 – June 1, 2025
India
Healthcare Data Analysis and Predictive Modeling
January 1, 2026 – June 11, 2026
Analyzed 50,000+ patient records using Exploratory Data Analysis (EDA) to identify disease trends, risk factors, and healthcare patterns. Applied statistical techniques including correlation analysis, hypothesis testing, and regression models to validate healthcare insights. Built predictive machine learning models to estimate disease outcomes and evaluated performance using Accuracy, Precision, Recall, and F1-Score metrics. Developed interactive visualizations and dashboards to transform complex healthcare data into actionable business insights.
View ProjectCredit Card Transaction Analysis
January 1, 2026 – June 11, 2026
Analyzed 26K+ transaction records across 986 cities to uncover customer spending behavior and transaction trends. Leveraged SQL Window Functions and CTEs to identify growth patterns, top-performing segments, and spending anomalies. Generated Month-over-Month (MoM) growth insights, customer segmentation, and transaction efficiency metrics to support business decision-making.
Vendor Performance Analysis – Retail Inventory & Sales
January 1, 2025 – December 31, 2025
Developed and optimized SQL ETL pipelines to consolidate data from multiple sources into an aggregated analytical dataset. Improved query performance using CTEs, joins, and data filtering techniques, significantly reducing processing time on large datasets. Performed EDA and Hypothesis Testing to evaluate vendor profitability, pricing effectiveness, and inventory turnover trends. Identified 65.7% purchase concentration among top vendors and uncovered $2.71M in unsold inventory, recommending diversification and inventory optimization strategies.
IBM Data Analyst Professional Certificate
IBM
June 11, 2026 – Present
Deloitte Data Analytics Job Simulation
Forage
January 1, 2025 – Present
Python State Level Quiz Competition
Kamla Nehru College, Nagpur
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis techniques across diverse domains (healthcare, finance, retail). The certifications, especially the IBM Data Analyst Professional Certificate and Deloitte Data Analytics Job Simulation, indicate a strong commitment to a career in data analytics and continuous learning. The brief full-stack developer experience, while not directly data analysis, shows a breadth of technical exposure. The candidate appears to be a self-starter with a clear career trajectory towards data analysis, which aligns well with a culture that values continuous improvement and practical application of skills.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate complex data into actionable business insights, suggesting good analytical thinking and problem-solving skills. The experience as a Full Stack Developer, while not directly aligned with a Data Analyst role, shows versatility and a structured approach to development, which can be beneficial in data engineering aspects. However, without specific psychometric or English test results, a comprehensive assessment of communication, teamwork, and stress handling is not possible.