Codebasics

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Machine Learning Projects

About Me

I am a dedicated Machine Learning practitioner with a Bachelor of Technology in Computer Science. I have completed over 360+ hours of rigorous AI and Data Science training, focusing on practical applications of machine learning to solve real-world problems.

🔧 Tools & Technologies:

Proficient in Python, SQL, TensorFlow, and scikit-learn.

Experience in data processing, model development, and pipeline automation.

Applied my skills in healthcare analytics and credit risk modeling projects during internships and virtual training programs.

🎯 Expertise & Project Domains:
★ Specialize in supervised learning, classification models, and explainability using SHAP.
★ Key domains include healthcare, finance, and predictive analytics.
★ Built end-to-end machine learning pipelines with scalable deployment readiness.

🚀 Conclusion:
I am committed to continuous learning and delivering data-driven solutions that drive innovation.
Let’s connect to explore exciting opportunities!

Key Skills

Python

Machine Learning : Pytorch , Scikit-Learn , Tensorflow

Web Development :Django, FAST API, Streamlit, HTML/CSS

SQL

My Projects

Credit Risk Prediction Model
Credit Risk Prediction Model

Domain/Function: Finance

EEG_Epilepsy_Classification
EEG_Epilepsy_Classification

Domain/Function: Healthcare

My Experience

MedTourEasy

Remote

Data Analyst Trainee (Internship)

Aug 2023 - Sep 2023

  • Conducted data-driven research on healthcare datasets of 10,000+ records during MedTourEasy internship to generate actionable insights.
  • Led the "Handedness and Mortality Analysis" project utilizing 5,000+ mortality records from National Geographic.
  • Applied Python libraries (NumPy, Pandas, Matplotlib) for data cleaning, exploratory analysis, visualization, and statistical modeling.
  • Calculated conditional probabilities showing a statistically significant 1.6-year average lifespan difference between left- and right-handed individuals (p < 0.05).
  • Collaborated with cross-functional teams to improve healthcare data reporting accuracy by 15%, enhancing data interpretation and decision-making.

Skills: Python (Pandas, Numpy, Seaborn, Matplotlib), Statistics (Probability), Exploratory Data Analysis

Pyspiders

Thane

Software Development Trainee (Full-Time)

Jun 2023 - Mar 2024

  • Completed 360+ hours of comprehensive training in Python, SQL, SDLC, and Django, including applied coding exercises and project development.
  • Built and deployed 3 full-stack projects utilizing Python, Django framework, and front-end technologies like HTML and CSS.
  • Participated in 10+ mock technical interviews and coding assessments in Python and SQL, improving problem-solving skills.
  • Gained expertise in SDLC processes, version control with Git, and Agile collaboration for efficient project delivery.
  • Integrated SQL databases seamlessly in web applications to ensure reliable data handling and storage.

Skills: Python (OOPs, Django, REST, Data Manipulation, Data Visualization, Tensorflow, Git/Github), SQL, HTML / CSS, SDLC

Awards & Certificate

CB Cert

Python: Beginner to Advanced For Data Professionals

CB Cert

SQL for Data Science

CB Cert

Math and Statistics For AI, Data Science

CB Cert

Master Machine Learning for Data Science & AI: Beginner to Advanced

Let's Connect

Feel free to get in touch with me. I am always open to discussing new projects, creative ideas or opportunities to be part of your visions.

Download Resume

Resume