Python
Uzair Mansoor
Data Scientist / Data Analyst/Ex Military officer
Lahore, Punjab
Summary
Driven Data Science Intern ready to thrive in demanding digital intelligence processing environments. Well-informed on latest machine learning advancements. Ready to combine tireless hunger for new skills with desire to exploit cutting-edge data science technology.
Experienced leader(Pakistan Army) with strong background in guiding teams, managing complex projects, and achieving strategic objectives.
Overview
7
7
years of professional experience
10
10
Certificates
5
5
years of post-secondary education
Work History
Military Officer
Pakistan Army
05.2018 - 12.2024
- Implemented innovative tactics to achieve mission objectives under challenging conditions.
- Trained personnel to improve performance and attain mission-ready status.
- Adhered to strict protocols and followed orders while conducting operational missions.
- Managed budget of $100,000 and maintained fiscal responsibility with zero losses.
- Worked closely with civilian agencies to coordinate military operations and carry out orders.
- Maintained accountability for over $100,000 in military assets.
Data Science Intern
Nodebook(Private) Limited
05.2024 - 09.2024
- Developed predictive model to estimate vehicle prices based on multiple features, including make, model, company, engine volume, mileage, and other relevant factors.
- Preprocessed data by handling missing values, feature scaling, and encoding categorical variables.
- Implemented regression algorithms such as Linear Regression, Random Forest, and Gradient Boosting, and optimized hyperparameters to achieve higher accuracy.
- Tools & Technologies: Python (pandas, scikit-learn, NumPy, Matplotlib), Jupyter Notebook.
- Designed recommendation system based on collaborative and content-based filtering techniques using user ratings and movie metadata.
- Evaluated performance using RMSE and improved recommendations by applying Singular Value Decomposition (SVD).
- Predicted disease likelihood (e.g., diabetes or heart disease) based on patient data using classification models.
- Evaluated performance with metrics like precision, recall, and F1-score.
- Analyzed and forecasted energy consumption for a region based on historical usage, weather patterns, and population growth.
- Tools: Python, pandas, NumPy, Matplotlib, Statsmodels.
Education
Bachelor of Science - Military Art And Science
National University of Science And Technology
Islamabad, Pakistan 05.2019 - 05.2024
Skills
Python programming
Certification
ML in Python - 365 Data Science
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Software
SQL
MS Word
MS Power Point
MS Excel
Languages
Urdu
Native language
English
Proficient
C2
Timeline
Data Science Intern
Nodebook(Private) Limited
05.2024 - 09.2024
Bachelor of Science - Military Art And Science
National University of Science And Technology
05.2019 - 05.2024
Military Officer
Pakistan Army
05.2018 - 12.2024
ML in Python - 365 Data Science
Dec 2024
Mathematics - 365 Data Science
Sep 2024
Python Programmer Bootcamp - 365 Data Science
Sep 2024
Probability - 365 Data Science
Jul 2024
Statistics - 365 Data Science
Jul 2024
SQL - 365 Data Science
Jun 2024
Data Analytics and Visualisation Job Simulation - Forage
Jun 2024
Complete Python Bootcamp - Udemy
Jun 2024
Bronze Medalist - Young Officers course Artillery
Jan 2021
Bronze Medalist - Young Officers course Infantry
Jan 2022
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