Shivam Shukla
@shivamshukla2
Data analyst skilled in SQL, Power BI, Excel, and Python-driven insights.
What I'm looking for
I am a data-driven analyst with hands-on experience translating sales and operations data into actionable insights for fast-growing companies. I combine SQL, Excel, Power BI and Python to build dashboards, automate reporting, and identify performance improvements.
At PhysicsWallah I interpreted multi-region sales data to optimize product performance and built Power BI dashboards used by regional managers for real-time decisions. I automated reporting workflows with Power Query, cutting manual effort by 40%.
Currently at Spinny, I examine post-sales car leads and maintain advanced Excel dashboards to surface operational bottlenecks and improve efficiency, collaborating closely with sales, customer success and operations teams.
I have built production-ready projects including a real-time Weather & AQI dashboard, a Coffee Sales analysis pipeline, and a Streamlit ML app predicting carbon footprint, demonstrating my ability to deliver end-to-end data solutions and improve product and operational outcomes.
Experience
Work history, roles, and key accomplishments
Operations Analyst
Spinny
Aug 2025 - Present (4 months)
Examined and managed post-sales car leads data to identify operational bottlenecks and improve efficiency; engineered and maintained advanced Excel dashboards to track KPIs and partnered with sales, customer success, and operations to streamline workflows.
Trainee Analyst
PhysicsWallah
Nov 2024 - Jun 2025 (7 months)
Interpreted sales data across 5+ regions using SQL and Excel to optimize PI-Book sales performance by 15%; built Power BI dashboards for regional managers and automated weekly reporting workflows, reducing manual reporting time by 40%.
Education
Degrees, certifications, and relevant coursework
Dr APJ Abdul Kalam Technical University
Bachelor of Technology, Computer Science Engineering
2021 - 2025
Grade: CGPA: 7.71
Activities and societies: Participated in tech club hackathons (organized 3+), student projects in data analysis, mentored interns
Bachelor of Technology in Computer Science Engineering completed with a CGPA of 7.71, covering core CSE subjects and practical projects in data analysis and machine learning.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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