Welcome to Rishav's GitHub Profile 👋

About Me

I’m currently pursuing B Tech in CSE(AI)

Highly motivated data analyst

Strong problem-solving skills

Experienced in data visualization

Committed to continuous learning

Proficient in leveraging analytical tools

Adept at driving data-driven decision-making

Projects 🚀

Project: Medical Image Analysis Model

Project Description: Developed a web application using Streamlit to analyze medical images.
Objective: The model takes MRI and X-ray images of the brain as input and detects conditions such as pneumonia, brain tumors, and brain strokes.
Technologies Used: Streamlit, Python, Machine Learning, Medical Imaging.
Responsibilities

Designed and implemented a user-friendly web interface with Streamlit.
Developed and trained machine learning models to accurately detect medical conditions from MRI and X-ray images.
Integrated the model with the web application for real-time analysis and results.
Conducted extensive testing and validation to ensure model accuracy and reliability.

Achievements:

Successfully identified and diagnosed medical conditions with high accuracy.
Provided a valuable tool for healthcare professionals to aid in early diagnosis and treatment planning.

Project: Marketing Campaign Performance Analysis

Description:Analyzed the effectiveness of various marketing campaigns by tracking key performance indicators (KPIs) and providing actionable insights to optimize future strategies. The project involved comprehensive data cleaning, exploratory data analysis, and visualization to uncover insights into campaign performance, audience engagement, and return on investment (ROI).
Objective:To evaluate and optimize the performance of marketing campaigns by analyzing key metrics, understanding audience behavior, and identifying effective strategies for different customer segments.
Technologies Used:

Python, Pandas, Numpy, Matplolib,
Seaborn, Scikit-learn, Jupyter Notebook

Responsibility:
- Imported and extracted datasets from zip files and performed initial data analysis to confirm the absence of missing values and identify categorical features.
- Cleaned and preprocessed data by analyzing individual columns and fixing data types, optimizing memory usage and efficiency.
- Conducted exploratory data analysis (EDA) to create visualizations and gain insights into campaign types, target audiences, channels used, and customer segments.
- Analyzed key metrics such as ROI and acquisition cost to evaluate the profitability and cost-efficiency of campaigns.
- Generated actionable insights to refine marketing strategies and optimize campaign performance based on data-driven findings.
Achievements:
- Successfully identified the most effective campaign types and channels, leading to more targeted and efficient marketing strategies.
- Provided detailed analysis of customer segments, allowing for personalized marketing campaigns that improved engagement and conversion rates.
- Enabled data-driven decision-making by providing clear and actionable insights into campaign performance and audience behavior.

Project: Credit Card Customer and Transaction Dashboards

Description: Developed comprehensive Power BI dashboards to visualize and analyze credit card customer data and transaction details.
Key Features:

Credit Card Customer Report: Highlights revenue metrics, demographic breakdowns, and usage patterns segmented by age, gender, income, marital status, and education.
Credit Card Transaction Report: Provides insights into transaction counts, quarterly revenue, customer segmentation, and card usage methods.
Skills Utilized: Data visualization, Power BI, data analysis, SQL, DAX.

Skills & Technologies 🛠️

Programming Languages: C,C++,Python

Web Development:Html, CSS, Javascript,

Data Analysis & Visualization: Power BI, Excel, Data Visualization, Data Analysis, Data Modeling

Artificial Intelligence: Beginner in AI

Machine Learning:Statistical Analysis, Understanding of algorithms such as linear regression,logistic regression, decision trees, random forests, Model Evaluation.

Version Control: Git & GitHub

Database Management: SQL, Postgre SQL

Visual Design:Adobe Photoshop, Canva

Microsoft Office: Proficient in Microsoft Office Suite

Cloud Services: Amazon Web Services

Mathematics: Proficient in statistical analysis, linear algebra, probability theory, calculus, and mathematical modelling.

Achievement

I recently completed a Kaggle competition "Titanic: Machine Learning from Disaster,achieving a score of 0.76794, and have uploaded my work to my GitHub profile.

Awarded a Certificate of Appreciation for significant contributions in developing a brain tumor detection model using YOLO and CNN during the AI/ML Hackathon 1.0 at Parul University.

I've achieved a score of 2700/3000 points in my recent Python skill test in Code Chef

I am actively involved in volunteering activities with the National Service Scheme (NSS) at my college campus, where I serve as the Technical Head.

I have completed Accenture North America's Data Analytics and Visualization simulation on Forage

I have completed J.P. Morgan's Software Engineering simulation on Forage

I have completed Goldman Sachs's Excel Skills for Business on Forage.

Connect with Me 🤝

Email: [email protected]

Address: Lucknow, Uttar-Pradesh

Github: Github ID

Linkedin: Linkdein ID

Let's collaborate and build amazing things together! 😊

rishavm003 Goto Github PK