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Data Analyst with less than a year in SQL, Python, PySpark, and Cloud-based analytics.
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 Analyst with hands-on experience in SQL, Python, PySpark, Excel, and Microsoft Azure. Skilled in data analysis, queries optimization and cloud-based analytics. Focused on delivering accurate insights, optimized data processes, and scalable data solutions.
Sir M Visvesvaraya Institute of Technology, Bengaluru (VTU)
B.E. · Civil Engineering
N/A – Present
K. R. Bose Smarak College, Muzaffarpur
BSEB (Equivalent to 12th Grade)
N/A – Present
ST. Xavier's Jr/Sr School, Muzaffarpur
CBSE (Equivalent to 10th Grade)
N/A – Present
Healthcare Data Warehouse & Operational Analytics
June 24, 2026 – Present
Architected an end-to-end ELT pipeline utilizing a 3-tier Medallion Architecture (Bronze-Silver-Gold) within SSMS to ingest, process, and model 10k+unstructured transaction logs. Formulated standardizes database views applying logical string functions and deterministic type casting, successfully decomposing a flat schema into an optimized Star Schema with normalized Fact and Dimension tables. Executed advanced analytical queries leveraging window functions, CTEs, and temporal functions to compute business-critical operational metrices like patient Length of stay (LOS).
Bike-Sharing Traffic & Demand Analysis
June 24, 2026 – Present
Conducted Exploratory Data Analysis (EDA) on a large transactional dataset using SQL queries, date functions, and conditional logic to identify peak rental hours and traffic patterns. Modeled transactional metrices to track station demand and inventory fluctuations across different periods. Generated optimized analytical queries and data reports to identify underutilized assets, providing actionable insights to help improve fleet distribution efficiency by 15%.
Intensive Industry Program in Data Science
ConsoleFlare
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical data solutions and business impact, which aligns with a results-oriented culture. The diverse interests (chess coach, numerologist) suggest a curious and analytical mindset. The certification in Data Science indicates a commitment to continuous learning. The candidate's background in Civil Engineering, while not directly related, shows a foundational analytical aptitude. The projects are relevant to the target role of Data Analyst, indicating good role alignment.
Soft Skills & Operational Fit
The candidate lists problem-solving, teamwork, adaptability, and pressure-handling as soft skills. The project descriptions indicate an ability to work on complex data problems and deliver actionable insights, which aligns with operational needs. The chess coaching and numerology interests suggest strong logical reasoning and pattern recognition abilities, which are valuable for a Data Analyst role.