Tanvir Ahmed Munna

I am Tanvir Ahmed Munna, a dedicated Data Analyst and Mathematics graduate from Shahjalal University of Science and Technology, Sylhet. I am passionate about transforming raw data into meaningful insights. With expertise in Statistics, Python, SQL, and visualization tools like Tableau and Power BI, I excel in uncovering trends and patterns that drive strategic business decisions. Eager to contribute my analytical skills and passion for problem-solving in a collaborative team environment.

Skills

• Microsoft Excel
• Power BI
• Python
• SQL
• HTML
• Tableau

• Management
• Communication
• Team Work
• Problem Solving
• Analysis
• Creativity

Projects

Florida Real Estate Market Analysis

• Developed a Python web scraper using Selenium to collect real estate data from Realtor.com, covering over 206 pages of Florida properties.
• Cleaned and transformed the dataset, then created interactive dashboards in Tableau to visualize broker performance, property prices, and geographic trends, aiding in data-driven decision-making for real estate agents, buyers and investors.

Customer Churn Analysis

• Investigated why customers are churning at the rate they are and how to reduce churn.
• Created calculated columns and fields, builded PivotTables, dashboard with Excel.

Data Science Job Market Analysis

• Conducted an in-depth analysis of data science job market trends using Power BI, revealing a steady increase in job postings and a high demand for roles such as Data Engineers and Data Scientists.
• Identified key skills correlated with specific job titles and highlighted the tech industry's dominance in job openings, providing valuable insights for job seekers and employers.

Product Sales Approach Analysis

• Analyzed sales data with Python from Stationary to evaluate the effectiveness of different sales strategies (email, phone calls, and a combination of both) for a new product line.
• Provided actionable insight with Plotly on customer engagement and revenue generation for each approach, helping the executive team make informed decisions on optimizing sales methods.

Airbnb Market Trends

• Combined data from CSV, TSV, and Excel files to analyze the New York Airbnb market, identifying key insights such as review dates, private room counts, and average listing prices.
• Presented key metrics, demonstrating data integration, cleaning, and transformation skills for effective decision-making for real-estate.

Analyzing Unicorn Companies

• Analyzed the emergence of unicorn companies across 2019-2021, identifying the top three industries based on the number of new unicorns using SQL.
• Provided key insights on the average valuation and growth trends of these high-value companies, supporting strategic investment decisions.

Hotel Booking Analysis

• Validated and modeled 119390 rows and 28 columns in Tableau
• Forecasted booking and cancellation rate in monthly basis, uncovered guest type, their meal type and customer repetition

Diabetes Patient Analysis

• Diagnostically predicted whether a woman has a risk of diabetes or not according to blood pressure,pregnancies, ages, glucose, insulin, skin thickness and BMI etc.

Financial Analysis

• Processed datasets with Power Query, created measures and tables, modeled tables
• Developed a dashboard with MS Power BI, showed month to month sales growth and sales, profit trends among different KPIs and regions

HR Employee Attrition Analysis

• Uncovered the KPIs those influences employee attrition for a human resources team.

Bike Sales Analysis

• Cleaned, categorized and validated bike sales data using functions, formulas and PivotTable.
• Visualized customer segmentation by age, gender, occupation, relationship among customer age, commute, count of purchased bike in MS Excel.

Education