Asif Sayyed
Data Scientistwriting bad code and overfitting models
Marsh
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
writing bad code and overfitting models
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Marsh
Data Scientist
June 24, 2026 – Present
Theseus
April 3, 2026 – Present
Does a codebase remain the same if every line is replaced? A monthly pulse on software entropy.
View ProjectLittleLogger
November 1, 2025 – November 24, 2025
A lightweight, zero-setup decorator for logging ML experiments to a JSONL file. This tool is for the solo data scientist, student, or hobbyist in a Jupyter Notebook who just wants to keep track of their experiments without setting up a database or heavy framework.
View ProjectPlateScribe
August 8, 2024 – October 19, 2025
PlatePaparazzi snaps license plates with the precision of a celebrity photographer! Using deep learning and OpenCV, this project detects and reads plates with OCR, perfect for enforcing laws and managing parking.
View ProjectRecommendationHaki
July 24, 2024 – Present
RecommendationHaki is a Python-based anime recommendation system that utilizes natural language processing (NLP) to suggest anime based on user preferences.
View ProjectScalaPlayground
July 24, 2024 – October 3, 2024
A repository to dump and share Scala code snippets, experiments, and practice exercises.
View ProjectNatural-LangWiz
July 13, 2024 – Present
Natural LangWiz is a repository for exploring Natural Language Processing (NLP) techniques through Jupyter notebooks. It covers everything from text preprocessing and sentiment analysis to advanced transformer models. Dive in to see how we turn raw text into actionable insights with a touch of NLP wizardry!
View ProjectDORA
May 22, 2024 – Present
DORA (Data Oriented Report Automator) automates Exploratory Data Analysis (EDA) to help you effortlessly explore datasets. Generate insightful statistics, visualizations, and reports with just a click! Streamline your data exploration workflow and uncover trends, patterns, and relationships in your data with ease.
View ProjectSentimentScoringModel
April 27, 2024 – August 15, 2024
This project focuses on performing sentiment analysis on Amazon reviews using natural language processing (NLP) techniques. It includes various steps, from data exploration and preprocessing to building and evaluating sentiment models.
View Projectreal-estate-price-prediction
February 24, 2024 – October 2, 2025
The objective of this project is to apply my knowledge of data science and machine learning to create a house price prediction model in a well documented fashion
View ProjectVBAPathologyApp
April 26, 2023 – August 30, 2023
This project is a VBA application for managing pathology lab processes, including patient data management and bill generation. The application is designed to be user-friendly and easy to use for lab personnel, including pathologists and lab technicians using user-forms, macros and VBA code
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects in data science and machine learning, indicating passion and self-motivation. The diversity of projects (NLP, computer vision, EDA, recommendation systems) suggests a broad interest within the data science domain. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to assess collaboration and broader cultural fit beyond individual drive. The 'VBAPathologyApp' and 'ScalaPlayground' projects show some breadth beyond core Python data science, but their relevance to a senior Data Scientist role is limited.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work independently and a proactive approach to learning and applying new technologies. The 'LittleLogger' project indicates an understanding of practical needs for solo data scientists. However, without psychometric or English test scores, a comprehensive assessment of communication, logical reasoning, work attitude, stress handling, and team collaboration is not possible.