Data Analyst with less than a year in ETL automation, Power BI, and machine learning for business in
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Data Analyst who builds the full pipeline end-to-end from SQL/MongoDB queries and Python ETL automation to Power BI dashboards that product, sales, and business teams actually use to make decisions. Comfortable owning ambiguous data requests, automating recurring reporting workflows, and surfacing the trends and anomalies hiding in 50,000+ record datasets turning raw data into systems that keep running with minimal hand-holding.
Vishwaniketan's iMEET, Mumbai University
Bachelor of Engineering · Computer Science (AI & ML)
August 1, 2022 – June 30, 2026
Sunitiq
Machine Learning Intern
April 1, 2026 – Present
India
InternHack
Data Analytics Intern
January 1, 2026 – May 1, 2026
India
Healthcare Operations Performance Analysis
June 1, 2026 – Present
Consolidated 50,000+ records from multiple sources using SQL, designing and running validation checks to ensure completeness and consistency before any dashboard was built. Built executive KPI dashboards in Power BI with automated refreshes, cutting recurring reporting time by 60% and giving leadership real-time visibility into operational metrics. Investigated bottlenecks and resource utilization gaps through EDA, translating findings into clear recommendations that informed capacity planning decisions.
View ProjectAgentic Data Analyst Automated Reporting & Anomaly Detection System
June 1, 2026 – Present
Designed an automated pipeline that ingests raw business data, runs validation and quality checks, flags anomalies, and generates SQL-based KPI dashboards directly mirroring a Data Analyst's workflow of catching issues before they reach stakeholders. Built a full reporting stack (PostgreSQL, DuckDB, Plotly) that converts natural-language business questions into structured dashboards and reports, making operational metrics self-serve for non-technical teams. Implemented automated time-series forecasting (Prophet, ARIMA) and scheduled executive-ready PDF/HTML report generation, removing manual effort from recurring reporting cycles.
View ProjectData Science, ML, Deep Learning & NLP
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong initiative in building end-to-end solutions, from data ingestion and validation to dashboard creation and anomaly detection. This self-starter mentality, combined with experience in automating recurring tasks, aligns well with roles requiring proactive problem-solving and efficiency. The breadth of skills across data analytics, machine learning, and various tools suggests a versatile individual who can adapt to different technical challenges and contribute to diverse projects. The focus on delivering real-time insights and making data self-serve for non-technical teams indicates a user-centric approach.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to work with stakeholders to align data strategy with business decisions and translate findings into clear recommendations, indicating good communication and problem-solving skills. The focus on automating workflows and reducing manual effort suggests a proactive and efficiency-driven approach. The experience in both data analytics and machine learning internships shows adaptability and a willingness to learn diverse technical areas.