About

About Me

B.Tech CSE graduate with hands-on experience in Data Analysis, Machine Learning, and Natural Language Processing. Experienced in developing end-to-end data pipelines, from data cleaning and transformation to model deployment and dashboard creation. Passionate about building data-driven solutions that solve real-world business problems.

Currently exploring Large Language Models and Generative AI to deepen my expertise in advanced NLP and AI-driven solutions.

LinkedIn GitHub Resume

Skills

Category Tools / Skills
Languages & Libraries
Databases
Data Analytics & Statistics
Machine Learning & NLP
Tools & Platforms

0 +   Projects completed

GitHub MavenAnalytics

Resume

Resume

Experience

Jan 2025 – Jun 2025

Data Analyst Intern

ThinkNEXT Technologies Pvt Ltd
  • Optimized and transformed raw datasets to deliver high-quality, actionable insights that accelerated decision-making, improved cross-team efficiency, and supported ThinkNEXT Technologies’ mission of data-driven innovation.

Education

2021 – 2025

Bachelor of Technology (B.Tech)

CGC College of Engineering

Grade: 8.0/10 GPA

2018 – 2020

Higher Secondary School

Maharaj Lakshmishwar Singh Memorial College

Grade: 81%

Projects

Projects

End-to-End Data Analysis Projects

Vendor Impact Analysis

VendorScope – Vendor Performance Analytics

Tech Used: Python, SQL, ETL, EDA, Power BI

Conducted comprehensive vendor impact analysis to optimize retail supply chain operations, improve vendor performance, and enhance overall business efficiency through data-driven insights and strategic recommendations.

GitHub↗ Live Dashboard↗
Churn Analysis & Prediction

ChurnLens – Churn Analytics & Prediction

Tech Used: SQL, ETL, Python(Random Forest), Power BI

Analyzed customer behavior and churn patterns to uncover high-risk segments, improve retention strategies, and strengthen overall business performance. Built predictive models to identify churn status and provide actionable insights for targeted intervention.

GitHub↗ Live Dashboard↗
Banking Portfolio Risk Analysis

Comprehensive Banking Portfolio and Risk Analysis

Tech Stack: Python, SQL, Power BI

Conducted an in-depth analysis of banking portfolios to assess risk exposure, optimize asset allocation, and enhance decision-making through data-driven insights and interactive dashboards.

GitHub↗ Live Dashboard↗

Power BI & Excel Projects

Global Sales

Global Sales Trends & Performance Insights

Tools: Power BI Desktop/Service, DAX, PowerQuery

Developed a Power BI dashboard to analyze annual sales trends (2003–2005) of collectible vehicles, uncovering key sales patterns, product performance insights, and customer distribution trends to inform strategic business decisions.

Description↗ Live Dashboard↗
Hajj-Umrah 2024

Pilgrim demographics & crowd management

Tools: Power BI Desktop/Service, DAX, PowerQuery

Explored 2024 Hajj-Umrah data to analyze pilgrim movement patterns and trends. Derived actionable insights to optimize crowd management and resource allocation. Supported data-driven planning for improved safety and operational efficiency.

Description↗ Live Dashboard↗
Olympics 2024 Analysis Dashboard

Paris Olympics Analysis

Tools: Power BI Desktop/Service, DAX, PowerQuery

Developed an interactive dashboard visualizing Olympic medal tally, athlete performances, and country-wise rankings. Analyzed trends to identify top-performing athletes and nations. Provided actionable insights for sports analytics and performance benchmarking.

Description↗ Live Dashboard↗
sales report

SalesPulse – Annual Sales Performance

Tools: Advanced Excel, Macros, VBA

The Retail Analytics Dashboard – Annual Business Review 2022 delivers a comprehensive overview of customer orders, revenue trends, sales channels, and demographic breakdowns.

Description↗ Live Dashboard↗

Machine Learning & NLP

Customer Sentiment Analyzer

ReviewSense – Customer Sentiment Engine

Tech Stack: Python, Pandas, Scikit-learn, NLTK, Streamlit

A streamlined NLP-based tool that processes thousands of customer reviews in seconds to extract sentiment, highlight key themes, and deliver actionable insights for data-driven decisions.

GitHub↗ Live App↗
Desktop Voice Assistant

VoiceMate – Desktop Voice Assistant

Tech Stack : Python, API Handling, NLP, Qt Designer

A Python-powered, voice-controlled desktop assistant that automates system tasks hands-free using real-time speech recognition, command parsing, and NLP-driven intent handling.

GitHub: View Code & Details↗
Movie Recommendation Engine

Recommendation Engine

Tools: Python Scikit-learn, Streamlit

Built a content-based recommendation engine that analyzes movie metadata to suggest highly similar titles based on user input. Incorporated movie ratings and trailers to enhance recommendation relevance and user engagement.

GitHub↗ Live App↗
Fraud Transaction Detection

FraudShield – Transaction Fraud Detection System

Tools: Python, Scikit-learn, XGBoost

I am working on it...!!

Detect fraudulent transactions in financial datasets to prevent monetary losses and improve security measures.

GitHub
0 Achievements
0 Projects
0 Cups of coffee

More projects on Github

I love to solve business problems & uncover hidden data stories

LinkedIn GitHub

Contact

Contact Me

Address

New Delhi, India

Contact Number

+91 70916 28918

Email Address

faisalkhan.datasci@gmail.com

Download Resume

Click to View

Have a Question? Click Here

  • Find me on