Nafis Khan Email & Phone Number

Houston, Texas, United States

• . Designed and implemented machine learning models using Python to predict inventory levels, resulting in an 8% reduction in stockouts and overstock situations.
• . Used SARIMA models to automate shipment projections at the feature and factory levels for the next 2 years, improving accuracy by 15% and extending the forecasting period from 6 months to 2 years, including.
• . Applied a combination of machine learning techniques such as Random Forest and XGBoost in Python to optimize supply chain operations, achieving a 7% increase in operational efficiency.
• . Developed and implemented automated machine learning workflows that reduced the time spent on manual reporting by 40% and increased forecasting accuracy by 18%.
• . Developed and maintained Python scripts for data preprocessing and feature engineering, improving model accuracy by 15% and reducing processing time by 10%.
• . Adjusted 7 unique tools based on evolving needs from the supply planning team, ensuring dynamic support for ongoing and future projects, leading to a 20% increase in inventory management.

College Station, Texas, United States

Charlotte, North Carolina, United States

• Partnered with the risk management team to analyze risk exposures, uncovering 5 key areas of potential concern.
• Leveraged statistical models to analyze transaction data, drawing actionable insights that influenced business decisions.
• Conducted a market analysis against 4 major competitors using public datasets and in-house analytical tools, informing 2 strategic positioning initiatives.
• Collaborated with 4 cross-functional teams to produce quarterly risk reports, providing a macro view of Wells Fargo's risk landscape, which aided senior management in 3 strategic planning sessions.
• Developed and streamlined automated data extraction, transformation, and loading (ETL) processes, enhancing risk assessment efficiency by 25%.
• Developed a forecasting tool that accurately projected 6 key economic drivers, becoming a primary resource for the loss forecasting team for decision-making purposes.

Virginia, United States

Used Machine Learning with LogCompare pattern analysis to process big data logs for 27 firmware on 4 devices.Identified anomalies of 25+ devices in real-time using data analytics in PowerBI, resulting in 15% reduction in device faults.Utilized Pandas in Python to structure data into time-series formats, streamlining 5 major data processing.

Greater Philadelphia Area

Teaching Assistant for Processor Systems. Tasks include aiding students to utilize the Atmel AVR micro-controller simulations, using Atmel Studio 6.1 and completing hardware experiments with the Atmel 169P Butterfly micro-controller,troubleshooting lab equipment and software-based problems and preparing and demonstrating lab experiments and helping.

Greater Philadelphia Area

Provide technical support to academic and administrative eventsPerform maintenance and advanced troubleshooting of information technologyTrain and advice users in operating information technology

Greater Philadelphia Area

Provide one-on-one assistance for students from a wide variety of academic backgrounds and attempt to develop students’ conceptual knowledge in their respective courses while also providing feedback for student concerns about homework, exams, and study strategies.

Greater Philadelphia Area

Gained experience working with NAO robot, a humanoid robot designed to help communicate with Autistic children. Used Python to program the robot and conduct research in situ, for human-machine interaction, movement and travel algorithms.

Philadelphia, Pennsylvania

The Neural Engineering Data Consortium (NEDC) is a research group developing the world’s largest open source EEG corpus. Collected and prepared data for distribution as a research corpus. Used scripts for automatic interpretation of EEGs.

Dhaka, Bangladesh

Gained hands-on experience supporting a team of Electrical and Mechanical Engineers in charge of efficient bio- robotics production. Performed verification testing on sensors and controls.

Master Of Science - Ms, Data Science

Bachelor'S Degree, Electrical And Electronics Engineering

High School, Science