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amrit_dhami

Amrit Dhami

@amrit_dhami

Entry level Data Scientist

Nepal
Engels, Nepalees, Hindi
Sommige informatie wordt in het Engels weergegeven.
Over mij
Struggling with messy, unusable data? I quickly clean, organize, and analyze your data so you get clear insights and make smarter decisions—without the confusion. ✔ Fix messy datasets ✔ Extract valuable insights ✔ Create clear reports & visuals ✔ Build simple predictive models Tools: Python (Pandas, Scikit-learn), Excel Fast, accurate, and reliable results—no guesswork. Message me now and let’s fix your data today.... Lees meer

Skills

a
amrit_dhami
Amrit Dhami
offline • 

Bekijk mijn diensten

Gegevens opschonen
I will clean, analyze and visualize data using python
VanafUS$ 15 / projectMeer informatie
Gegevens opschonen
I will do data analysis using python, pandas, numpy, and sql
VanafUS$ 20 / projectMeer informatie

Portfolio

Werkervaring

CodersTrust_Bangladesh

Data Science Intern | Code IT

CodersTrust Bangladesh

Jan 2026 - Present • 6 mos

Data Science Intern | Code IT Completed a hands-on internship focused on real-world data science applications using Python. Key Responsibilities & Achievements: • Cleaned and preprocessed raw datasets by handling missing values, duplicates, and inconsistent formatting • Performed exploratory data analysis (EDA) to extract meaningful insights and identify data patterns • Created data visualizations to support clear interpretation and decision-making • Applied basic machine learning techniques for regression and classification tasks Data Science Trainee | Swivt Education (1 Year) Underwent structured training in Data Science and Artificial Intelligence using Python, focusing on practical implementation. Key Learning Areas: • Data analysis and visualization using Python libraries • Data cleaning and preprocessing techniques • Machine learning fundamentals (supervised learning) • Real-world project-based learning approach Data Science Training | Code IT (3 Months) & Volve IT HUB Nepal Strengthened practical skills in Python-based data science, focusing on hands-on exercises and mini-projects involving data analysis and preprocessing. Tools & Technologies: Python, Pandas, NumPy, Scikit-learn, Microsoft Excel