Lucky Suthar

Lucky Suthar

Data Analyst | Cut Manual Reporting by 25% @ LIC | Python • SQL • Power BI

Bengaluru, IndiaData Analytics and Business Intelligence
3roles
28skills
3education
2credentials

About

I turn messy data into clear decisions — and I'm just getting started. I'm a Computer Science graduate (Parul University, 2025) who spent the summer of 2025 at LIC Housing Finance Ltd as a Data Analytics Intern — where I didn't just run reports. I built them from scratch. In 3 months, I: → Analyzed 5,000+ customer and operational records to surface reporting gaps → Built Excel dashboards tracking 15+ KPIs, used daily by internal business teams → Automated reporting workflows — cutting manual effort by ~25% → Resolved data discrepancies slowing down team decision-making My toolkit: Python (Pandas, NumPy, Matplotlib) | SQL/MySQL | Power BI | Excel | Tableau | Git Beyond the internship, I've built real, deployed projects: 📊 E-Commerce Sales Dashboard — Live Streamlit app analyzing regional sales, profit margins & product category performance (Python + Power BI) 🎬 IMDb Movie EDA — Trend analysis on ratings, genres & popularity using Pandas + Matplotlib 📈 Financial Risk Dashboard — Operational KPI tracker built end-to-end with SQL + Power BI I moved to Bengaluru because this is where data-driven companies are growing fastest — and I want to contribute to that growth from day one. I'm actively looking for Data Analyst, Business Analyst, or Operations Analyst roles where I can learn fast, move fast, and build things that actually matter. 📩 [email protected] 🌐 https://github.com/Luckysuthar17

Experience

Data Analytics Intern

LIC

3 mos · Vadodara

Built Excel-based KPI dashboards monitoring 15+ operational metrics — giving business teams a single-pane view that replaced scattered manual reports and accelerated performance reviews. Automated recurring reporting workflows using structured Excel formulas and datasets, reducing manual effort by ~25% and reallocating team capacity toward analysis work. Cleaned and analyzed 5,000+ customer and operational records, identifying data discrepancies that were surfaced to and resolved by business stakeholders — improving downstream reporting accuracy.

Full Stack Developer

Slash Mark IT Solutions (OPC) Pvt. Ltd

4 mos · Karimnagar

Developed and maintained web applications using React.js, Node.js, and databases like MySQL/MongoDB. Built and optimized RESTful APIs, collaborated in an Agile environment, and implemented performance and security best practices. Gained hands-on experience with Git, cloud deployment (AWS/Firebase), and CI/CD pipelines, contributing to scalable and efficient web solutions.

Data Analytics Intern

LIC Housing Finance Ltd

July 2025 – September 2025 · Vadodara, India

Analyzed customer and operational datasets containing 5,000+ records to support reporting and business decisions; developed Excel dashboards and reports tracking 15+ operational KPIs; automated reporting workflows using Excel functions and structured datasets, reducing manual reporting effort by approximately 25%; collaborated with business teams to resolve data discrepancies and improve reporting processes.

Education

Parul University

Bachelor of Technology - BTech, Computer Science And Technology

Aug 2021 - May 2025

New Shannen School

HSC, Science

May 2020 - May 2021

Parul Institute of Engineering and Technology

Bachelor of Technology, Computer Science & Engineering

2021 – 2025

CGPA: 6.2

Skills

Python (Programming Language)Pandas (Software)JavaScriptSQLCascading Style Sheets (CSS)PythonPandasNumPyMatplotlibMySQLExcelPower BITableauData CleaningExploratory Data Analysis (EDA)Statistical AnalysisData VisualizationDashboard DevelopmentKPI DevelopmentJupyter NotebookGitHubData ModelingData ReportingPerformance MetricsBusiness AnalyticsData-Driven Decision MakingPivot TablesVLOOKUP

Projects

E-Commerce Sales Analysis

Advanced data analysis project simulating real-world business KPIs. Calculated total sales and profit, computed profit margins, analyzed sales by region, identified the most profitable category, and performed data cleaning and transformation in Excel for analysis and visualization. Tools: Python, Pandas, Power BI, Excel, Git.

IMDb Movie Data Analysis Dashboard

Conducted exploratory data analysis on movie datasets to identify trends in ratings, genres, and popularity; cleaned and transformed raw datasets using Python, Pandas, and NumPy; created visualizations using Matplotlib to communicate insights and support data-driven conclusions. Tools: Python, Pandas, NumPy, Matplotlib, Jupyter Notebook.