About
SURIYAPRAKASH A
Data Analyst
Transforming raw data into actionable insights.
Passionate about solving real-world problems with data-driven strategies.
About Me
Hey there! I’m a passionate Data Analyst on a journey to turn raw data into real impact. I work with tools like SQL, Power BI, Excel, and Python to analyze data, build interactive dashboards, and uncover trends that help businesses make smarter decisions.
From breaking down IPL match stats to exploring classic business datasets like Northwind, I’ve built data stories that are clear, insightful, and visually engaging. My process involves everything from data wrangling and cleaning to creating dashboards that highlight exactly what matters.
I’m actively building a data portfolio that reflects both my technical skills and my curiosity. If you're into clean visuals, sharp analysis, and data that speaks for itself—check out my work below
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Let’s connect and turn data into stories worth telling.
Key skills: Data analysis, Data visualization, Data Cleaning, Data Collection, Machine learning, Python, SQL, Tableau, Power BI
Skills
Technical Skills
  • Programming languages: Python (Pandas, NumPy)
  • Database management: SQL (MySQL, Microsoft SQL Server)
  • Data visualization: PowerBI, Matplotlib, Seaborn, Excel
  • Cloud computing: AWS
Soft Skills
  • Communication (written & verbal)
  • Problem-solving
  • Presentation
  • Teamwork
  • Attention to detail
Projects
🍕Pizza Sales Analytics Dashboard
Developed an interactive Power BI dashboard to analyze pizza sales data. Uncovered top-performing pizzas, peak sales hours, and customer ordering trends. Used Excel for cleaning and SQL for querying. Delivered business insights to support marketing and inventory strategies.
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🎯Student Score Prediction Model
Built a machine learning model to predict student exam scores based on study hours and other features. Performed data cleaning, EDA, and regression analysis using Python. Achieved high accuracy and visualized the results with Matplotlib and Seaborn.
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🌍Global Terrorism Dataset EDA
Performed exploratory data analysis on global terrorism data to identify patterns in attacks over time, regions, and target types. Used Python (Pandas, Seaborn) for data cleaning and visualization. Highlighted key trends through clear and impactful graphs.
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🏏IPL Data Analysis – SQL & Power BI
Analyzed IPL match and delivery data to extract insights on player performance, team trends, and venue impact. Used SQL for querying and Power BI to build a dynamic, filterable dashboard. Helped visualize historical data to support cricket strategy decisions.
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🛒Northwind Traders Data Analysis – SQL & Power BI
Used the classic Northwind database to explore product sales, customer segments, and regional performance. Wrote complex SQL queries and visualized key metrics in Power BI. Focused on actionable insights for sales optimization and business growth.
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Education
1
Bachelor of Engineering,
Computer Science and Engineering,
M.A.M School Of Engineering, NOV 2020 - JUL 2024
GPA 7.86
Relevant coursework: Database Management, Python
2
Certifications
  • Data Analytics and Visualization - Accenture North America
  • Python for Data Science - Infosys & Springboard
  • Data Analytics Master Class - Novi Tech R&D Pvt. Ltd
  • Data Analytics (Python, SQL, Excel, Power BI) - Besant Technologies
3
Courses
  • Data Analytics at Besant technologies
  • Python with Django at Besant technologies
Experience
Associate L1 (Data Analyst)
Infotact Solutions, April 2025 - Present
Responsibilities
  • Translated complex datasets into actionable insights to support business decision-making and operational efficiency.
  • Developed and maintained interactive dashboards and reports using Power BI and Excel, enabling real-time performance tracking.
  • Cleaned, transformed, and modeled data from multiple sources using SQL and Power Query to ensure data quality and consistency.
  • Identified key trends and KPIs, collaborated with cross-functional teams to optimize business processes and strategy.
  • Automated recurring reporting tasks to improve data delivery speed and reduce manual effort by 30%.
Data Science and Analytics Intern
The Sparks Foundation, AUG 2024 - SEP 2024
Responsibilities
  • Collected, cleaned, and manipulated large datasets, enhancing data integrity by 30%.
  • Conducted variance data analysis, improving data-driven decision-making by 25%.
  • Utilized Python, Pandas, NumPy, Excel, Power BI, and Matplotlib for data analysis and visualization, achieving 85% model accuracy.
  • Created interactive dashboards to visualize key performance indicators.
Contact
Phone: +91 6369893157
Feel free to reach out to discuss data analysis opportunities.
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