Mohammad Fiza

Recent Computer Science Graduate | Data Analyst

LinkedIn | Email | Phone

[email protected]

8008904309

Hyderabad, INDIA

About

Highly analytical Computer Science graduate with a strong foundation in data analysis and business intelligence, eager to transform complex data into actionable insights. Proven ability to design interactive dashboards, and optimize data processes using Python, SQL, Power BI, and advanced analytical techniques. Seeking to apply technical expertise and problem-solving skills to drive data-driven decision-making and deliver significant business value.

Work Experience

Patient Wait List Insights (Power BI Dashboard)

Independent Project

Aug 2025 - Aug 2025

Hyderabad, Telangana, India

Developed an interactive Power BI dashboard to analyze patient waiting lists, featuring dynamic filtering and specialty-wise breakdowns to support operational insights.

  • Developed and customized an interactive Power BI dashboard to track patient waiting lists by case type and specialty, utilizing enhanced visuals and DAX measures for improved data accessibility.
  • Applied Power Query for robust data transformation and modeling, enabling dynamic filtering, trend analysis, and specialty-wise breakdowns across diverse datasets.
  • Utilized Power BI, DAX, Power Query, and Data Transformation & Modeling to deliver a comprehensive business intelligence solution, enhancing operational insights for patient management.

AppVision (SQL Analysis of Play Store Apps)

Independent Project

Jul 2025 - Jul 2025

Hyderabad, Telangana, India

Executed complex SQL queries to analyze Play Store app records, deriving critical developer and performance insights by applying advanced SQL functions.

  • Designed and executed complex SQL queries, leveraging joins, CTEs, CASE logic, and window functions to derive critical developer and performance insights from app records.
  • Optimized data processing by cleaning and reformatting Score and Version columns, resulting in a 30% reduction in query run time.
  • Authored 12 modular SQL queries, ranging from beginner to advanced concepts, to effectively extract and analyze Play Store app data.
  • Utilized SQL, MySQL Workbench, and Microsoft Excel for comprehensive data analysis and reporting, ensuring data integrity and accessibility.

Student Performance Indicator

Independent Project

Oct 2024 - Jan 2025

Hyderabad, Telangana, India

Developed a Python-based machine learning model with an 88% accuracy rate to predict student performance, integrating it into a real-time prediction web interface.

  • Developed a Python-based machine learning model to predict student performance, achieving 88% accuracy through EDA-driven feature engineering and scikit-learn models.
  • Integrated the trained model into a Streamlit web interface, enabling real-time predictions and user interaction with an adapted layout.
  • Utilized Python, scikit-learn, Pandas, NumPy, Matplotlib, and Jupyter Notebook for comprehensive model development, data processing, and visualization.

Education

Computer Science and Engineering

Rajiv Gandhi University of Knowledge Technologies, Basar

CGPA: 7.8 (Bachelor of Technology), CGPA: 8.2 (Pre-University Course)

Jul 2019 - May 2025

Basar, Telangana, India

Secondary Education

Ricob Bazar Govt High School

GPA: 9.8

Jun 2018 - Apr 2019

Hyderabad, Telangana, India

Certificates

Data Analytics Job Simulation

Deloitte Australia (via Forage)

Jul 2025

SQL 50 Badge

Leetcode

Nov 2024

Python (Basic)

HackerRank

Sep 2024

Skills

Programming Languages

  • Python
  • SQL

Data Analysis & ML Libraries

  • scikit-learn
  • NumPy
  • Pandas
  • Matplotlib

Business Intelligence & Databases

  • Power BI
  • MySQL
  • Excel

Tools & Platforms

  • MySQL Workbench
  • Jupyter Notebook
  • GitHub
  • Streamlit

Soft Skills

  • Communication
  • Team Collaboration
  • Time Management
  • Problem Solving
  • Adaptability
  • Fast Learner

Data Science Techniques

  • SQL Querying
  • Data Cleaning
  • Feature Engineering
  • Data Transformation & Modeling
  • DAX