Manjusha U.

Wakad, Pune, India - 411027

Manjusha U. photo

Manjusha U.

Freelance Data Scientist

Wakad, Pune, India - 411027.

5.0

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Overview

I have 8 years of experience in working in IT industry and 3 years specifically in to analytics. My skills include R, SAS, SSRS, statistical modelling,Tableau. I have helped clients in retail, telecom BFSI domains to extract valuable insights from their data. Additionally I have done PG in business analytics from great lakes institute of management where the training included the full life cycle of analytics project starting from understanding business problem and converting it to statistical problem statement and extracting and cleaning data, deciding the modeling technique to be used and final presentation of result to the business.

Languages Spoken

Malayalam Mother Tongue (Native)

Hindi Proficient

English Proficient

Education

Calicut University 2003

Bachelor of Technology (B.Tech.)

Great lakes institute of Management 2018

PGP Business Analytics and Business intelligence

Address

Wakad, Pune, India - 411027

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Data Science Classes Overview

Data Science Classes

Class Location

Student's Home

Tutor's Home

Online (video chat via skype, google hangout etc)

Years of Experience in Data Science Classes

1

Data science techniques

Machine learning, Python

Teaching Experience in detail in Data Science Classes

Topics covered: Data Science using Python STATISTICS • Statistical analysis concepts • Descriptive statistics • Introduction to probability and Bayes theorem • Probability distributions • Hypothesis testing & scores (All exercises done using Python) PYTHON FOR DATA SCIENCE • Python Overview • Pandas for Pre-Processing and Exploratory Data Analysis • Numpy for Statistical Analysis • Matplotlib , Seaborn for Data Visualization • Scikit-Learn • Scipy SUPERVISED LEARNING • Introduction to Machine Learning • Supervised Learning concepts • Linear Regression • Logistic Regression • K-NN Classi?cation • Naïve Bayesian classi?ers • SVM - Support Vector Machines • Hands-on project using Python UNSUPERVISED LEARNING • Unsupervised Learning concepts • Clustering approaches • K Means clustering • Hierarchical clustering ENSEMBLE TECHNIQUES • Decision Tree • Introduction to Ensemble Learning • Different Ensemble Learning Techniques • Bagging • Boosting • Random Forests • Stacking • Hands-on project using Python • PCA (Principal Component Analysis) and its applications FEATURIZATION, MODEL SELECTION & TUNING • Text Analytics • Feature extraction • Model Defects & Evaluation Metrics • Model selection and tuning • Comparison of Machine Learning models RECOMMENDATION SYSTEMS • Introduction to Recommendation Systems • Types of Recommendation techniques • Collaborative Filtering • Content based Filtering • Hybrid RS • Case Study • Performance measurement • Hands-on project using Python Datasets will be given to practice topics covered. 1 hr class per day on weekdays. 4 months to cover the entire course. Content and timing can be customized as per requirement

Courses in Data Science Classes

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Manjusha U.Directions

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Data Science Classes 5.0

Class Location

Student's Home

Tutor's Home

Online (video chat via skype, google hangout etc)

Years of Experience in Data Science Classes

1

Data science techniques

Machine learning, Python

Teaching Experience in detail in Data Science Classes

Topics covered: Data Science using Python STATISTICS • Statistical analysis concepts • Descriptive statistics • Introduction to probability and Bayes theorem • Probability distributions • Hypothesis testing & scores (All exercises done using Python) PYTHON FOR DATA SCIENCE • Python Overview • Pandas for Pre-Processing and Exploratory Data Analysis • Numpy for Statistical Analysis • Matplotlib , Seaborn for Data Visualization • Scikit-Learn • Scipy SUPERVISED LEARNING • Introduction to Machine Learning • Supervised Learning concepts • Linear Regression • Logistic Regression • K-NN Classi?cation • Naïve Bayesian classi?ers • SVM - Support Vector Machines • Hands-on project using Python UNSUPERVISED LEARNING • Unsupervised Learning concepts • Clustering approaches • K Means clustering • Hierarchical clustering ENSEMBLE TECHNIQUES • Decision Tree • Introduction to Ensemble Learning • Different Ensemble Learning Techniques • Bagging • Boosting • Random Forests • Stacking • Hands-on project using Python • PCA (Principal Component Analysis) and its applications FEATURIZATION, MODEL SELECTION & TUNING • Text Analytics • Feature extraction • Model Defects & Evaluation Metrics • Model selection and tuning • Comparison of Machine Learning models RECOMMENDATION SYSTEMS • Introduction to Recommendation Systems • Types of Recommendation techniques • Collaborative Filtering • Content based Filtering • Hybrid RS • Case Study • Performance measurement • Hands-on project using Python Datasets will be given to practice topics covered. 1 hr class per day on weekdays. 4 months to cover the entire course. Content and timing can be customized as per requirement

Courses in Data Science Classes

Data Analysis Classes 5.0

Class Location

Student's Home

Tutor's Home

Online (video chat via skype, google hangout etc)

Years of Experience in Data Analysis Classes

3

Data analysis concepts taught

Prediction Analytics, Regression Analysis

R Programming 5.0

Class Location

Student's Home

Tutor's Home

Online (video chat via skype, google hangout etc)

Years of Experience in R Programming

1

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Manjusha U. describes herself as Freelance Data Scientist. She conducts classes in Data Analysis, Data Science and R Programming. Manjusha is located in Wakad, Pune. Manjusha takes Online Classes- via online medium. She has 3 years of teaching experience . Manjusha has completed Bachelor of Technology (B.Tech.) from Calicut University in 2003 and PGP Business Analytics and Business intelligence from Great lakes institute of Management in 2018. She is well versed in Hindi, Malayalam and English.

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