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Pratham Satpute

@prathamsatpute

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Data analyst specializing in analytics, BI, and predictive modeling.

India

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What I'm looking for

I seek analyst roles where I can build predictive models and dashboards, work with clean data pipelines, collaborate cross-functionally, and drive measurable business impact in a growth-oriented team.

I am a data-focused analytics professional with hands-on experience in data cleaning, transformation, forecasting, and building real-time dashboards. I have implemented API-driven pipelines, anomaly detection, and reporting solutions that reduced manual processing by 75% while producing actionable insights across retail, telecom, and e-commerce domains.

I combine technical skills in Python, SQL, Power BI, Tableau, and cloud/tools like Firebase, Docker, and AWS with strong data storytelling and client-facing communication. My project work includes a 92% accurate time-series sales forecast, churn analysis on 7k+ records, and cohort/RFM analyses on 100k+ orders.

Experience

Work history, roles, and key accomplishments

Application Developer

University of Mumbai

Jan 2025 - Jul 2025 (6 months)

Performed data cleaning, transformation, and analysis on academic records to automate decision workflows and built real-time Firebase dashboards that reduced manual processing time by 75%. Implemented data validation, anomaly detection, and API-driven pipelines to structure and visualize real-time activity logs.

Python SQL Firebase Power BI Data Cleaning ETL Dashboarding Anomaly Detection

Education

Degrees, certifications, and relevant coursework

Sardar Patel Institute of Technology

Master of Computer Applications, Computer Applications

2023 - 2025

Grade: 7.07 CGPA

Master in Computer Applications with a 7.07 CGPA, coursework and projects focused on data analysis, dashboarding, and automation (Aug 2023 – Jul 2025).

Fergusson College

Bachelor of Science, Computer Science

2020 - 2023

Grade: 8.23 CGPA

Bachelor of Science in Computer Science with an 8.23 CGPA, covering programming, data analytics, and machine learning fundamentals (Aug 2020 – May 2023).