Experience
Education
Skills Summary
Language
Expertise
78%
81%
Seeking a challenging Data Science role that
leverages my analytical skills, statistical
knowledge, and programming expertise to
derive actionable insights from complex
datasets. Committed to employing advanced
machine learning techniques and data
visualization tools to drive innovation and
make meaningful contributions to business
intelligence and decision-making processes.
About Me
sikandri317@gmail.com
+92 3341910317
Data Science Experience (Self-Initiated Projects)
2022 - Till-now
Bachelor of Computer Science
2018 - 2022
House No.390/B Bannu City.
The data cleaning techniques employed (e.g., handling missing values,
outlier detection, normalization).
Tools or programming languages used for data cleaning (e.g., Python
language, Pandas & NumPy libraries).
Data Cleaning:
English
Urdu
Pashto
Management Skills
Creativity
Critical Thinking
Leadership
University of Science & Technology Bannu
Diploma in Information Technology
2020 - 2021
KP Board of Technical & Commerce Education
Web Scraping
Training of Machine Learning Models
JIYAD
GUL
Programming Languages
Python
C++
C#
Markup and Styling Languages
CSS
HTML
Certificates
CSS,HTML & Networking
Data Science
WordPress
Developed a machine learning model using the classic Iris dataset to
perform multi-class classification. Utilized Python with scikit-learn to
implement and evaluate various algorithms like K-Nearest Neighbors,
Decision Trees, and Support Vector Machines, achieving high accuracy.
Employed data preprocessing techniques and cross-validation for robust
model training and validation, demonstrating proficiency in supervised
learning methodologies
Machine Learning Model:
In my machine learning experience, I proficiently utilized data
visualization techniques to present complex insights derived from
models. Leveraging tools like Matplotlib and Seaborn, I created impactful
visual representations that enhanced model understanding and
facilitated informed decision-making. These visualizations effectively
communicated trends, patterns, and evaluation metrics, contributing to
the interpretability and success of machine learning projects.
Data Visualization:
Excel
80%