Data Analyst with 1+ years in SQL, Python, and 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 Analyst with 1+ years of experience in SQL Queries, Python (Pandas, NumPy), and Power BI. Skilled in Data Analysis across large datasets (500K+ records), Data Cleaning, Dashboard Development, and Data Visualization to deliver Business Insights and support KPI Tracking. Strong background in Statistical Analysis, exploratory analysis, and reporting, with a focus on Data Transformation, problem solving, and cross-functional collaboration for business decisions.
Delhi Technological University
Master's Degree
N/A – June 30, 2026
Shoolini University
Bachelor's Degree
N/A – June 30, 2023
Bihar Chemical Company
Product Analyst Intern
January 1, 2025 – March 1, 2025
India
ITC Limited
Manufacturing Executive
June 1, 2023 – July 1, 2024
India
Aadhaar Data Analysis
June 17, 2026 – Present
Processed and analyzed 500K+ Aadhaar biometric and enrollment records using SQL and Python across 36 states and 943 districts to evaluate authentication trends and demographic adoption patterns. Built state- and district-level analytical models to identify enrollment imbalances and child-adult demographic variation (21.5%-71.2%), enabling detection of underserved regions and policy coverage gaps. Developed concentration and trend analysis workflows that revealed the top 10 states contributed 72.7% of total biometric updates, helping highlight infrastructure disparities and high-dependency regions. Performed month-over-month and policy impact analysis using SQL window functions and temporal feature engineering, uncovering a 24% surge in July 2025 biometric updates following revised Aadhaar documentation policies. Generated operational insights on biometric adoption seasonality, regional participation trends, and high-volume enrollment hotspots to support data-driven planning and resource allocation strategies.
Healthcare Data Analysis (NAFLD) Electronic Health Records (EHR) Analysis
June 17, 2026 – Present
Analyzed 10+ demographic, clinical, and metabolic variables to uncover factors associated with NAFLD progression, helping identify patient groups at elevated fibrosis risk. Applied statistical analysis and cohort-based comparisons across 5 fibrosis stages (F0-F4), revealing strong associations between obesity, glucose dysregulation, liver enzyme levels, and disease severity. Generated actionable insights through correlation and risk-factor analysis, supporting data-driven patient stratification and prioritization of preventive healthcare interventions. Built predictive models using Random Forest, XGBoost, and SVM to validate analytical findings and identify the strongest indicators of fibrosis progression.
IBM Data Analyst Professional Certificate
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from healthcare data analysis to Aadhaar data analysis, indicates adaptability and a broad interest in applying data analysis across different domains. Their experience as a Manufacturing Executive and Product Analyst Intern, coupled with a Master's degree, suggests a commitment to continuous learning and professional development. The focus on data-driven decision-making and process improvement aligns well with a data-centric organizational culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, cross-functional collaboration, and a focus on delivering business insights. Their experience in maintaining KPI dashboards and improving data quality suggests an operational fit for roles requiring meticulous data management and reporting. The ability to present insights to stakeholders is also a valuable soft skill.