Department of Industrial and Production Engineering (IPE)

Farzana Momtaz Mithila

Lecturer, Department of Industrial and Production Engineering (IPE)

Farzana Momtaz Mithila

Lecturer, Department of Industrial & Production Engineering (IPE)

Contact Information:

          Tower-2, Level-11

          Department of Industrial and Production Engineering

          MIST, Mirpur Cantonment, Dhaka.

          Email: mithilaruet15@gmail.com

 

 

Work Experience:

1. Lecturer - (August 2023- Present)

Department of Industrial & Production Engineering (IPE),

Military Institute of Science & Technology (MIST)

 

2. Lecturer - (October 2022– July 2023)

Department of Industrial Engineering (IE),

BGMEA University of Fashion & Technology (BUFT)

 

3. Lecturer - (June 2021 – September 2022)

Department of Industrial & Production Engineering (IPE),

European University Of Bangladesh (EUB)

 

Educational Qualifications:

1. M.Sc. in Applied Statistics and Data Science (ASDS)

Department: Statistics and Data Science

Jahangirnagar University (JU)

Year of passing: 2024

 

2. B.Sc. in Industrial and Production Engineering (IPE)

Department: Industrial & Production Engineering,

Rajshahi University of Engineering and Technology (RUET)

Year of Graduation: 2021

 

3. Higher Secondary Certificate (HSC)

Rajuk Uttara Model School and College

Year of Passing: 2015

 

4. Secondary School Certificate (SSC)

Rajuk Uttara Model School and College

Year of Passing: 2013

 

Awards & Honors:

1.  Secured 2nd position in the merit list (IPE, RUET)

2. Received Government Board Scholarship in HSC

 

Industrial Attachment:

Industrial Trainee (May 2019)

Department: Safety, Health & Environment (SH&E)

Nestlé Bangladesh Limited.

 

Technical Skills:

Programming Language: C, Python, R

Data Analytical Software: SPSS, SAS

Data Management Tools: MongoDB, Hadoop

MS Office Package: MS Office, Excel, PowerPoint

 

Research Interests:

Machine Learning

Time Series Analysis and Forecasting

Categorical Data Analysis

Data Mining

 

Research Work:

1. ‘Prediction of Coronary Artery Disease Using Machine Learning from Non-Invasive

Test Reports and Demographic Characteristics of Patients in a Cloud-Based Scalable

System Architecture’ (Undergrad Thesis)

 

Project Work:

1. IoT Based Smart Living (Project)

2. Enhancing RUET Transport Facilities for the Students (Case Study)