Hi, my name is

Dipta Mondal.

I turn data into decisions.

Data analyst and CS student from Bangladesh — specializing in Python, SQL, and data visualization. I help businesses extract meaningful insights from complex datasets, fast, clean, and actionable.

View My Work → Get In Touch
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01. About Me

Hello! I'm Dipta Mondal, a data analyst and computer science student based in Bangladesh 🇧🇩. I'm passionate about using data to solve real-world problems and tell compelling stories through visualizations.

I specialize in taking raw, messy datasets and transforming them into clear insights and beautiful charts that businesses can actually act on. My tools of choice are Python, Pandas, and SQL — with Google BigQuery for large-scale cloud analysis.

Currently available for freelance data analysis projects on Fiverr. I deliver within 24 hours with full documentation, clean code, and professional charts.

Technologies I work with:

  • Python (Pandas, NumPy)
  • Matplotlib & Seaborn
  • SQL & Google BigQuery
  • Plotly & Jupyter
  • Scikit-learn (ML)
  • VS Code & GitHub
# about_me.py
 
class Dipta:
  def __init__(self):
    self.name = "Dipta Mondal"
    self.role = "Data Analyst"
    self.uni  = "KUET, BD 🇧🇩"
    self.tools = [
      "Python", "SQL",
      "BigQuery", "Pandas"
    ]
 
  def available(self):
    return True # always ✓
 
print(Dipta().available())
# → True
02. Skills

What I Do

📊
Data Analysis
Cleaning messy datasets, finding patterns, and delivering clear business insights using Python and Pandas.
PandasNumPyEDACleaning
📈
Data Visualization
Building beautiful charts and dashboards that make complex data immediately understandable.
MatplotlibSeabornPlotly
🗄️
SQL & BigQuery
Writing complex queries, aggregations, and joins on large datasets using SQL and Google BigQuery.
SQLBigQueryDeepnote
🐍
Python Programming
Automating data pipelines, building clean scripts, and creating reproducible Jupyter notebooks.
PythonJupyterAutomation
🤖
Machine Learning
Applying ML models for sales prediction, customer segmentation, and classification tasks.
Scikit-learnRegressionClustering
☁️
Cloud & Version Control
Managing projects with GitHub, deploying notebooks on cloud platforms, Google Cloud services.
GitHubGoogle CloudVS Code
03. Projects

Things I've Built

// 01 ⭐ Featured
🛒 Superstore Sales Analysis

Full exploratory data analysis on 10,000+ retail transactions. Identified top revenue categories, seasonal trends, regional performance gaps, and the critical impact of discount strategies on profitability. Delivered 9 publication-ready charts.

📈 Best Year: 2017 — $733,215 in total sales
🗺️ Top Region: West Region ($725,457 revenue)
👥 Best Segment: Consumer ($134,119 profit)
⚠️ Key Finding: Discounts above 40% consistently cause losses

PythonPandasMatplotlibSeabornJupyterEDA
📊 Live Notebook 💻 Source Code
// 02 SQL
🛍️ E-Commerce Customer Analytics

Analyzed customer behavior, churn rate, and lifetime value using BigQuery SQL on 50,000+ records. Built cohort analysis to identify retention patterns and high-value customer segments.

BigQuerySQLDeepnotePlotlyCohort Analysis
🔒 Coming Soon
// 03 Machine Learning
📉 Sales Prediction Model

Built a regression model to forecast monthly sales with 87% accuracy. Used feature engineering, cross-validation, and hyperparameter tuning for reliable, production-ready predictions.

PythonScikit-learnNumPyMatplotlibRegression
🔒 Coming Soon
04. Contact

Let's Work Together

Have a dataset that needs cleaning? Need beautiful charts for your report?
Looking for data-driven insights for your business?
I deliver professional results within 24 hours.

💼
FreelanceHire me on Fiverr
→
💻
Codegithub.com/Dipta330
→
🔗
ProfessionalConnect on LinkedIn
→
✉️
Emailmondal2117025@stud.kuet.ac.bd
→