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Analyzing
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Analyzing
  • University_Of_Toronto
  • Toronto, ON, CA

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RoshniRanaDS27/README.md

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Hi 👋, I'm Roshni

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  • 🔭 Passionate data Scientist in Training
  • 👩‍💻 Fueled by coding and machine learning.
  • 🌱 Enhancing skills in NLP and Deep Learning.
  • 👯 Eager to collaborate on impactful data science projects.
  • 💬 Curious about DA, .Py, ML algorithms and AI models.
  • 📝 Explore my Website to see my latest work and insights.
  • 📫 You can reach me: roshni.rana27.py@gmail.com
Coding

🏆 GitHub Trophies

GitHub Trophies

Connect with Me

LinkedIn Instagram Website

Technical Expertice and Tools

Languages:

Python3 SQL HTML CSS JAVA R PL/SQL
Python SQL HTML CSS JAVA R PL

Best frameworks and main libraries for Python3:

TensorFlow Scikit-learn PyTorch Selenium Numpy Pandas Keras OpenCV
TensorFlow sklearn Pytorch Selenium Numpy Pandas keras mpl

Data Visualization:

Power-BI tableau Flask-API Dash keras SeaBorn Plotly Matplotlib Excel GeoPandas Stremlit Looker
Powerbi Tableau flask dash kera sea PL mat excel geo lit look

My tools for Data Manipulation, Transformation & DataBase Management

Conda Jupyter Spark MySQL Postgres SQLite Visual Studio JIRA Colab Rally MongoDB git
Conda Jupiter Spark MySQL pg SQLite VS JIRA COLAB mongo mongo Git

Cloud Plateforms:

Amazon Web Services Google Cloud Platform Oracle Azure
aws Gc OC pytest

Methodologies:

Waterfall Agile CRISP-DM KDP Supervised Learning Unsupervised Learning Reinforcement Learning EDA Statistical Analysis Hypothesis Testing
Linear approach Iterative approach Data mining process Knowledge Discovery Process Labeled data training Hidden patterns discovery Decision making with rewards Data exploration Statistical methods Testing hypotheses

Data Analysis Flow:

Data Collection Data Quality Assurance Data Validation Data Cleansing Data Verification Data Modeling Data Engineering Exploratory Data Analysis Visualization Advanced Analytics Statistical Analysis Trend Monitoring Geographic Trend Tracking Data Science Research Methods Search Engine Optimization (SEO) ERD ML Model Dashboard
Gathering data Ensuring data integrity Checking data accuracy Cleaning data Confirming data accuracy Designing data structures Developing data systems Analyzing data patterns Creating charts and graphs Complex data analysis Statistical techniques Monitoring trends over time Tracking geographic trends Research methods in data science Optimizing search engine performance Entity-Relationship Diagrams Dashboards for ML model performance

Data Modeling:

ER Diagrams Normalization Schema Design Data Mapping Mapping Tools Data Structures
Creating diagrams to represent data relationships Organizing data to reduce redundancy Designing the structure of a database Linking data elements Tools for mapping data Defining data organization

Advanced Analytics:

Statistical Analysis Trend Analysis Data Mining Regression Analysis Hypothesis Testing Predictive Analytics
Analyzing data using statistical methods Analyzing data trends over time Discovering patterns in data Assessing relationships between variables Testing hypotheses with statistical methods Making predictions based on data

Machine Learning and Data Mining:

Predictive Modeling Clustering Classification Data Mining Techniques Algorithm Development Deep Learning Neural Networks Model Testing: Regression Web Development Dashboard
Creating models to predict outcomes Grouping data Categorizing data Techniques for data extraction Developing algorithms Advanced ML techniques Building and training neural networks Evaluating models with Regression Building and integrating dashboards for web applications


snake

My Data Science Hobbies are ❤️


"Cheers to intelligence 💡, Proudly lifting up AI 🤖 , Honoring science 🧬, algorithms and the brilliant minds behind the code. 🚀🧠
Keep exploring 🔍!! , Embrace the journey, stay curious, and let's achieve 🏆 greatness together!" ✨ 🌍


gif

if you like what i do, maybe consider buying me a coffee/tea 🥺👉👈

Buy Me A Coffee

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