About
M.S. Applied Data Science graduate from San José State University and Computer Engineering graduate with experience across analytics, BI, data engineering, backend systems, and AI/ML applications. My work focuses on using Python, SQL, AWS, machine learning, and visualization tools to turn messy operational data into reliable pipelines, dashboards, and decision-ready insights. I’m drawn to work that connects data quality, technical execution, and business impact. Building analytics-ready datasets, defining useful KPIs, creating dashboards for stakeholders, improving reporting consistency, and applying AI/ML where it can strengthen analysis or automation. Across roles and projects, I’ve worked on ETL pipelines, Redshift/dbt data models, Airflow workflows, BI dashboards, microservices, event-driven systems, RAG applications, and LLM-based tools. Core skills include data analytics, business intelligence, data engineering, applied data science, machine learning, statistical analysis, forecasting, dashboarding, data modeling, backend development, API development, and AI/ML application development. Tools include Python, SQL, PySpark, AWS, Airflow, dbt, Redshift, Athena, Tableau, Power BI, QuickSight, PostgreSQL, MongoDB, Redis, Kafka, FastAPI, Django, PyTorch, scikit-learn, LangChain, and Docker. Open to entry-level and new grad opportunities in data analytics, business intelligence, data engineering, software engineering, applied data science, AI/ML engineering, and business-facing analytical roles.
Work experience
Graduate Research Assistant at San José State University, Aug 2025 - May 2026 · 10 mos, San Jose, California, United States
Data Analyst at Bharat Auto (Spinny), Feb 2023 - Jun 2024 · 1 yr 5 mos, Pune City, Maharashtra, India
Software Engineer at Oasis Infobyte, Apr 2022 - Feb 2023 · 11 mos, New Delhi, Delhi, India
