プロフィール詳細

プロジェクトを作成

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Neerja J.に依頼

Canada

Data science Online Instructor / Data science Course Creator

プロフィール概要

Hello, I am Neerja Jhingan, I am IBM Data Science Professional Certified, specializing in the Data Science. I have earned the Golden Badge #Rank1 in Python and SQL from HackerRank. Presently teaching on YouTube Channel -Brainy Data Science. Apart from this, I create e-learning courses as well for online tutoring and also prepare guideline and curriculum as per the requirement in Data Science and Other topics. During my 7 years in web development and 3 years in Data Science, I taught Data Science, programming in Python, experimental Data Science Projects, and received extensive training in academic writing, presenting, and project management. I created homework assignments and quizzes biweekly review sessions for 1-15 students, and helped students design and carry out Data Science projects. I love working 1-on-1 (or in small groups) because I love connecting with people, and helping to guide and ease your process, whether you're learning for school, or working independently. I ESPECIALLY love tutoring statistics, because it's often so painful to learn, and it doesn't have to be!! (Really, I promise...) I have the patience, expertise, and passion to help every learner move on to the next stage of their education or career. Contact me today! Together we can master anything. Projects Completed in Data Science 1. Covid-19 Data Analysis Image Preprocessing using Keras and Tensorflow 2. Meal consumption in flights Analysis using XGBoost and Grid Search CV. 3. Sentiment Analysis using NLP, predict total positive and negative sentiments using survey dataset. 4. Titanic: Machine Learning from Disaster - Kaggle - Top 9% Challenge : To build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc). Result : I used the stack-bar plot for visualization and used the Random Forest Algorithm to predict the count of survived people onto the Titanic and got 84% accuracy. 5. Prediction of House Prices: Advanced Regression Techniques - Kaggle Challenge : Predict the House Prices based on given features of House. Result : Analyze the features of DataSet using the Heatmap, detect the Kurtosis and Skewness and made it normalization using the log transformation. Applied the XGBoost Algorithmand go 91.34% accuracy. 6. Predict Employee Performance Cause - 95.8% accuracy using Random Classifier Model Challenge : Predict the main causes of low performance of Employee Result : Perform the visualization using the barplot and histogram and convert the categorical data into the dummy variables to fit the train data into the model. Fit the model using Random Classifier model and got 95.8% accuracy. 7. Predict Future Sales - ARIMA model for forecasting the predictions - Kaggle Used the Average Moving and Dickey Fuller Test to check if Data is stationary or not. Then applied AR and MA , ARIMA model by removing trends and seasonality from the Data.

専門分野

• ★ Python
• ☆ Data Science
• ☆ Data Visualization
• ☆ Machine Learning

サービス

• Writing
• Research
• Data & AI

Writing Technical Writing

Research Market Research

Data & AI Statistical Analysis, Data Visualization, Data Processing, Data Insights

職務経験

Teaching and online content development

Freelancer

1月 2019 - 現在

Business data Analyst

C19-worldnews.com

1月 2018 - 現在

学歴

M.Sc (Master of Science)

Punjab Engineering College

1月 2004 - 1月 2006

認定資格

• IBM Data Science Professional Certified

  coursera

  1月 2019 - 現在