Sourajit Dey

TechFnatic

Data Scientist

June 13, 2026 – Present

Assignments-Hypothesis-Testing-LabTAT

February 9, 2022 – February 9, 2022

A hospital wants to determine whether there is any difference in the average Turn Around Time (TAT) of reports of the laboratories on their preferred list. They collected a random sample and recorded TAT for reports of 4 laboratories. TAT is defined as sample collected to report dispatch. Analyze the data and determine whether there is any difference in average TAT among the different laboratories at 5% significance level.

Assignments-Hypothesis-Testing-Cutlets

February 5, 2022 – February 5, 2022

A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validity of the assumptions.

Assignments-Hypothesis-Testing-BuyerRatio

January 30, 2022 – January 30, 2022

Sales of products in four different regions is tabulated for males and females. Find if male-female buyer rations are similar across regions.

Assignments-Neural-Networks-Gas-Turbines

January 29, 2022 – January 29, 2022

The dataset contains 36733 instances of 11 sensor measures aggregated over one hour (by means of average or sum) from a gas turbine. The Dataset includes gas turbine parameters (such as Turbine Inlet Temperature and Compressor Discharge pressure) in addition to the ambient variables. Problem statement: predicting turbine energy yield (TEY) using ambient variables as features. Attribute Information: The explanations of sensor measurements and their brief statistics are given below. Variable (Abbr.) Unit Min Max Mean Ambient temperature (AT) C –6.23 37.10 17.71 Ambient pressure (AP) mbar 985.85 1036.56 1013.07 Ambient humidity (AH) (%) 24.08 100.20 77.87 Air filter difference pressure (AFDP) mbar 2.09 7.61 3.93 Gas turbine exhaust pressure (GTEP) mbar 17.70 40.72 25.56 Turbine inlet temperature (TIT) C 1000.85 1100.89 1081.43 Turbine after temperature (TAT) C 511.04 550.61 546.16 Compressor discharge pressure (CDP) mbar 9.85 15.16 12.06 Turbine energy yield (TEY) MWH 100.02 179.50 133.

Assignments-Neural_Networks-forestfires

January 28, 2022 – January 28, 2022

PREDICT THE BURNED AREA OF FOREST FIRES WITH NEURAL NETWORKS

Assignments-Forecasting-Coca_cola_Sales_Rawdata

January 27, 2022 – January 27, 2022

Forecast the CocaCola prices data set. Prepare a document for each model explaining how many dummy variables you have created and RMSE value for each model. Finally which model you will use for Forecasting.

Assignments-Forecasting-Airlines-Data

January 25, 2022 – January 25, 2022

Forecast Airlines Passengers data set. Prepare a document for each model explaining how many dummy variables you have created and RMSE value for each model. Finally which model you will use for Forecasting

Assignments-Text-Mining-Elon_musk

January 24, 2022 – January 24, 2022

For Text Mining assignment ONE: 1) Perform sentimental analysis on the Elon-musk tweets (Exlon-musk.csv) TWO: 1) Extract reviews of any product from ecommerce website like amazon 2) Perform emotion mining

Assignment-Decision_Tree-company_data

January 14, 2022 – January 14, 2022

Assignment About the data: Let’s consider a Company dataset with around 10 variables and 400 records. The attributes are as follows: Sales -- Unit sales (in thousands) at each location Competitor Price -- Price charged by competitor at each location Income -- Community income level (in thousands of dollars) Advertising -- Local advertising budget for company at each location (in thousands of dollars) Population -- Population size in region (in thousands) Price -- Price company charges for car seats at each site Shelf Location at stores -- A factor with levels Bad, Good and Medium indicating the quality of the shelving location for the car seats at each site Age -- Average age of the local population Education -- Education level at each location Urban -- A factor with levels No and Yes to indicate whether the store is in an urban or rural location US -- A factor with levels No and Yes to indicate whether the store is in the US or not The company dataset looks like this: Problem Statemen

Assignment-Association-Rules-Books

January 7, 2022 – January 7, 2022

Association-Rules-Data-Mining-Books. Apriori Algorithm, Association rules with 10% Support and 70% confidence, Association rules with 20% Support and 60% confidence, Association rules with 5% Support and 80% confidence, visualization of obtained rule.