Sundas Khan

Detail-oriented Statistical Analyst and Data Science Lecturer with over 3 years of multidisciplinary experience in statistical modeling, academic instruction, data visualization, and software engineering. Skilled in leveraging Python, R, SQL, and Power BI to deliver actionable insights and drive decision-making. 

Demonstrated success in mentoring over 130 students, helping them learn essential concepts related to programming and data science. Also, delivering impactful dashboards, and completing industry-relevant data projects. Adept at making technical data understandable and engaging across stakeholder levels.

Experience

University of Wah – Wah Cantt, Pakistan

Lecturer (Data Science) | Aug 2024 – Present

Delivered core Data Science curriculum to over 130 undergraduate students across three distinct courses, achieving a 95% positive student feedback rate.

Served as course advisor and department coordinator, streamlining academic operations and supporting curriculum alignment.

Contributed to assessment standardization as a member of the exam committee, helping maintain evaluation fairness across departments.

Boston Consulting Group (BCG)

GenAI Job Simulation (Forage) | Sep 2024

Developed an AI-driven financial chatbot simulating BCG's GenAI consulting model by parsing and analyzing data from 10-K and 10-Q filings.

Applied Python and pandas to process large financial documents, demonstrating competence in both language syntax and domain knowledge.

Designed logic-based workflows that enhanced chatbot interpretability and improved user experience in financial data retrieval.

Europe Career Support (Remote)

Ambassador – Data & IT | Oct 2023 – Present

Mentored 50+ early-career professionals in transitioning to Data and IT roles, improving their interview success rate and LinkedIn visibility.

Built strategic relationships with 20+ hiring professionals, resulting in improved job placement support for community members.

Increased organization’s online reach through consistent content engagement and personal branding initiatives.

Accenture

Data Analyst Intern | Sep 2023 – Oct 2023

Conducted trend analysis on 7 diverse datasets to uncover user behavior and content performance, contributing to campaign optimization.

Delivered 3 stakeholder presentations using data storytelling techniques that simplified complex metrics for marketing teams.

Collaborated with cross-functional teams using Agile methodology to meet project deliverables within a 6-week timeline

Projects:

Zameen.com ETL Project: Scraped 150 property listing pages with Selenium; transformed and loaded structured agent data for real-estate analytics.

Apache Airflow ETL Pipeline: Automated data workflows to reduce manual intervention by 80%, ensuring scalable and consistent data ingestion.

Blocket Bostad Scraping & ETL: Extracted 950 structured property records from 20 pages; built a transformation pipeline to refine 9 key variables.

Maven Analytics Challenge: Built a Power BI dashboard analyzing 47,889 hospital survey records over 8 years to assess performance KPIs.

Sentiment Analysis on YouTube: Used TextBlob to assess viewer sentiment across official Swedish government videos; visualized trends via word clouds.

Apple Store Data Analysis: Conducted SQL-driven EDA on app metrics; connected SQL Server to Python via pyodbc for automated querying and analysis.

Masters in Micro Data Analysis from Dalarna University, Sweden, 2023

MS Computer Software Engineering, National University of Sciences and Technologies, Pakistan, 2012