Prasad Katore
@prasadkatore
Data analyst driving product insights and analytics-driven growth.
What I'm looking for
I am a data analyst with 3+ years of hands-on experience turning large, complex datasets into actionable product and business insights using SQL, Python and Power BI. I delivered analytics-driven solutions and machine learning models that improved forecasting, reduced stockouts, increased conversions, and contributed to substantial uplifts in business performance.
I have integrated ERP/CRM/finance data, built automated analytics pipelines and KPI dashboards, and led end-to-end analytics initiatives across cross-functional teams. I am certified in Power BI (PL-300) and Azure Data Science (DP-100), proficient with cloud platforms and LLM/RAG workflows, and focused on communicating clear, statistically validated recommendations to drive measurable outcomes.
Experience
Work history, roles, and key accomplishments
Data Analyst
Delta India
Jan 2024 - May 2025 (1 year 4 months)
Used Python, SQL, and statistical analysis on 500K+ records to improve sales performance, driving a 60% quarterly uplift and delivering Power BI dashboards that reduced low-ROI investment by 25%. Led end-to-end analytics initiatives integrating ERP, CRM, and finance data to improve reporting accuracy by 90%.
Data Analyst
Tibco Software
Mar 2021 - Aug 2022 (1 year 5 months)
Improved sales forecasting using SQL and Python on 5M+ records, increasing accuracy by 20% and building automated analytics pipelines and KPI dashboards across 12 departments. Applied predictive models to inventory planning, reducing stockouts by 15%.
Education
Degrees, certifications, and relevant coursework
Dublin City University
Master's Degree, Data Analytics
2022 - 2023
Completed a Master's Degree in Data Analytics with coursework and projects focused on data preparation, modeling, machine learning, and visualization.
Savitribai Phule Pune University
Bachelor of Engineering, Computer Science Engineering
2015 - 2020
Completed a Bachelor of Engineering in Computer Science Engineering with foundational coursework in programming, data structures, and systems.
Tech stack
Software and tools used professionally
Availability
Location
Salary expectations
Job categories
Skills
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