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
Machine learning
SQL
Logistic regression
Linear regression
Neural networks
K-means clustering
Model evaluation
Certification
ML in Python - 365 Data Science
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
swipe to browse
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