Kiran Sahir

Intelligence analyst with 3 years of experience in analyzing data and assessing risks. Dedicated to collaborating across departments to create detailed intelligence reports. Skilled at putting together intelligence products, maintaining records and briefing leadership. Strong capability to adapt to new software and processes.

1st place at the Interstate 'Science and Engineering Fair

• The project involved the use of a synergistic extract of 'Alpha Linolenic Acid' from silkworm pupae and 'Lutein' from Marigold to create a 'Nutri Egg' that could potentially reduce blood sugar levels in the body and regulate blood fat

• Supervised Learning in R : Classification, Datacamp
• Intermediate SQL Queries, Datacamp
• Intermediate Python, Datacamp
• Introduction to DAX in Power BI certificate, Datacamp

• Topic Modelling and Sentiment Analysis

The study included the evaluation of sentiments from tweets during the  Super Bowl, the Oscars and the Grammy’s using Word cloud and In  Document Term Frequency (Tf-IDF ) analysis to identify key influencers  and profitable ads necessary to increase business productivity. Network  graph analysis was performed using Gephi.

• ML Analysis of Employee Attrition Patterns

The study included the use of machine learning models, namely Naive  Bayes, Classification Tree, K-Nearest Neighbour, Neural Network and  Logistic Regression to predict employee attrition patterns. Logistic  Regression model provided the best sensitivity, accuracy and  misclassification results.

• Thai Airways Passenger Trend Forecast

The study included the use of forecasting models such as seasonal  naïve, linear regression, Holt - Winters and TBATs to predict tourists  visiting Thailand. Results showed that the Holt-Winters model was the  best fit model for predictive analysis