A glimpse of analytics projects worked on open data...
Recommending an ideal portfolio of blue-chip shares
Recommended an ideal investment portfolio consisting of large-cap blue-chip shares with an investment portfolio size is 1Cr and maximum exposure of 30% to any single share. The top 10 stocks were selected and the portfolio was optimized by measuring the highest average daily returns of shares.
Skills & Tools: Financial Analytics, Risk Analytics, R
Built a Machine learning model to predict the choice of shipping logistics company
Built a model that predicts the best suitable shipping mode for transporting manufactured goods to the customer.
Skills & Tools: Predictive Modeling, Machine Learning, R
Built a Machine learning model to predict the choice of transport for a company's employees
Analyzed the employee database of a firm with around 500 employees. Built a Machine learning model that best explained the employee's decision to use a specific medium as his/her main means of transport.
Skills & Tools: Predictive Modeling, Machine Learning, R
Built a forecasting model to predict monthly sales for the next 2 years
Analyzed historical sales data of a company. Developed multiple forecast models (Winter-Holts, ARIMA) and recommended the optimum one to predict sales for the next 2 years.
Skills & Tools: Time Series Analysis, ARIMA, Holt-Winters Method, R
Built a forecasting model to predict monthly gas production for the next 1 year
The project involved developing an ARIMA model to forecast the monthly Australian gas production level for the next 12 months.
Skills & Tools: ARIMA, Time Series Analysis, R
Performed Brand perception analysis using text mining on Twitter data
Brand perception of a multi-national organization was analyzed by extracting Twitter mentions for the brand and conducting text mining (Correlation, Frequency, Topic Modelling, Sentiment Analysis) on it.
Skills & Tools: Text Mining, Social Media Analytics, Sentiment Analysis, R
Market Basket Analysis of 1000 grocery receipts
Market Basket Analysis was conducted on 1000 grocery receipts to understand what goods can be bundled and what types of promotions or discounts can be offered on the products either online or at the retail store.
Skills & Tools: Association Analysis, Marketing Analytics, Market Basket Analysis, R
Neural Network model on Employee Attrition
The project investigates the factors that cause employee attrition in organizations. An Employee attrition model was built using a moderate Neural Network Model and Random Forest. After generating common performance parameters for both the models and Ensemble Model was created that identified the cause of employee attrition.
Skills & Tools: Neural Networks, CART, Data Mining, R
Built a logistic regression model to predict customer churn in the Telecom industry
The primary objective was to investigate the parameters contributing to customer churn (attrition) in the Telecom Industry. A Logistic Regression Model was developed and validated with test data to predict customer churn.
Skills & Tools: Logistic Regression, Predictive Modeling, R
Recommending a standard list of medicines for drug store
Analyzed drug reviews data and created a standard list of medicines for an independent startup pharmacy. Studied the opinions on drugs based on reviews to understand if the opinions are impacting usage.
Skills & Tools: Clustering, Opinion Mining, R, Tableau, Excel
Estimate annual sales of All Greens Franchise
Make an equation for estimating annual sales of All Greens Franchise by using Principal Component Analysis.
Skills & Tools: PCA, Advanced Statistics, Analytics, R
Estimate the market value of property in the next six months
Has estimated the price of Leslie Salt property within the next 6 months when there are no flood effects by understanding the variables and building a linear regression model.
Skills & Tools: Regression, Advanced Statistics, Analytics, R
Factor Analysis on Consumer Perception towards Cereal Brands
Consumer perceptions towards a brand can be built on various parameters depending upon the product. This project uses factor analysis to evaluate and identify the most significant attributes that contribute towards the consumer perception of the different cereal brands.
Skills & Tools: Factor Analysis, Advanced Statistics, Analytics, R
Integer Programming to optimize costs
Developed a production plan with constraints and uncertainties for 6 months to optimize cost and labor shifts to meet the given demand using the Integer Programming model. The objective of the problem is to avoid stockouts under various demand conditions with minimum production costs.
Skills & Tools: Optimization Techniques, Integer Programming, Excel
Linear Programming to maximize profits
Developed a production plan for a manufacturing company with constraints and uncertainties for the next 12 months. The plan has been developed for increasing contribution between two production units in a way that overall profit will increase by reducing freight costs. Analysis has been performed to understand if decisions, like purchasing new equipment and giving early bird offers to customers, can increase profits.
Skills & Tools: Optimization Techniques, Linear Programming, Excel
Visualizing Art House sales data
This project explored the art of problem-solving with the aid of visual analytics. Tableau’s data visualization tools were used to create interactive dashboards to uncover hidden insights to identify the performance of an Art Auction House in terms of profitability and sales.
Skills & Tools: Data Visualization, data analysis, dashboard, Tableau
Visualizing House Sales for Boston Real Estate
This project explored the art of problem-solving with the aid of visual analytics to identify properties of sale and factors affecting it. Tableau’s data visualization tools were used to create interactive dashboards to uncover hidden insights for sellers of the properties as well as prospective buyers.
Skills & Tools: Data Visualization, dashboard, Business Intelligence, Tableau
Evaluated the impact of a sales incentive scheme at Titan Insurance Company
This project used Hypothesis Testing and visualization to evaluate the success of a new sales incentive payment scheme at Titan Insurance company.
Skills & Tools: Statistical Inference, Hypothesis Testing, R
And more...