Mohd Mohsin Khan

1. Built and automated cloud data pipelines using Python, SQL, PySpark, Azure Data Factory, Snowflake, and Databricks, enabling analytics- and ML-ready datasets from 60+ enterprise sources 2. Developed data validation, transformation, and orchestration frameworks, reducing manual effort by ~70–90% and improving data reliability for downstream analytics and ML use cases 3. Supported Snowflake migration, Microsoft Fabric adoption, and SAP data lineage, collaborating with global teams to improve data quality, governance, and model readiness

I served as the Treasurer and Head of Documentation, where I was responsible for overseeing the organization’s financial and documentation functions. As Treasurer, I managed financial administration, reviewed financial procedures and reports, advised the board on financial strategy, and supported fundraising initiatives. I ensured financial transparency, compliance, and effective budget management. As Head of Documentation, I led documentation initiatives by developing standardized tools and processes, directing documentation projects, editing content for accuracy and consistency, and providing final approvals. This dual role required strong attention to detail, governance awareness, and cross-functional coordination, strengthening my skills in financial oversight, documentation standards, and organizational management.

I was a member of the Project Team, where I worked on project planning and execution. As part of Team Adyant, I participated in the CanSat competition, which involves designing and building a simulated satellite within the size and shape of a soft drink can. I was part of the Electronics Team, responsible for the selection, integration, and testing of electronic components. My role included working with sensors, microcontrollers, power systems, and communication modules to ensure reliable performance and system compatibility. This experience strengthened my understanding of embedded systems, hardware integration, and collaborative engineering in a competitive, project-driven environment.

During college, I served as the Content Lead, leading a team of 10 members and overseeing end-to-end content creation and delivery. I was responsible for content planning, ideation, editing, and final approvals, ensuring consistency, quality, and alignment with organizational goals. I coordinated closely with design and marketing teams to deliver content for events, campaigns, and digital platforms within strict timelines. I also managed task delegation, tracked progress, and mentored team members to improve writing quality and efficiency. By defining content guidelines and review processes, I helped streamline workflows and reduce rework. This role strengthened my leadership, communication, and team management skills while providing hands-on experience in driving results through collaborative content execution.

Worked on data analysis and machine learning projects to extract actionable insights from real-world datasets. Applied Python, data visualization, and statistical techniques to solve business problems, build predictive models, and present findings through clear reports and dashboards.

Worked as a Data Science Intern at Alpha AI for two months, contributing to end-to-end data analysis and machine learning tasks. Responsibilities included data cleaning, exploratory data analysis, feature engineering, and building predictive models using Python. Collaborated with the team to interpret data trends, evaluate model performance, and translate analytical results into actionable insights. Gained hands-on experience with real-world datasets, problem formulation, and iterative model improvement, while strengthening skills in statistics, data visualization, and analytical thinking within a fast-paced, project-driven environment.

Completed an intensive internship at Teachnook, working on 8 hands-on AI & ML projects covering machine learning, deep learning, and applied artificial intelligence. Responsibilities included data preprocessing, model development, training, and evaluation using Python and industry-standard libraries. Implemented supervised and unsupervised learning techniques to solve practical problems across multiple domains. Collaborated with mentors to refine model performance and document project outcomes. This internship strengthened my understanding of AI fundamentals, end-to-end project execution, and the application of analytical thinking to real-world use cases.

Worked as a Digital Marketing Intern at GetMyUni, contributing to SEO, digital media, and marketing communications initiatives. Responsibilities included keyword research, on-page SEO optimization, content performance analysis, and supporting digital campaigns across multiple platforms. Assisted in creating and managing marketing content to improve online visibility, user engagement, and lead generation. Collaborated with the marketing team to analyze traffic metrics, optimize campaigns, and align content with brand messaging. This role strengthened my understanding of digital marketing strategies, analytics-driven decision-making, and effective online communication.

Participated as a Contributor in GirlScript Winter of Contributing, creating technical content and learning resources across Python, Machine Learning, and related technologies. Contributed through documentation, tutorials, and code-based explanations aimed at simplifying complex concepts for beginners. Collaborated with mentors and peers in an open-source–driven environment, followed structured contribution guidelines, and met weekly milestones. This experience strengthened my technical writing, problem-solving, and foundational understanding of Python and machine learning while promoting collaborative learning and knowledge sharing.