Portfolio of my data analytics assignments completed by me for Academic purposes.

1. Analysis of mobile phone usage in Australia:

• Applied Confidence interval, hypothesis testing
• Manipulate and summarize data, appraise statistical output, interpret
• Perform descriptive statistics (summary measures, plots & suitable charts, or graphics, perform confidence interval, hypothesis test
• Use contemporary data analysis &visualization tools and recognize
• Apply quantitative reasoning skills to solve complex problems
• Include commentary on the user’s expenditure, usages, patterns, satisfaction levels and demographic, social media engagement

2. Mad Dog Craft Beer Sales Analysis:

• Conducted predictive analysis of beer data and gave recommendations to improve sales from the historic data.
• Performed basic statistic operations, outlier analysis tests, linear regression, and logistic regression in Excel.
• Developed proposals on where to put effort and money to improve perceptions of product quality and brand image so as to increase the probability of being recommended.

3. Sony Dashboard:

• Created interactive dashboard using Sony Dataset for a upcoming online marketing campaign.
• Insightful data-driven decision making with website
• Using Dynamic filters for performing actions in the graph
• Make interactive for visually appealing effects
• Analyzed Profits & Sales for different types of movies

Analysis of Wine Dataset:

• Develop a data mining method of classifying imported wine based on price.
• Create a wine origin and marketability
• Best source of wine and optimum price rating ratio.
• Clean-up and explore wine tasting data. Create models like k-nn, naïve Bayes, decision trees.
• Develop a method of estimating rating (points) of wines based on their text attributes.
• Create different models for structured text, unstructured text and mix of structured and unstructured text.
• Create a deployment process.

1. Face Recognition:

2. Word2Vec Model:

1. BBC Dataset:

2. Breast Cancer Classification:

• To predict whether a cancer is benign or malignant.
• Developed an algorithm that uses SVM to accurately predict (~97 percent accuracy) if a breast cancer tumor is benign or malignant, basically teaching a machine to predict breast cancer.

3. Human-Activity-Recognition-Using-Smartphones:

• Predict a person’s actions based on a trace of their movement using sensors.
• Applied supervised learning algorithms such as K-Nearest Neighbor Classification, Multiclass Logistic Regression with Elastic Net, Support Vector Machine (RBF Kernel), and Random Forest.
• Optimized the best candidate model by hyper-parameter tuning using Grid Search and Cross-Validation; trained a random forest to predict with 99% accuracy.

1. Cambridge Analytic and Facebook Studies:

• Develop a privacy & security issues reporting relation to Cambridge analytical and Facebook situation.
• Provide risks, recognize and apply the relevance Ethical, Regulatory And Governance Issues In Victoria.

2. Dumnonia Corporation:

• Implementation of K-Anonymity as a Model for Protecting Privacy For an organization.
• Implementation of cloud technology.
• Provide technological solutions.

Energy-Efficiency-for-Building-in-R: Analysis of Energy Efficiency Dataset for Building in R

1. SQL Query:

2. Retreival:

IT Portfolio of Gap Inc.:

• Make IT portfolio and business case of gap inc.
• Identify it assets and business value,returns,risks
• Apply RBV and competive advantage over the firm

1. Wine Review Analysis:

2. Banking-Marketing-Campaign-with-Spark:

1. Price and Promotion Analytics of Carman's Kitchen:

2. Conjoint Analysis of Sony Curved Telivision:

1. British Petroleum:

1. Assignment-1:

2. Assignment-2:

MIT

If you find any mistakes or you can't figure out something, raise a question. I will get back to you as soon as possible. If you liked what you saw, want to have a chat with me about the portfolio, work opportunities, or collaboration, shoot an email at [email protected]