Aspiring Data Scientist | Machine Learning Enthusiast Turning data into insights, models into predictions, and ideas into practical solutions.

👨‍💻 About Me Hi! I'm Mohammad Ali SK, an aspiring Data Scientist interested in using data analytics, machine learning, and software development to solve practical problems. I enjoy exploring datasets, identifying patterns, building predictive models, creating interactive dashboards, and developing applications that turn technical ideas into useful products.

• 🎓 Education: Bachelor of Computer Applications (BCA)
• 🏫 University: Amity University
• 📍 Location: West Bengal, India
• 📊 Interests: Data Science, Data Analytics, Machine Learning, and Predictive Modeling
• 🛠️ Approach: Learning by building practical, project-driven solutions
• 🎯 Career Goal: To grow into a Data Scientist and contribute to data-driven products and decisions 🎯 Areas of Interest
• Data Analytics: Data cleaning, preprocessing, exploratory data analysis (EDA), SQL analysis, and KPI reporting
• Machine Learning: Classification, predictive modeling, feature engineering, and model evaluation
• Data Visualization: Power BI dashboards, Matplotlib, Seaborn, and communicating analytical insights
• Applied AI & Development: Python applications, API integration, full-stack development, and information discovery 🛠️ Tech Stack Programming Languages

Data Science & Machine Learning

Analytics & Visualization

Databases

Web Development & APIs

Tools & Environment

🚀 Featured Projects Here are four projects showcasing my experience with AI-powered applications, machine learning, research-based analytics, and SQL business analysis.

1. 🔎 PhotoTrace AI — AI-Powered Reverse Image & Name Search Platform A full-stack web application for reverse image search and name-based searches across publicly available web results. Key Features

• Developed reverse image search and name-based public web search workflows.
• Integrated Google Lens search through SerpApi to retrieve exact and visually similar image matches.
• Combined image and name search to help explore related public web pages.
• Built a responsive frontend and REST API backend to process searches and display results. Technologies: React · TypeScript · Python · FastAPI · PostgreSQL · Tailwind CSS · SerpApi

2. 🤖 ChurnPredict — End-to-End Customer Churn Prediction Platform A full-stack machine learning application designed to analyse customer churn risk and generate customer-level predictions through an interactive dashboard. Key Features

• Developed customer churn prediction workflows using Logistic Regression and Random Forest.
• Implemented data preprocessing and machine learning pipelines.
• Built an interactive dashboard displaying churn-risk summaries, prediction results, and feature importance.
• Tested the CSV processing pipeline with a synthetic dataset of 200,000 rows and 100 columns, using bounded model-training and detailed-prediction workloads. Technologies: Python · Pandas · NumPy · Scikit-learn · FastAPI · React · TypeScript · Tailwind CSS · Recharts

3. 📊 Social Media Trend Analysis Using Data Analytics for Brand Strategy Optimization Final-Year Major Project | BCA (Data Analytics), Amity University Online | 2025–2026 A research-based project examining how social media trends and data analytics can inform consumer behaviour analysis and brand strategy. Key Activities

• Studied how social media trends and analytics influence consumer behaviour, purchase decisions, and brand strategy.
• Collected primary data through a Google Forms survey of 50 respondents and reviewed academic literature and industry reports.
• Analysed survey findings using percentage analysis, graphical representation, and comparative analysis.
• Examined how analytics can help identify customer preferences and evaluate marketing effectiveness.
• Considered challenges including data privacy, limited technical skills, information overload, and implementation costs. Key Skills: Data Analytics · Survey Research · Descriptive Analysis · Data Interpretation · Data Visualization · Marketing Analytics

4. 🛒 Walmart Sales Analysis Using SQL & Data Analytics Personal Project A retail data analytics project focused on identifying sales trends and customer purchasing patterns using SQL and Python. Key Activities

• Analysed Walmart sales transaction data to identify business trends and customer purchasing patterns.
• Cleaned and preprocessed data using Python and Pandas, including handling missing values, removing duplicates, and converting data types.
• Used SQL aggregations, Common Table Expressions (CTEs), window functions, and date-based analysis to investigate business questions.
• Analysed payment-method preferences, branch-level transaction patterns, product category ratings, and sales trends.
• Compared year-over-year revenue across branches to identify potential declines and support data-driven business decisions. Technologies: PostgreSQL · SQL · Python · Pandas · Git · GitHub

🔬 My Data Science Workflow

My focus is not just on building a model or creating a dashboard. It is on understanding the problem, selecting appropriate methods, evaluating results, and communicating findings clearly. 📈 GitHub Overview

🌱 Currently Growing

• Strengthening Python, SQL, and analytical problem-solving skills
• Improving machine learning fundamentals and model evaluation
• Building practical, end-to-end data and AI-oriented applications
• Developing clear data visualizations and business insights
• Learning to deploy and maintain reliable applications 🤝 Let's Connect I'm interested in connecting with data professionals, developers, recruiters, and fellow learners who enjoy building practical solutions with data and technology.