Who I Am & My Journey
Aspiring AI/ML Engineer focused on translating mathematical logic and algorithms into intelligent production software.
What I Bring to The Table
Helping organizations analyze historical trends, optimize inventories, and deploy machine learning pipelines.
AI & Machine Learning
Designing predictive models such as Random Forest Regressors, Linear Regressors, and Classification structures in Scikit-Learn.
Data Analytics
Processing raw tables using Pandas/NumPy, building Power BI dashboards, and performing Exploratory Data Analysis (EDA).
Recommendation Systems
Developing similarity metrics such as Cosine Similarity to construct content-based item recommender models.
SQL Database Engineering
Writing structured queries, designing tables, and optimizing joins using MySQL and PostgreSQL servers.
My Technical Workflow
Skills & Core Technologies
My structured technical skill set. Scroll to see progress bar animations.
Core Technology Stack
Demonstrating my Code & Logic
Explore my open-source ML models, analytical dashboards, and learning repositories. Cards automatically pull repository details.
AI Powered Car Price Prediction
Interactive Streamlit web application that predicts car resale prices based on historical parameters using Random Forest Regression.
Core Features- Automated data cleaning and preprocessing pipelines.
- Hyperparameter tuning on Random Forest Regressor models.
- Interactive Streamlit sliders and input forms for users.
- Visual analytics showing metric distributions.
AI Emergency Patient Priority Prediction
An end-to-end Machine Learning application that predicts whether an emergency patient should receive immediate medical attention based on vital signs and clinical information. The application assists healthcare professionals by providing fast, intelligent priority predictions using Logistic Regression.
Core Features- Automated data cleaning and missing value handling.
- Exploratory data analysis and feature engineering.
- Logistic Regression model training and evaluation.
- Interactive Streamlit dashboard with real-time prediction.
Breast Cancer Detection
Machine Learning classification project that predicts breast cancer diagnosis using Logistic Regression and an interactive Gradio application.
Core Features- Wisconsin breast cancer dataset exploratory analysis and evaluation.
- Feature scaling and data preprocessing pipelines using Scikit-Learn.
- Classification modeling using optimized Logistic Regression parameter tuning.
- Interactive Gradio app for live user-friendly diagnosis prediction.
Titanic Survival Prediction
Machine Learning classification project that predicts passenger survival using Logistic Regression and an interactive Gradio web application.
Core Features- Complete data cleanup, imputation, and exploratory analysis.
- Strategic feature engineering focusing on passenger titles and family groupings.
- Binary classification engine trained on optimised Logistic Regression estimators.
- Responsive Gradio interface enabling live simulation of passenger survival likelihoods.
California Housing Price Prediction
An interactive Streamlit dashboard mapping house values based on spatial and demographic variables using Linear Regression.
Core Features- Geographical distribution mapping of price variables.
- Rigorous exploratory analysis (EDA) and correlation testing.
- Evaluated with RMSE, MAE, and R-squared parameters.
- Model loading via pickle variables.
Movie Recommendation System
Content-based recommendation engine utilizing natural language processing and vector similarity metrics to suggest movies.
Core Features- Feature engineering extracting keywords, genres, and credits.
- Text vectorization utilizing CountVectorizer models.
- Calculates similarity matrices using Cosine Similarity.
- Clean dropdown selection interface displaying poster urls.
Pandas Practice Repository
Comprehensive reference collection of Jupyter notebooks demonstrating simple to advanced Pandas operations.
Core Features- Techniques for cleaning and restructuring raw data frames.
- Querying, filtering, grouping, and aggregations.
- Merging, joining, and consolidating multiple databases.
- Time-series analysis and index manipulation.
NumPy Practice Repository
A structured learning repository covering vector math, multi-dimensional matrices, and linear algebra foundations using NumPy.
Core Features- Creation and manipulation of multi-dimensional arrays.
- Mathematical matrix operations and matrix broadcasting.
- Boolean indexing, sorting, slicing, and query selections.
- Performance testing comparing NumPy with native Python lists.
Data Viz & Statistical Charts
Collection of visualization notebooks demonstrating complex statistical charts, dashboard setups, and EDA practices.
Core Features- Distribution plots, box-plots, jointplots, and heatmaps.
- Customized themes, color palettes, and subplots.
- Analytical charting illustrating variable correlations.
- Complete statistical reporting on dataset variables.
Professional Certifications
Validating technical data engineering and analytical frameworks with official credentials.
Deep dive into data structures, scientific computing with NumPy/Pandas, visualization, and basic machine learning model building in Python.
Foundational programming paradigms, object-oriented principles, modules, packages, and algorithmic problem-solving with Python.
Validated skill in writing complex SQL queries, database joins, subqueries, aggregation functions, and statistical reporting.
Practical tasks simulating data analytics consultant workflows, focusing on data preparation, dashboard storytelling, and presentation delivery.
Comprehensive training in Power BI dashboards, advanced SQL query design, database normalizations, and spreadsheet modeling.
Awards & Achievements
Highlights of my technical session invitations, coding rankings, and hackathons.
AI/ML Speaker
Invited to lead a technical speaker session covering introductory ML concepts, attended by over 100 students.
1st Prize — Shark Tank
Won first place at the Gravitation 2024 Shark Tank Event organized at Sagar Institute (SIRT), Bhopal.
Best Event Coordinator
Managed, organized, and coordinated more than 25 technical and cultural college events.
Tech-Sageathon Hackathon
Participated in the National Tech-Sageathon Hackathon building collaborative web solutions.
3-Star CodeChef Coder
Active competitive programmer solving over 200 coding problems across LeetCode, CodeChef, and GFG.
Storytelling Event Winner
Winner of the inter-collegiate storytelling event demonstrating public speaking and communication skills.
Let's Connect & Collaborate
Fill out the contact form below, or reach out through my direct coordinate links.