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@iMocha-coding-team
Data Scientist
June 14, 2026 – Present
Waste_Classification_using_ResNet152
January 22, 2022 – January 30, 2022
Waste_Classification_using_ResNet152 — GitHub repository
View ProjectAudio_Books_Classification
November 15, 2021 – January 30, 2022
The Data is from an Audiobook App. Logically, it relates to the audio versions of books ONLY. Each customer in the database has made a purchase at least once, that's why he/she is in the database. We want to create a machine learning algorithm based on our available data that can predict if a customer will buy again from the Audiobook company.
View ProjectMNIST_HANDWRITTEN_DIGIT_CLASSIFICATION
November 14, 2021 – November 14, 2021
MNIST_HANDWRITTEN_DIGIT_CLASSIFICATION — GitHub repository
View ProjectCustomer_Personality_Analysis
November 3, 2021 – November 3, 2021
Customer Personality Analysis is a detailed analysis of a company’s ideal customers. It helps a business to better understand its customers and makes it easier for them to modify products according to the specific needs, behaviors, and concerns of different types of customers.
View ProjectTitanic_Survival_Prediction
October 29, 2021 – October 30, 2021
The sinking of the Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone on board, resulting in the death of 1502 out of 2224 passengers and crew. While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others. In this challenge, we ask you to build a predictive model that answers the question: “what sorts of people were more likely to survive?”
View ProjectMarket_Segmentation
October 26, 2021 – October 30, 2021
Market_Segmentation — GitHub repository
View Project1_Simple_Linear_Regression
October 23, 2021 – October 23, 2021
1_Simple_Linear_Regression — GitHub repository
View ProjectBank_Loan_Prediction
October 16, 2021 – October 30, 2021
Loans are the core business of banks. The main profit comes directly from the loan’s interest. The loan companies grant a loan after an intensive process of verification and validation. However, they still don’t have assurance if the applicant is able to repay the loan with no difficulties.
View Project2nd_Hand_Car_Price_Prediction
October 7, 2021 – July 4, 2022
The prices of new cars in the industry are fixed by the manufacturer with some additional costs incurred by the Government in the form of taxes. So, customers buying a new car can be assured of the money they invest to be worthy. But due to the increased price of new cars and the incapability of customers to buy new cars due to the lack of funds, used cars sales are on a global increase (Pal, Arora, and Palakurthy, 2018). There is a need for a used car price prediction system to effectively determine the worthiness of the car using a variety of features. Even though there are websites that offer this service, their prediction method may not be the best. Besides, different models and systems may contribute to predicting power for a used car’s actual market value. It is important to know their actual market value while both buying and selling.
View ProjectBarcode_Face_attendance
January 31, 2021 – January 31, 2021
Barcode_Face_attendance — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and primarily use Jupyter Notebook, indicating a focus on individual exploration rather than collaborative development or diverse toolsets. The listed current role as 'Data Scientist' at '@iMocha-coding-team' with a future start date (2026) and no listed skills or responsibilities makes it difficult to assess real-world team experience or cultural alignment. The projects, while diverse in topic, all fall within standard data science tasks, which aligns with the target role. However, the lack of team-based projects or diverse technology stacks beyond Jupyter Notebook suggests a potential gap in collaborative work environments.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.