MUHAMMAD HARIS SALEEM

Troy, NY +1-631-***-**** ad4u4e@r.postjobfree.com linkedin.com/haris-saleem github.com/haris171 Education

Rensselaer Polytechnic Institute (RPI) CGPA: 4.0 Aug 2023 - Current Master of Science in Information Technology Data Science & Analytics Expected Graduation - Dec 2024

• Relevant Courses: Applied Analytics, Deep Learning, Project Management, Database Systems, Software Development. Lahore University of Management Sciences (LUMS) Dean’s Honor List 2021 (Fall 2021-2022) Aug 2017 - Jun 2021 Bachelor of Science in Electrical Engineering

• Engineering Courses: Electricity Markets, Renewable Energy Systems, Power Electronics, Electrical Power Systems

• Computer Science Courses: Data Structures, Data Mining, Speech Processing, Machine Learning

• Business Courses: Organizational Behavior, Financial Accounting, Customer Analytics, People Analytics Experience

Research & Data Analyst – Energy Informatics Group Jun 2021 - Jul 2023 Short & Medium-Term Load Forecasting (STLF & MTLF) – Electricity in Pakistan

• Analyzed energy trends using correlation and statistical packages and extracted energy and temperature data using APIs.

• Applied Advanced machine learning algorithms (Artificial Neural Network, Linear Model, Support Vector Regression) to capture trends and seasonality in energy demand data for time series forecasting and economic dispatch planning, achieving a MAPE of less than 5%.

• Developed a web product for interactive data visualizations for historical data and predictive analysis using R shiny dashboard.

• Reduced analysis time by over 80%. (see sample dashboard) Relevant Projects

Topic Modeling & Privacy Detection (NLP and LLMs) for AI Assistants Research Project – RPI Fall 2023 – Ongoing

• Identified user semantics based on ownership time for AI Voice (Apple, Google, Amazon) and Video (Ring, Google, Arlo) Assistants using HuggingFace BERT Topic Modeling: <6 months owners discuss purchase experience; > 1-year owners focus on product features.

• Extracting privacy invasion semantics using Word2Vec and BERT semantic models (in progress) Luggage Compliance Verification System – United Airlines Master’s Capstone – RPI Spring 2024 - Ongoing

• Developing a CSS, HTML web application to significantly improve the experience of Ramp Employees and customers of United Airlines.

• Implementing Deep Learning-based Computer Vision algorithms to ensure luggage compliance with safety protocols, including fire suppression line, luggage strap lock, and weight imbalance checks. Rating Prediction (NLP and LLMs) for AI Assistants Machine Learning Project – RPI Fall 2023

● Conducted feature engineering (POS tags, review lengths, LIWC) using NLTK and spaCy for Apple, Amazon, and Google products.

● Implemented classifier and regression using Random Forest and Neural Network comparing rating prediction results between transformer-based BERT embeddings and TF-IDF vectorization. Achieved 80% accuracy, with a marginal 0.6% improvement over TF-IDF. Electricity Consumption & Carbon Emission Modeling in the US Data Science Project – RPI Fall 2023

• Executed data cleaning, preprocessing, and visualization techniques in Excel using Macros, Formulas Pivot Tables, and Tableau.

• Conducted hypothesis testing using ANOVA, and Chi-Square test for residential and commercial electricity consumption.

• Modeled Carbon Emission using the regression model. Up to 5 million USD in socio-economic benefit for 0.01 % diesel usage reduction. Lithium-ion Batteries State of Charge Estimation Undergraduate Thesis – LUMS 2020 - 2021

• Simulated Li-ion batteries based on their optimized parameters for synthesizing dynamically discharged profiles using MATLAB.

• Published a novel method for online estimating the state of charge using 10 data points. Achieved Mean Squared Error of order 10−5.

• F. Manzoor, H. Saleem, I. H. Naqvi and N. A. Zaffar, "Online State of Charge Estimation Framework using Hybrid Equivalent Circuit Model and Neural Network," 2023 IEEE Power & Energy Society General Meeting (PESGM), Orlando, FL, USA, 2023, pp. 1-5, doi: 10.1109/PESGM52003.2023.10252709.

Teaching Experience:

Graduate Teaching Assistant - Data Analytics & X-Informatics - Rensselaer Polytechnic Institute Aug 2023 - Current

• Assisted Professor in class administration such as grading labs/assignments. (10 labs & 14 assignments)

• Supported 80 students in understanding concepts of Data Analytics and Informatics such as regression analysis, statistical hypothesis testing, clustering analysis, and use case development. Skills

Soft Skills: Statistics, Analytics, Problem Solving, Communication, Leadership, Critical Thinking, Teamwork, A/B Testing Tools: MATLAB, Jupyter, Google Colab, Word, Excel (MACROS, Pivot Tables, V-Lookup, VBA), PowerPoint, Outlook, Tableau Programming Languages: Python, R, SQL, NoSQL, JavaScript, HTML, C++, LaTeX Frameworks/Libraries: Pandas, TensorFlow, Keras, PyTorch, NLTK, sciPy, spaCy, Scikit-Learn, Seaborn, MongoDB, MySQL

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