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Amit Mutyalwar

@amitmutyalwar

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Data scientist delivering predictive ML solutions with Python, SQL, and deployed apps on Streamlit/AWS.

Zimbabwe

Message

What I'm looking for

I’m seeking a Data Scientist or Data Analyst role where I can deliver data-driven business impact—building predictive models, performing EDA, and deploying ML solutions using Python, SQL, Streamlit, and AWS.

I’m a motivated Data Science professional with hands-on experience in Python, SQL, machine learning, and real-world data analysis. I build predictive models and perform EDA, then deploy practical ML solutions using Streamlit and AWS.

I’m certified by GUVI (HCL) and NIELIT (Govt. of India), and I enjoy turning messy data into clear, decision-ready insights. I work with full modeling workflows—feature engineering, hyperparameter tuning, and evaluation using metrics like ROC-AUC, F1-Score, and AUC-ROC.

In my projects, I’ve delivered end-to-end solutions such as Tesla stock time-series forecasting with LSTM on AWS EC2, and Heart Disease prediction deployed via Streamlit. I’m also passionate about analytics and clustering, from Netflix content segmentation to ride-demand dashboarding, and I was shortlisted in AI for Good Hackathon 2025 (Microsoft & Blend360).

Experience

Work history, roles, and key accomplishments

Current

Data Science Trainee

Current

GUVI (HCL Certified Program)

Jan 2025 - Present (1 year 6 months)

Worked on 6+ real-world datasets using Python, SQL, and machine learning to solve business problems. Built predictive models, clustering systems, and time-series forecasters with EDA and dashboarding, and was shortlisted for AI for Good Hackathon 2025 for an AI solution supporting thalassemia patients.

Python SQL Machine Learning predictive modeling EDA Clustering Time Series Data Visualization Dashboarding Streamlit AWS

Education

Degrees, certifications, and relevant coursework

Dr. J.J. Magdum College of Engineering

Bachelor of Engineering, Electronics & Telecommunication

Grade: First Class

Earned a Bachelor of Engineering in Electronics & Telecommunication (first class). Relevant coursework included Statistical Analysis, Machine Learning, Data Mining, Database Systems, Predictive Modeling, and Business Intelligence.