Maazullah Khan Email & Phone Number

Calgary, Alberta, Canada

• Execute data cleaning and transformation pipelines for our clients’ data using Python libraries to ensure data accuracy, consistency, and reliability.• Perform advanced exploratory data analyses to identify significant patterns and trends, providing actionable insights that inform strategic decision-making.• Implement machine learning models and natural language processing (NLP) algorithms for predictive analytics, enabling clients to pinpoint areas for continuous quality improvement.• Develop and deploy interactive dashboards using Streamlit and PowerBI, visualizing key insights that facilitate informed decision-making processes and drive data-driven strategies.

Calgary, Alberta, Canada

• Conducted data cleaning and wrangling to ensure data integrity and reliability, utilizing powerful Python libraries such as NumPy and Pandas for efficient data preprocessing.• Conducted in-depth exploratory data analysis, uncovering key insights and emerging trends within the data, resulting in data-driven decision-making.• Designed and developed dashboards to visually present compliance with regulatory criteria of Canadian Engineering Accreditation Board, enhancing transparency and accessibility of critical information.• Utilized LIDA's Summarizer, Goal Explorer, and Visgenerator modules for automating visualization generation, streamlining data understanding, goal enumeration, and specification creation.• Managed projects efficiently with Jira, and maintained effective change tracking through DVC and GitHub, contributing to collaborative efforts.

Calgary, Alberta, Canada

• Delivered lectures in a professional Master of Data Science and Analytics program, focusing on essential Python coding skills, proficiency in data manipulation libraries like NumPy and Pandas, and the use of Matplotlib for creating effective visualizations.• Utilized classroom technologies to create an interactive and collaborative learning environment, providing students with hands-on opportunities for practice and the ability to exchange ideas with their peers.• Designed assignments that allowed students to demonstrate their grasp of the material, and implemented clear grading rubrics to ensure fair assessment, facilitating a structured and objective evaluation process essential for student growth and success.• Assessed students' progress and offered feedback to help them improve their overall data science skills and problem-solving abilities.• Provided dedicated advising and mentoring to guide students in their coursework, projects, and career choices, contributing to their success in the data science and analytics field.• Received excellent student feedback (4.39 out of 5), demonstrating effective teaching abilities and communication skills in the field of data science.

Calgary, Alberta, Canada

• Performed data preprocessing on diverse textual data related to nuclear energy including data cleaning, tokenization, lemmatization, and removing stop words.• Utilized NLTK, spaCy, and Transformers libraries for advanced NLP tasks such as sentiment analysis and topic modeling.• Collaborated closely with the nuclear energy research team, providing expertise in NLP and data analytics.• Ensured optimized data management using Pandas library, employing efficient data structures and manipulation techniques for seamless processing and analyses.• Generated visualizations using Matplotlib and Seaborn libraries, enabling effective communication of trends and insights derived from NLP analyses.• Utilized GitHub for version control and code repository, improving code tracking, fostering collaborative development, and facilitating smooth sharing of research findings with the nuclear energy research team.

Topi

• Taught various courses on Statistical Modelling and Predictive Analytics using Python and R.• Contributed to evaluations of engineering departments' accreditation readiness through participation in mock visits, involving in-depth analysis of criteria, identification of gaps, and collaborative provision of strategic recommendations for improvement.• Advised GIK Institute on strategic planning and curriculum design; led GIK Institute’s Leadership and Entrepreneurship Society. • Published research articles in international peer-reviewed journals.• Received top students’ evaluation (Average: 3.89/4.00). Rated as ‘Excellent’ performer by GIK Institute.

• Led a proficient team focused on Early Warning Systems (EWS) for banks, employing advanced analytics and machine learning to enhance credit risk assessment, operational efficiency, and overall risk management.• Implemented advanced algorithms and methodologies to detect and flag suspicious transactions for potential anti-money laundering (AML) activities, bolstering regulatory compliance and financial security measures.• Conducted thorough data analysis using Python, R, and specialized banking tools to identify potential risks and market trends early on, facilitating timely interventions.• Effectively communicated analytical insights to various stakeholders through clear storytelling and visualizations, fostering understanding and supporting organizational objectives.

Calgary

• Worked proactively with management on forecasting and tracking sales targets.• Contributed towards business development plans and marketing strategies for customers retention.• Consistently exceeded sales targets through a customer-centric sales approach, resulting in high levels of customer satisfaction and repeat business.• Demonstrated expert knowledge of the automotive industry and its products, providing customers with accurate information and guidance to inform their purchasing decisions.• Collaborated effectively with team members, contributing to a positive, dynamic sales culture and fostering long-lasting relationships with customers.

The Hague

• Designed and executed a randomized field experiment by providing interest-free loans to microenterprises to estimate its impact on working capital and business profits.• Conducted extensive field work, involving the design and testing of survey instruments, and gathered data through questionnaires, focused group discussions, and interviews.• Utilized advanced econometric techniques including difference-in-difference to estimate returns the impact of microcredit.• Published research findings in an academic paper, contributing to the experimental evidence on returns to capital and the impact of interest-free loans on microenterprises.• Presented research results at international conferences, promoting knowledge dissemination and advancing discussions in the field of microfinance and its implications for business profits and working capital.

Pakistan

• Collaborated with cross-functional teams to develop and implement predictive analytics solutions for the banking sector, utilizing statistical modeling, SQL, and Stata• Conducted data wrangling and cleaning to prepare data for analysis and modeling, ensuring data quality and integrity• Developed and trained predictive models, including Logistic Regression, to identify early warning signs of bank failures• Generated data visualizations to communicate insights and presented findings to management for remedial actions• Contributed to the writing of the Financial Stability Report, providing data-driven analysis and visualizations to inform decision-making• Monitored financial market trends and provided insights to support strategic planning and decision-making processes

Pakistan

• Collected primary and secondary data on microfinance sector and maintained the data pipeline for ensuring quality and integrity of data• Analyzed data and extracted insights for designing effective financial inclusion program• Reviewed policy papers and advised/recommended best alternative solutions to the key stakeholders• Wrote policy briefs and memos for top management and policy makers• Reported program’s progress to various stakeholders

Pakistan

• Prepared risk-based audit plans and led an on-site audit team• Evaluated central bank’s risk management framework, control and governance processes• Identified and documented key risk areas for different functional areas of the bank• Wrote audit reports; advised and recommended senior management for improvements in internal controls and risk management systems and followed-up for ensuring compliance

Master Of Data Science And Analytics, Data Science

Doctor Of Philosophy - Phd, Development Studies - Economics

Msc, Financial Economics

My specialization is in financial economics. I studied advanced courses in Financial Risk Management, Options Pricing and Hedging.

Mba, Finance

I have majors in Finance and minors in Marketing.

Bachelor Of Science (B.Sc.), Mathematics