Skip to content
View aneeb394-dev's full-sized avatar

Block or report aneeb394-dev

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
aneeb394-dev/README.md
Header Typing intro

Email LinkedIn Resume GitHub


Professional Summary

A dedicated Data Science and Analytics professional, specialized in transforming raw corporate and financial data into useful insights to drive strategic decision-making and operational efficiency. Backed by an advanced academic foundation in executing complex research methodologies, I have developed extensive expertise in advanced data analytics using Power BI, SQL, and Python. This enables me to conduct complex multivariate analysis, financial modeling, and predictive data science workflows to solve intricate business problems and support evidence-based growth.

📊 Data Analytics 🤖 Data Science 📈 Business Intelligence
Exploratory analysis
Multivariate analysis
Data cleaning
Predictive workflows
Financial modeling
Feature engineering
Interactive dashboards
Relational data modeling
Advanced DAX

Internship Experience

🔹 NextGen Learner Internship

Data Analytics · Weekly Hands-on Projects

A four-week internship at NextGen Learner, with each week's work documented in its own repository:

Week Focus Repository
Week 1 Data Creation & Cleaning Repo
Week 2 Exploratory Data Analysis (EDA) Repo
Week 3 SQL & Dashboard Repo
Week 4 Final Internship Project Repo

Python Pandas SQL EDA


Project Experience

🔹 Data Analyst · Hotel Booking Demand Analysis

Power BI · Business Intelligence Dashboard

  • Built an interactive Power BI dashboard tracking booking trends, cancellations and revenue patterns
  • Implemented relational data modeling and advanced DAX measures to deliver accurate business KPIs
  • Turned booking data into insights that support demand forecasting and revenue decisions

Power BI DAX Data Modeling

View Repository


🔹 Data Analyst · Cyclistic Bike-Share Analysis 2025

Python · Behavioral Analytics

  • Analyzed 12+ months of ride data (5k+ bikes, 600+ stations) using Python
  • Cleaned and merged multiple CSV files with Pandas and Glob
  • Engineered temporal features for rider behavioral profiling
  • Applied KDE and statistical visualization to uncover usage patterns

Python Pandas Seaborn Jupyter

View Repository


🔹 Data Analyst · Tech Layoffs EDA

Python · Exploratory Data Analysis

  • Performed exploratory data analysis on tech-industry layoffs data
  • Cleaned and prepared the dataset, then visualized trends across companies, industries and time

Python Pandas EDA

View Repository


Technical Skills

Analytics & Visualization

Power BI Python Pandas Seaborn D3.js

Databases & SQL

SQL Server MySQL PostgreSQL Oracle Hive

Machine Learning

scikit-learn TensorFlow PyTorch OpenCV


Let's Connect

Open to data analytics opportunities and collaborations.

📧 aneebqureshi394@gmail.com · 💼 LinkedIn · 📄 Full CV

Footer

Popular repositories Loading

  1. Tech-Layoffs-EDA Tech-Layoffs-EDA Public

  2. Cyclistic-Bike-Share-Analysis-2025- Cyclistic-Bike-Share-Analysis-2025- Public

    An analysis of 12+ months of ride data (5k+ bikes, 600+ stations) using Python. Cleaned and merged CSVs via Pandas and Glob, then engineered temporal features for behavioral profiling. Used KDE, co…

    Jupyter Notebook

  3. Hotel_Booking_Demand_Analysis Hotel_Booking_Demand_Analysis Public

    A hotel booking analytics project featuring an interactive Power BI dashboard tracking trends, cancellations, and revenue patterns. Implemented relational data modeling and advanced DAX to measure …

  4. aneeb394-dev aneeb394-dev Public

  5. Data-Creating-and-Cleaning Data-Creating-and-Cleaning Public

    Using Faker library I have created a messy dataset and then cleaned it by pandas library in python in just few steps.

    Jupyter Notebook

  6. Week2_EDA_M_Aneeb Week2_EDA_M_Aneeb Public

    Visual Analysis of number of applicants and the overall trends of application per universities and field of studies

    Jupyter Notebook