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