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Data Analyst with 1+ years in SQL, Python & Power BI for data-driven insights.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with hands-on experience in building interactive dashboards, fraud detection models, and data-driven performance analytics. Proficient in SQL, Python, Power BI, and Tableau with proven ability to translate 10,000+ row datasets into actionable business insights. Strong foundation in statistical analysis and machine learning with a focus on KPI optimization and operational efficiency.
SINHGAD COLLEGE OF ENGINEERING
Bachelor of Technology · Computer Science
February 1, 2021 – June 1, 2025
KAMJRITZTEX IT SOLUTIONS
INTERN
June 1, 2025 – December 1, 2025
India
Hospital Appointment No-Show Prediction & Analysis
February 1, 2026 – March 1, 2026
• Built a data science pipeline to analyze and predict hospital appointment no-shows by processing 110,000+ patient appointment records using SQL for data extraction and Python for exploratory data analysis. • Performed data preprocessing and feature engineering, creating variables such as wait time, age groups, appointment weekday, and patient risk segments to identify patterns influencing appointment attendance. • Conducted statistical and exploratory analysis to measure no-show behavior across demographics, waiting time, SMS reminders, and neighborhood factors, identifying high-risk segments such as young adults waiting more than 30 days. • Developed interactive Power BI dashboards to visualize predictive insights, patient risk segments, and operational KPIs, helping healthcare administrators design targeted interventions to reduce appointment no-shows.
Banking Transaction Fraud Detection Analytics
January 1, 2026 – February 1, 2026
• Analyzed and processed 10,000+ banking transactions using SQL and Python, performing exploratory data analysis (EDA) to uncover fraud patterns, anomaly clusters, and high-risk behavioral trend. • Designed and implemented rule-based fraud detection algorithms by defining risk thresholds and business rules, achieving 45% classification accuracy and reducing false positives by 18%. • Established and monitored critical fraud detection KPIs including Fraud Rate, False Positive Rate, and Transaction Risk Score to evaluate model performance and support risk mitigation strategies. • Developed interactive Power BI dashboards and optimized SQL queries (CTEs, indexing), improving data processing efficiency and dashboard performance by 30%.
View ProjectNetflix Content & User Insights Analysis
November 1, 2025 – December 1, 2025
• Explored streaming dataset using SQL and Python to uncover trends in viewer preferences, genres, and content distribution. • Segmented movies and shows by genre, release year, and ratings to identify high-performing content and audience interests. • Evaluated key metrics such as Watch Time, Engagement Rate, and Content Popularity to assess user behavior & platform performance. • Built interactive Power BI dashboards and improved query efficiency to visualize insights and support data-driven content strategies.
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like banking, healthcare, and entertainment, showcasing adaptability and a broad interest in applying data analysis to different industries. The listed skills are highly relevant to a Data Analyst role, indicating a focused career path. The blend of technical and analytical skills suggests a good fit for data-driven team environments.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate complex data into actionable insights, which is crucial for a Data Analyst role. The internship experience shows an understanding of backend systems and performance optimization, suggesting a practical, problem-solving approach. The focus on reducing manual effort and improving efficiency aligns with operational effectiveness.