Prediction of probable backorder scenarios in supply chain using Logistic Regression, Random Forest and XGBoost
Used SMOTE resampling in python and predicted backorders by modeling using XGBoost.
(Capstone Project)
A little about me? Sure.
So, If you’re looking for someone who is eager to delve deep into datasets and feel like a data scientist who walks into a jungle to take care of “python problems”, hear me out!
I often wondered what it took the Wright Brothers to invent the first aircraft. Questions like ‘what is an aircraft engine made of? ’or‘ how can the efficiency of an automotive engine be increased?’ watered my curiosity about the engineering world. Taking apart toys as a young child eventually transpired into fixing my two-cylinder motorcycle engine. These experiences paved the path for me to pursue Mechanical Engineering as my undergraduate major. Over four years of my under graduate study, I was exposed to a germane mix of courses that allowed me to comprehend topics ranging from Mechanical Design to Data Analytics. What genuinely fascinated me were dynamic concepts such as Machine Learning Techniques, Data Analysis using Python programming and Statistical Techniques such as Regression Analysis, SVM, Random Forest, Decision Tree, Probability Distribution, Cross Validation and Hypothesis Testing to name a few. These concepts allowed me to venture into the realm of Data Science while expanding my perspective on the importance of their practical implementation in modern industries.
Projects and Academic Research
Profitability Analysis using Power BI
This project used an E-commerce Data dataset found on Kaggle. More information concerning the license and origins can be found there.
(Personal Project)
Development of Greenhouse Gas using visualization on Power BI
Used Power BI to examine the development of greenhouse gas emissions and derived insights into 1) Greenhouse Gas by Country since 1960, 2) Source of Electricity by Country, 3) Forest Areas by Geography. The source for this dataset can be found on https://data.worldbank.org/
(Personal Project)
Data Analysis and Interpretation on the Biodiversity in National Parks
Performed statistical analysis implementing python libraries - Scipy.stats, Itertools, Seaborn etc. Built and evaluated contingency tables, conducted chi sq. tests on multiple categories of species.
(Personal Project)
Prediction of shipment type in supply chain using TensorFlow
Analyzed and cleaned a dataset on pandas and implemented ML models - Neural Networks and SVM.
(Personal Project)
Thermal Necrosis Assisted Dental Implant Removal: A 3-Dimensional Finite Element Analysis
(Research Paper)
The influence of geometric patterns on primary stability and osseointegration of dental implant: a review of the literature
(Review Article)
Credit Card Deafult prediction using Logistic Regression, SVM and Neural Network
(Personal Project)
Get In Touch
Do you want to work together? Please feel free to reach out to me by e-mail.