Irtaza Aslam

About Irtaza Aslam

I am a Data Scientist with around 5 years of experience in predictive modeling, NLP, and Generative AI. I have a proven track record in enhancing customer segmentation, driving revenue growth, and deploying machine learning models. I am Skilled in data cleaning, feature engineering, and data visualization. Adept in Python, SQL, R, and cloud computing platforms. Strong expertise in project management, AI, and advanced machine learning algorithms. In short, I can make data tell its own story.Technical Skills and Tools: Programming Languages: Python (Numpy, Pandas, Scrapy, BeautifulSoup, SciPy, Scikit, NLTK, SpaCy, Gensim, OpenCV, TensorFlow, Keras, Pytorch, Statsmodel), SQL, R. Flask, Fast API.Machine Learning: Predictive and Statistical Modeling, Regression, Classification, Clustering, Decision Trees, SVM, Forecasting, Recommender System, Natural Language Processing (NLP), Deep Learning Frameworks, Neural Networks. Generative Ai: Large Language Models (LLM), Langchain, OpenAI API, Prompt Engineering, Vector DB, Hugging Face, GroqApi, Ollama, ChromaDB, FaissDB GraphDB.Data Visualization: Tableau, Power BI, Matplotlib, Seaborn, Folium. Database Management: MySQL, SQL Server, PstgreSQL. Operating Systems: Windows, Mac, Linux. Cloud Computing: AWS, Azure, GCP. Kubernetes, CI/CD Pipelines, Docker. Big Data Frameworks: Hadoop, Spark, PySpark, Hive, MapReduce. Data Tools: Anaconda, Jupyter, Colab, Jupyter Notebooks, Databricks, MS Excel, ETL, Agile. Version Control: Git, Gitlab, Github, Troubleshooting, Automation. Data Science Pipelines: Problem Identification, Requirement Gathering, Validation, Data Mining, Feature Engineering, Model Evaluation, Documentation, Containerization, Productionization.

Experience

1. Data Scientist

   Digitalytics

   Aug 2021 — Present · Chicago, IL, US

   Executed comprehensive Python-based analyses to uncover critical relationships within diverse datasets, defining strategic goals and processes to drive digital transformation in the Data Science & AI department.• Optimized customer segmentation through advanced data science methodologies, achieving a 20% revenue growth by applying the CRISP-DM framework to effectively manage and structure projects.• Partnered with cross-functional teams to deliver strategic insights, translating complex technical findings into actionable business strategies.• Acted as an implementation partner for various AdTech and Fintech clients, implemented advanced marketing analytics for AdTech and Credit Risk Management Solutions for Fintech that collectively increased client revenues by $10M. • Implemented a range of machine learning algorithms, including decision trees, regression, and clustering, to develop robust predictive models and drive business outcomes.• Developed and deployed machine learning models using CI/CD pipelines and Docker, enhancing deployment efficiency and ensuring scalable solutions.• Developed an AI email assistant leveraging Generative AI and LLMs, utilizing tools like LangChain, Transformers, PineCone, and OpenAI, to automate email responses and improve customer communication efficiency.

Education

• University of Surrey

  Bachelor's degree

  2017 — 2020