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Data Analyst with less than a year in SQL, Python & Cloud Platforms
Results-driven Data Analyst with hands-on experience in SQL, Python, Power BI, Excel, data visualization, dashboard development, KPI reporting, business intelligence, and reporting. Skilled in data cleaning, data validation, data transformation, trend analysis, data modeling, query optimization, and business analytics. Experienced in analyzing structured datasets to generate actionable insights and support data-driven decision-making. Familiar with BigQuery, Google Cloud Platform (GCP), and cloud based analytics solutions. Seeking an entry-level Data Analyst opportunity to deliver business value through analytics and reporting.
Dr. Babasaheb Ambedkar Marathwada University
Bachelor of Computer Science · Computer Science
August 1, 2022 – June 30, 2025
IoT Real-Time Data Analytics Pipeline
January 1, 2024 – December 31, 2025
Designed and implemented a real-time IoT Data Analytics Pipeline on Google Cloud Platform (GCP) to process and analyze sensor data generated from IoT devices. Built an end-to-end architecture where IoT devices generated temperature and humidity sensor data, which was ingested through Cloud Pub/Sub and processed using PySpark, Dataflow, and Dataproc. Developed ETL pipelines for data ingestion, validation, cleaning, transformation, and enrichment to ensure high-quality analytical datasets. Stored processed data in BigQuery and Snowflake to support scalable data warehousing, reporting, and business analytics requirements. Applied data modeling and query optimization techniques to improve analytical performance and reporting efficiency. Analyzed sensor data to identify trends, operational patterns, and key performance indicators (KPIs) for business decision-making. Developed interactive Power BI dashboards and reports to visualize real-time metrics, device performance, and operational insights. Utilized GCP services including Cloud Pub/Sub, Cloud Storage, Dataflow, Dataproc, and BigQuery to build a scalable cloud-based analytics solution. Implemented batch and real-time data processing workflows to support business intelligence and data-driven decision-making.
Healthcare Data Analytics Pipeline
January 1, 2024 – December 31, 2025
Designed and implemented a Healthcare Data Analytics Pipeline to process, transform, and analyze large-scale healthcare datasets for reporting and business intelligence. Developed batch ETL pipelines using PySpark and SQL to ingest healthcare data from multiple sources and perform data transformation workflows. Performed data cleaning, validation, standardization, and enrichment to ensure high-quality analytical datasets. Applied data warehousing and data modeling techniques to organize healthcare data for efficient reporting and analytics. Stored and managed processed datasets in BigQuery to support scalable analytical processing and reporting requirements. Optimized SQL queries and ETL workflows to improve data processing performance and reporting efficiency. Performed trend analysis and KPI reporting to monitor healthcare performance and support operational decision-making. Developed interactive Power BI dashboards and reports to visualize patient trends, healthcare metrics, and organizational performance indicators. Utilized Excel, Power BI, BigQuery, and GCP services to analyze data and generate business insights. Generated actionable insights through data visualization, reporting, and business intelligence techniques to support data-driven decision-making.
Learn Power BI Data Modeling
Unknown
June 1, 2026 – Present
TechA Certified GCP Data Engineer
TechA
June 1, 2026 – Present
Google Cloud Associate Cloud Engineer – Pursuing
Google Cloud
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in data analytics and cloud technologies, aligning well with a data-driven culture. The pursuit of certifications (GCP Data Engineer, Associate Cloud Engineer) shows initiative and a commitment to continuous learning. However, the lack of professional experience and diverse project types beyond academic settings limits the assessment of broader cultural fit and adaptability to different organizational contexts.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-driven approach and an ability to work on complex data analytics problems. The focus on end-to-end pipeline development and actionable insights suggests a practical, problem-solving mindset. However, without direct work experience, it's difficult to assess operational fit in a team environment or under pressure.