Mansoor Ahmad Mansoo

• Participated in the 2024 Kaggle Playground Series, achieving 98% accuracy using a Decision Tree model on a dataset of 8,000+ records.
  Participated in the 2024 AutoML Grand Prix, optimizing machine learning workflows, improving model performance by 15% through hyperparameter tuning.
  Developed a Random Forest Classifier with 98.88% accuracy, analyzing 500+ patient health records for prediction of patient outcomes.
  Implemented feature engineering techniques, reducing model overfitting and enhancing accuracy by 10%.
• Streamlined data collection methods to minimize analysis errors.
• Automated repetitive tasks using scripting languages such as Python or R, saving time during the analytical process significantly.
• Created and implemented new forecasting models to increase company productivity.
• Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets.
• Optimized machine learning pipelines and computational resources deployment strategies resulting in reduced processing times.
• Conducted thorough exploratory data analyses for robust model building.
• Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling.
• Set up SQL database on cloud servers to store client data for query analysis.
• Automated repetitive data cleaning tasks, freeing up time for more complex analysis.

• Produced monthly reports using advanced Excel spreadsheet functions.
• Used statistical methods to analyze data and generate useful business reports.
• Improved decision-making processes with accurate data analysis and visualization techniques.
• Utilized data visualization tools to effectively communicate business insights.
• Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
• Enhanced business efficiency by identifying trends and patterns in complex datasets.
• Provided actionable insights through comprehensive reports and dashboards, supporting strategic initiatives.
• Collaborated with cross-functional teams to ensure data integrity and accuracy, resulting in better-informed decisions.
• Managed large-scale databases to ensure timely access to critical information for key stakeholders.
• Developed custom algorithms to optimize data mining, increasing the effectiveness of analytical insights.
• Conducted comprehensive data analysis to support strategic planning, leading to more informed decision-making.
• Contributed to development of predictive models, aiding in forecasting of market trends.
• Improved data visualization techniques, making insights more accessible to non-technical stakeholders.
• Enhanced data accuracy by automating data cleansing processes, significantly reducing manual errors.
• Developed complex dashboard and reporting tools to track business performance metrics.
• Deployed predictive analytics models to forecast future trends.

Junior Data Scientist, Kaggle Competitions | Remote | 2023 – Present

Participated in the 2024 Kaggle Playground Series, achieving 98% accuracy using a Decision Tree model.
Currently participating in the 2024 AutoML Grand Prix, exploring automated machine learning techniques to improve model efficiency by 10%.
Developed a Random Forest Classifier that achieved 98.88% accuracy in predicting patient health outcomes for over 500 patient records.

Managed patient records for over 1,000 patients using the Hospital Management Information System (HMiS), ensuring a 95% accuracy rate in data entry.
Collaborated with a team of 15 doctors and nurses to streamline workflows, reducing patient admission time by 20%.
Organized and maintained daily schedules for 30+ inpatient appointments and departmental meetings.

• Maintained daily report documents, memos and invoices.
• Handled sensitive information discreetly, maintaining confidentiality when managing personnel files or financial data.
• Prepared professional correspondence, including memos, letters, and emails, ensuring accuracy and timeliness.
• Managed executive calendars, scheduling appointments and meetings to optimize time management.
• Responded to emails and other correspondence to facilitate communication and enhance business processes.
• Scheduled appointments and conducted follow-up calls to clients.
• Provided clerical support to company employees by copying, faxing, and filing documents.
• Contributed to a positive work environment by providing support to colleagues when needed in various tasks or projects.
• Provided exceptional customer service by promptly addressing inquiries and resolving issues professionally.
• Entered data into system and updated customer contacts with information to keep records current.
• Promoted a positive image of the organization through clear communication both internally with colleagues and externally with clients.
• Maintained electronic filing systems and categorized documents.
• Maintained accurate records of office expenses, assisting in budget preparation and cost control efforts.
• Assisted in event planning and execution for company functions such as conferences, workshops, or social gatherings.
• Updated spreadsheets and databases to track, analyze, and report on performance and sales data.