Siddharth Misra
@siddharthmisra
Data Analyst | Python, SQL, Power BI | Automating insights & building dashboards
What I'm looking for
I'm Siddharth Misra, a passionate data analyst with a strong foundation in Python and data visualization. My journey in the tech world began during my B.Tech in Computer Science, where I honed my skills in machine learning, data modeling, and software engineering. I thrive on turning complex data into actionable insights, and I have a proven track record of delivering impactful projects.
Throughout my career, I have successfully managed multiple agile development projects, reducing delivery times by 20% and enhancing client performance metrics through BI dashboard development. My internship experiences have further solidified my expertise in data analytics, where I boosted LinkedIn traffic significantly and developed a real-time classroom simulation tool that improved student assessments. I am committed to leveraging my skills to drive data-driven decision-making and contribute to innovative solutions.
Experience
Work history, roles, and key accomplishments
Project Management Associate
Infinite Locus
Nov 2024 - Feb 2025 (3 months)
Managed over 4 agile development projects, successfully reducing delivery time by 20%. Coordinated the development of BI dashboards for client performance metrics demonstrations and optimized various workflows.
Web Development Data Intern
IIM Indore
Jan 2024 - Jul 2024 (6 months)
Built a real-time classroom simulation tool that was synced to a real-time database. Enhanced student assessments by creating easy-to-use tests and interactive performance dashboards.
Business Analytics Marketing Intern
Tartan
Jan 2024 - Jul 2024 (6 months)
Boosted LinkedIn traffic by 130x through data-driven content strategies, A/B testing, and Python-based data automation. Analyzed social media metrics using Power BI and generated weekly dashboards to track performance.
Education
Degrees, certifications, and relevant coursework
Jaypee University of Information Technology
B.Tech, Computer Science
Grade: 8.28
Studied Computer Science, covering core subjects like Machine Learning, DBMS, Operating Systems, Data Structures and Algorithms, and Software Engineering. Achieved a CGPA of 8.28.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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