Hi, I'm Sujal
Data Analyst
I turn raw data into actionable insights using SQL, Python, and Power BI — building clean reporting frameworks that support smarter decisions.
Professional Summary
A detail-oriented analytical mind driven by data integrity and logic.
Sujal Suhas Katale
As a B.Sc. Information Technology student (2023–2025) with a strong analytical mindset, I specialize in transforming disorganized datasets into structured, actionable reporting frameworks.
My technical foundation is built on SQL, Python, and Power BI. I excel at ensuring data integrity, building logical pipelines, and designing impactful visualizations that make complex information immediately understandable.
I am deeply interested in collaborative BI team environments where data-driven decisions guide strategy. Whether it's writing optimized SQL queries, cleaning data with Python paradigms, or designing SaaS-style dashboards in Power BI, my focus is always on clarity, accuracy, and operational efficiency.
Technical Arsenal
Proficiencies that power structured, logical, and insightful data analysis.
Core Analytics Capabilities
Tools & Ecosystem
My Approach to Data Tools
I don't just use tools; I leverage them to build maintainable, deeply-structured systems. A visualization is only as good as the logic driving the underlying query, and my strength lies in connecting the two seamlessly.
Case Studies
Real-world data problems solved through rigorous logic, clear reporting, and streamlined workflows.
Employee Management System
Team Lead
Problem
Maintaining accurate employee records, preventing redundancy, and extracting logical reporting structures were highly manual and prone to human error.
Approach
Designed core data logic, streamlined user workflows, and implemented an automated reporting structure ensuring high data integrity.
Outcome
Significantly improved operational efficiency and created a single source of truth for internal HR documentation and analytics.
Executive Sales Dashboard
Data Visualization Designer
Problem
Stakeholders lacked a unified, real-time view of regional sales performance, making quarterly strategy adjustments reactive instead of proactive.
Approach
Extracted transactional data, modeled relationships in Power BI, and built dynamic KPI tiles with drill-down geographic capabilities.
Outcome
Delivered a clean, high-contrast dashboard enabling instant identification of underperforming regions and high-margin product categories.
Data Cleaning & Validation Pipeline
Data Analyst
Problem
Raw incoming datasets contained heavy duplication, inconsistent formatting, and null values, corrupting downstream analytical reports.
Approach
Built a Python (Pandas) script to identify/remove duplicates, impute missing values critically, and validated the cleaned set via SQL constraints.
Outcome
Achieved 99.8% data quality consistency, reducing the time spent by analysts fixing errors manually by over 12 hours weekly.
Academic Foundation
B.Sc. Information Technology
Mumbai University
Higher Secondary Certificate (HSC)
State Board
Secondary School Certificate (SSC)
State Board
Certifications
Data Analytics Training
NetTech India Institute
Core Focus Areas
- Process Compliance & Standardized Reporting
- Data-Driven Problem Solving methodologies
- Stakeholder Communication for deep insights
Professional Strengths
Analytical Rigor
Commitment to absolute data accuracy before drawing conclusions.
Communication
Translating complex SQL logic into accessible stakeholder reports.
Adaptability
High-pressure readiness and swift onboarding to new schemas.
Decisive Action
Enabling strategy execution via reliable data-driven insights.
Linguistic Capabilities
Clear stakeholder communication across multiple languages.
English
Professional/Bilingual
Marathi
Native/Bilingual
Hindi
Native/Bilingual