Data Analytics | Data Science | Business Intelligence

Mayank Joshi

I build data-driven solutions using Python, SQL, and Machine Learning to solve real-world problems.

From healthcare systems like MediScan to career analytics engines, my work focuses on combining machine learning with real-world usability and decision-making.

Core Area Applied Data Science
Strength Analytics + Storytelling
Current Focus ML Projects That Ship
Portrait of Mayank Joshi
Your photo Add `assets/profile.jpg`

A short introduction to how I think, build, and communicate with data.

Who I Am

I am a data science enthusiast focused on solving real-world problems using data. I work across data cleaning, analysis, machine learning, and deployment to build complete systems.

What I Bring

I build end-to-end projects in healthcare, HR analytics, sustainability, and career readiness. My focus is not just models, but creating systems that provide actionable insights and real user value.

My academic journey and focus areas in technology and data science.

2022 – 2026

B.Tech in Information Technology

Sushila Devi Bansal College of Technology

Current CGPA: 6.79 | Final Year (8th Semester)

Focus: Machine Learning, Data Analysis, and Real-World Project Development

2020 – 2022

Higher Secondary (12th - MP Board)

Guru Kripa High Secondary School, Ghatabillodhar

Percentage: 67.4%

Learning Focus

Practical Skill Development

Focused on building real-world projects in healthcare, HR analytics, and sustainability, along with hands-on experience in machine learning, data analysis, and deployment.

A recruiter-friendly snapshot of the work, tools, links, and deployment status for each build.

Healthcare ML Live App

MediScan

ML-powered healthcare system that predicts diseases from symptoms, provides severity-based guidance, and suggests nearby hospitals.

Python Scikit-learn Streamlit
Career Analytics In Progress

Placement Readiness Engine

ML-based system that evaluates student readiness using clustering and generates personalized career insights and improvement plans.

Python EDA Recommendation Logic
Sustainability Case Study

CO₂ Emission Forecasting

Time-series forecasting project analyzing global CO₂ trends using machine learning and recursive vs direct prediction strategies.

Python Pandas Visualization
]
HR Intelligence Ready Demo

HR Attrition Prediction System

Machine learning system that predicts employee attrition and provides insights to reduce workforce turnover.

Tableau Excel Dashboard Design
More Projects
Forecasting Concept

Sales Forecast Studio

Space for a forecasting project featuring trend modeling, business KPIs, and interactive scenario planning.

Time Series Python Business Insight
Customer Analytics Concept

Customer Churn Explorer

Placeholder card for a churn prediction or segmentation project with metrics, model interpretation, and retention strategy.

Classification SQL BI Reporting

A toolkit for analysis, experimentation, dashboards, and communicating insights clearly.

Programming

Python, SQL, HTML, CSS

Data Analysis

Pandas, NumPy, Excel, data cleaning, feature engineering, exploratory data analysis (EDA)

Visualization

Matplotlib, Seaborn, Tableau, data visualization, dashboard design, insight communication

Machine Learning

Scikit-learn, Statsmodels, SciPy, classification, regression, model evaluation

Tools

GitHub, VS Code, Streamlit, Flask, Jupyter Notebook

Soft Skills

Problem solving, data storytelling, analytical thinking, communication

Courses and certifications that support my data science and machine learning journey.

Completed Certifications

  • Python for Data Science – Great Learning
  • Data Cleaning using Pandas – Great Learning

Ongoing Learning

  • Complete Data Science Bootcamp 2026 – Unacademy
  • Data, Data, Everywhere – Google (Coursera)
  • Supervised Machine Learning – Andrew Ng (Coursera)

A direct path for recruiters who want a quick downloadable summary.

Download my resume to learn more about my experience, projects, and technical skills.

Download Resume

A clean final section for recruiters, collaborators, and hiring teams to reach out.