Science Intern Data Analyst

Mohammad Anas

**** ******** ****, *** ** G, Durham, NC 984-***-**** ********.****@****.*** GitHub LinkedIn Portfolio Website EDUCATION

MS in Data Science (GPA: 4.0/4.0), Duke University - Durham, NC Aug 2021 - May 2023

• 20% merit-based tuition scholarship awarded by SSRI (Social Science Research Institute)

• Coursework: Machine Learning, Causal Inference, Algorithms and Data Structures, Deep Learning BSc in Economics and Mathematics, Lahore University of Management Sciences - Pakistan Aug 2014 - May 2018

• 25% tuition-scholarship awarded by TRG (The Resource Group) SKILLS

• Programming: Python Programming (Pandas, NumPy, Scikit-Learn, Pytorch, Xgboost), R Programming, SQL

• Software Tools: Azure Databricks, Azure Data Factory, GCP BigQuery, ML Flow, Command Line, Tableau, GitHub, Spark

• Proficiencies: Linear Models, Hierarchical Models, Ensemble Methods, A/B Testing, Clustering, Text Analytics, Neural Networks WORK EXPERIENCE

Data Science Intern, Volvo Group - Greensboro, NC May 2022 - Aug 2022

• Predicted transfer delays between events using gradient boosting techniques in conjunction with time series modeling; this led to an improved sales forecast by 19%.

• Created end to end machine learning pipelines using ML Flow custom classes and deployed them into production. Data Analyst, Ibex Global - Pakistan Aug 2018 - July 2021

• Conducted comparative analysis using Nissan’s prospect and purchase customer data, boosting conversion rate by 6.2%.

• Formulated strategies with Toyota stakeholders focusing on KPIs linked to higher customer satisfaction, which were identified using a linear regression model in R.

• Initiated a report called ‘Ibex Newsletter’ which measured clients’ performance on important KPIs against the industry average; the report is now delivered to the upper management on monthly basis.

• Developed an automation script in SQL to analyze textual data which reduced manual reporting work by 20 hours per week. Graduate Teaching Assistant, Machine Learning - Duke University May 2022 – Aug 2022

• Collected student’s feedback through surveys and held regular office hours and tutorials to address their needs.

• Conducted Python lab sessions twice a week and graded quizzes and assignments of a class of over 110 students. Graduate Teaching Assistant, Natural Language Processing - Duke University Aug 2022 – Present

• Wrote unit tests using Pytest module in Python to automate the procedure to grade students’ assignments. Cofounder, Mr. Waffles - Lahore, Pakistan Aug 2017 - July 2018

• Setup a retail outlet at DHA Lahore through a profit-sharing model with a popular café (Desert Directory).

• Cut down costs by negotiating contracts worth over PKR 660K with approximately 10 flour suppliers. PROJECTS

Machine Learning – Duke University, ECE department Sept 2021 - Dec 2021

• Designed a Bidirectional LSTM in TensorFlow that detected fake news with an accuracy of 93% on a real test data and 76% on synthetic data generated by Naïve Bayes.

• Built a gradient boosting model using Light GBM module in python to detect malware infections in windows machines. Causal Inference – Duke University, IDS department Sept 2021 - Dec 2021

• Evaluated the causal effect of state regulations on opioid shipments within United States using a differences-in-differences method.

• Developed a fixed effects model to investigate the effect of teaching methods on covid rates in K-12 schools across US. Data Modelling and Representation – Duke University, IDS department Sept 2021 - Dec 2021

• Created a multilevel/hierarchical model to explore the variation in effect of demographics on voting patterns across the swing counties in North Carolina.

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