Maseera Firdose
Telangana |-|- |
| www.linkedin.com/in/maseera-firdose |
PROFILE SUMMARY
Results-driven Business Analyst with a strong foundation in data analysis, visualization, and reporting. Skilled in
**SQL, Excel,Python, Power BI/Tableau**, and statistical analysis to transform raw data into actionable insights.
Passionate about identifying trends, optimizing processes, and supporting data-driven decision-making..
Work Experience
• Responded to inquiries and user problems, diligently documented incident classification, and diagnosed
software and hardware issues to ensure timely resolution.
• Assigned requests to appropriate departments as needed, worked on Active Directory and SAR transactions
using ITPA ID to streamline processes.
• Expertly resolved SCCM software issues, provided support on ITSM platform, and addressed IOS-related issues,
proxy, VPN, SAP basic, Air Watch portal issues, and C drive issues
• Proficiently managed MS Teams, MS Office issues, add-ins, shared mailbox, and various Outlook or MS Excel
issues, ensuring a seamless user experience.
Education
SR Engineering college, B.Tech in Computer Science
August 2016– May 2020
• CGPA: 8.01/10.0 ()
SRM University, MBA Business Analytics
Jan 2024– DEC 2025
• CGPA: 9.01/10.0 ()
Skills
Technical Skills: SQL, Python, Statistics, Advanced Excel, Tableau, Power BI, Pivot Charts,Dax,Power Query
Editor, EDA.
Analytical Skills: Data analysis, Data visualization, Data cleaning
Soft skills: Strong problem solver , communication, Attention to detail, strong time management, listening, and
comprehension skills, strong analytical and logical skills
Projects
Covid-19 Global Cases Analysis
• Created interactive Tableau dashboards to analyze and visualize Covid-19 global cases data.
• Utilized data aggregation and visualization techniques to facilitate informed decision-making during the
pandemic.
• Tools used: Tableau,Excel
EDA On Retail sales Data
EDA on Retail Sales
• Importing Necessary Library functions like Pandas , Numpy,Matplotlib,sea born
• Data Loading and Cleaning the data,handling missing values or Null values.
• Performed Descriptive Statistics ( Calculate Mean, Median , Std dev)
• Time Series Analysis- Analyze Sales Trend over time using time series Techniques. .
• Customer and Product Analysis -Analyze Customer demographics and purchasing behaviour.
• Visualization - Presenting insights with bar chart, line chart and heat maps.
• Tools used: Python (Pandas,matplotlib,sea born,numpy)
Coffee Sales Dashboard
• Developed a dynamic interactive Coffee Sales Dashboard using Pivot tables and charts.
• Sales data analyzed to identify trends, popular products, and customer preferences in real time.
• Tools Used : Excel, Pivot chart.
Airbnd Dashbord
Dashbord document
• AIRBNB Dashboards Project Facilitate a comprehensive Comparative examination between Chicago and New
Orleans.
• Connect to Data Sources Used Data Interpreter to clean data .
• Both datasets have the same structure union them in Tableau.
• Data Cleaning : Checked Missing Values (blanks, nulls), Inconsistent Formats (dates, numbers, text),Spelling
Errors (e.g., "Logan Squat" → "Logan Square")and Duplicate Entries.
• Standardize Column Names and fixed data types.
• Created calculated fields for metrics Used Filters, Trend line, Reference Line For Better understanding.
• Created charts for visualization on property Analysis , host analysis and pricing analysis.
• Tools Used: Excel , Tableau.
Internships
Data Analyst, Dynamic web tech
fraud detection link March
2025 – April 2025
• Credit Card Fraud Detection
• Credit card fraud is a significant concern for financial institutions and consumers alike. With the rise of online
transactions, detecting fraudulent activities has become increasingly challenging.
• In this project we understood the importance of credit card fraud detection and its impact on financial security.
• we did pre-processing techniques for handling imbalanced datasets commonly encountered in fraud detection
tasks.
• Implemented various machine learning algorithms such as Relation plot, Category Plot, Logistic Regression for
fraud detection.
• Evaluating the performance of the models using metrics like precision
• Tools Used : Python,ML
Business Analyst, Lab metrix
Time series Analysis on FBI
link March 2025
• Written a document on product dissection for threads.
• Designed Report for FBI Time Series Forecasting FBI Crime Investigation Project focuses on developing a
predictive model that estimates the number of crime incidents on a monthly basis using detailed data at the day
and hour level. The data encompasses crime types, geographical coordinates, neighborhood details, and time
stamps, facilitating a comprehensive analysis of spatial and temporal crime pattern.
• Tools Used : Python, Tableau.
Virtual Internship on Power bi Virtual case experience, PWC
• Created a dashboard in Power BI that reflects all relevant Key Performance Indicators (KPIs) and metrics in the
data set for Call Center Trends.
• Create a dashboard for the Customer retention manager reflecting the KPIs
• Created a Visualization for Diversity and Inclusion Gender balance executive case.
• Tools Used : Power BI, Power Query Editor.
Virtual Internship Deloitte Australia Data Analytics Job Simulation on Forage - May 2025
• Completed a Deloitte job simulation involving data analysis and forensic technology
• Created a data dashboard using Tableau
• Used Excel to classify data and draw business conclusions
Virtual Internship Tata Data Visualisation: Empowering Business with Effective Insights Job Simulation on
Forage - May 2025
• Completed a simulation involving creating data visualizations for Tata Consultancy Services
• Prepared questions for a meeting with client senior leadership
• Created visuals for data analysis to help executives with effective decision making
Certification
Microsoft Certified: Power BI Data Analyst Associate,
