"Turning Data into Decisions with Python & AI."
I am a passionate Data Scientist & Deep Learning Engineer with hands-on experience in Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Matplotlib, Seaborn, and Streamlit. I specialize in data analysis, visualization, machine learning, and deep learning, turning raw data into actionable insights and intelligent solutions.
I have experience in:
Data Analysis & Visualization: Cleaning, exploring, and visualizing datasets to identify trends, patterns, and insights using Pandas, NumPy, Matplotlib, and Seaborn.
Machine Learning: Building predictive models with Scikit-learn for regression, classification, and clustering tasks.
Deep Learning: Designing and training neural networks using TensorFlow and PyTorch for image recognition, computer vision, and classification problems.
Web App Deployment: Creating interactive applications and dashboards using Streamlit to showcase models and analytics in real-time.
Project Experience: From classic datasets like Fashion MNIST to real vs fake face detection models, I build end-to-end ML/DL solutions with high accuracy and efficiency.
I am driven by the goal to turn data into knowledge and intelligent solutions, helping businesses and individuals make informed, data-driven decisions.
Skills: Python | Pandas | NumPy | Scikit-learn | TensorFlow | PyTorch | Matplotlib | Seaborn | Streamlit | Machine Learning | Deep Learning | Data Analysis | Data Visualization | Model Deployment
Work Terms
Monday to Saturday: 10:00 AM – 8:00 PM (Your Local Time)
Flexible hours available for urgent projects or international clients
Communication:
Preferred channels: Guru messages, WhatsApp
Response time: usually within 1–2 hours
Payment Terms:
50% upfront for project-based work, remaining 50% upon delivery
Hourly projects billed weekly or after completion of agreed hours
Payments via Guru payment system, PayPal, or bank transfer
Revisions:
2–3 rounds of revisions included per project
Additional changes can be discussed separately