Abraham M
The star rating is a representation of the overall rating, calculated as the mean of the client satisfaction rating, the average client interview rating, and internal interview scores.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
Data Scientist Preferred Title
$75.00 /hr $ 80.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Average Count of Messages/Day 0.2
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 38h PST, 32h UTC
- Software Engineering Process 3.0/5
- Design Practice 3.0/5
- Design Theory 3.0/5
- Technical Breadth 4.0/5
- Logical Thinking 4.0/5
- Technical Strength 4.0/5
- System Design 3.0/5
- Productivity and Responsiveness 3.0/5
- Teamwork 3.0/5
- Agile Development Process 3.0/5
- Intellectual Merit 4.0/5
- English Communication 4.0/5
- Documentation 3.0/5
- Desktop Windows
- Phone Android
- Member Since Aug 28, 2023
- Profile Last Updated Aug 12, 2023
- Last Activity Aug. 29, 2023, 10:31 a.m. UTC
- Location United Kingdom
Profile Summary
I have years of experience as a data science and analytics professional. I love building data-driven and advanced machine-learning solutions that help businesses make informed decisions and achieve transformative outcomes. My expertise in statistical analysis, data visualization, and predictive modeling allows me to extract actionable insights from complex datasets and present them clearly and concisely. My three most valuable soft skills are problem-solving, strategic, and analytical thinking.
Skills
Total Experience: 6 years
Python (4E, 6Y)
4 experiences, across 6 yearsMachine learning (4E, 6Y)
4 experiences, across 6 yearsData Science (4E, 6Y)
4 experiences, across 6 yearsBig Data Analytics (2E, 6Y)
2 experiences, across 6 yearsSQL (3E, 4Y)
3 experiences, across 4 yearsGoogle Cloud (3Y)
3 years of experienceData Analytics (6Y)
6 years of experienceUnit Testing (3Y)
3 years of experienceData visualization (3Y)
3 years of experienceCredit Score (3Y)
3 years of experienceGoogle Bigquery (2E, 2Y)
2 experiences, across 2 yearsObject Oriented Programming (2Y)
2 years of experienceFeature Selection (2Y)
2 years of experienceData mining
Pyspark
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 38h PST, 32h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
12 - 18
17 - 23
17 - 23
17 - 23
17 - 23
16 - 23
10 - 15
PST
05 - 11
10 - 16
10 - 16
10 - 16
10 - 16
09 - 16
03 - 08
Vetting
- Interview Data
- Software Engineering Process
- Design Practice
- Design Theory
- Technical Breadth
- Logical Thinking
- Technical Strength
- System Design
- Productivity and Responsiveness
- Teamwork
- Agile Development Process
- Intellectual Merit
- English Communication
- Documentation
- Code Quality
- Controllers
- Templates
- APIs
- Training/Testing Data Models
Experience
Data Scientist
Employment
Feb 2022 - Present
Admiral Group PLC Company
Technology Industry
- I revolutionized Business Intelligence Dashboard Creation by developing a game-changing Python framework that automated the generation of dashboards, boosting team productivity and delivery.
- I built machine learning models and leveraged big data analytics for advanced business decisions. Also, I wrote complex SQL code on Google Cloud big query.
- I developed and implemented a reusable Python-based data analysis framework, leveraging object-oriented programming principles to track and analyze key business metrics for each customer intent.
- I developed a real-time Google Looker Data Analytics dashboard and LookML template to monitor sales and cancellations metrics, offering valuable insight into customer intents.
- I developed and evaluated a Data Science time series model to predict inbound call volume, optimizing staffing levels and service delivery. predicting inbound renewal call volumes for 120 future days.
Data Scientist
Employment
Sep 2021 - Feb 2022
Fairmoney Microfinance Bank Company
Technology Industry
- Utilized Python object oriented programming principles to create extractors for computing and extracting aggregated features from SMS data stored in Google BigQuery.
- I analyzed third-party data sources to identify predictive variables for building optimal machine learning models, streamlining the feature selection process.
- I developed and implemented highly efficient regex (regular expressions) for parsing information from a vast SMS dataset of over 150 million messages using SQL.
- I led the identification and recommendation of 100+ financial and non-financial predictors extracted from SMS data, which were successfully incorporated into machine learning models.
- I developed comprehensive data science documents that significantly reduced onboarding time for new team members by providing the necessary resources to contribute to the team's success quickly.
Data Scientist
Employment
Nov 2019 - Oct 2021
Indicina Technologies Limited Company
Technology Industry
- As a consultant to leading financial institutions, I developed and implemented machine learning and credit risk models using Python that achieved an impressive evaluation score (AUC) of 85%.
- I built credit score models by combining data from various sources and wrote rigorous unit testing cases to ensure optimal functionality of data-driven software projects.
- I performed end-to-end data analysis tasks, including data visualization, mining, aggregation, exploration, modeling, and machine learning model training.
- I conducted cohort and big data analytics on past loan disbursements to analyze loss ratios across different touchpoints, such as sectors and time of disbursement.
- I developed comprehensive data science documents that significantly reduced onboarding time for new team members by providing the necessary resources to contribute to the team's success quickly.
Data Scientist
Employment
Mar 2021 - Jun 2021
Deep Discovery Company
Technology Industry
- I performed data exploration using SQL on Google Bigquery and other tasks assigned such as data mining, experimenting with different machine learning algorithms, and building data science models.
- I assessed Address Geocoding outcomes from top vendors, including Geocode.Earth, OpenCage, and Mellissa, leading to cost savings of over $3.5 million.
- I created a Python script to convert OpenCorporates data, comprising over 130 million addresses from countries like Australia, Netherlands, Island, Finland, etc., into latitude and longitude pairs.
- I built an address parsing classifier for forward and backward geocoding. Conducted web crawling of over 16 million attorney data using enterprise-level data collection tools like Brightdata.
- I leveraged PySpark to develop internal tools and scripts, streamlining geocoding tasks and gaining insights into big data sets to support further analysis.
Qualifications
Education
Federal University Lokoja
Sep 2014 - Sep 2018
B.Sc (Computer Science)