Daniel Naanban

Daniel Naanban

Data Scientist

Lafia, NG.

About

Data Scientist equipped with rigorous hands-on training from the 3MTT Nigeria initiative, expert mentorship, and practical experience in machine learning, predictive modeling, data cleaning, and statistical analysis. Proficient in Python, SQL, Excel, and data visualization, with a track record of building data-driven predictive systems.

Education

BeTechified

Nigeria
Data Analysis

Federal University of Lafia, Nasarawa state Nigeria.

Lafia, Nasarawa state, Nigeria
Bachelors of Statistics

Certificates

Advanced Data Analysis Course

BeTechified

Data Science Certificate of Completion

3MTT Nigeria

Skills

Machine Learning

Machine Learning, Scikit-Learn, Predictive Modeling.

Data Science

Data Science, Statistical Modeling, Data Wrangling.

Data Analysis

Data Analysis.

Data Cleaning & Preprocessing

Data Cleaning & Preprocessing.

Data Visualization

Data Visualization.

Exploratory Data Analysis (EDA)

Exploratory Data Analysis (EDA).

Predictive Modeling

Predictive Modeling.

Dashboard Development

Dashboard Development.

Microsoft Excel

Microsoft Excel.

Python

Python, Pandas, Matplotlib.

SQL

SQL.

Financial Data Analysis

Financial Data Analysis.

Time Series Analysis

Time Series Analysis.

Projects

Weather Prediction Model – Lafia, Nasarawa State

Summary

Developed a predictive model using historical weather data to accurately forecast future conditions, demonstrating strong analytical and data processing capabilities for a specific region.

Trading Strategy & Backtesting System

Summary

Currently developing a sophisticated data-driven trading system leveraging historical market price data for strategy identification and performance evaluation.

Languages

English

Work

3MTT Nigeria

|

Data Science Fellow

Nigeria

→

Fellowship

Summary

Completed comprehensive Data Science training program under the Federal Government's 3MTT Initiative.

Highlights

Completed intensive Data Science training under the Federal Government's 3MTT Initiative, guided by expert mentors and industry leaders.

Executed hands-on projects involving end-to-end data pipelines, exploratory data analysis, machine learning models, and data visualizations.

Engaged in collaborative problem-solving and peer learning within an active data science community.