Izhar Sami

About Izhar Sami

I am a seasoned Data Science & Analytics professional working with ZS associate under Randstad payroll with over 8 years of dedicated experience in leveraging data-driven strategies across diverse industries including Marketing, Banking, E-commerce Energy, and Stock Market. My expertise lies in transforming complex data sets into actionable insights through advanced statistical analysis and machine learning techniques.I hold a Master of Technology in Energy Science from Jamia Millia Islamia University, a top-ranked institution in India, and I am concurrently pursuing an MBA from the same esteemed university.Key Areas of Focus: Deep Learning (CNNs, LSTMs, RNNs, Transformers) Machine Learning Big Data (SQLite, Spark, AWS Athena, Docker, Microsoft Azure Databricks) Cloud Platforms (AWS, Azure) Programming Skills: Python, Pandas, Matplotlib, Seaborn, Numpy, PyTorch, PySpark, SQL Data Science & Analytics Data Visualization Statistical Research & Analysis Natural Language Processing (NLP) A/B Testing, Hypothesis Testing Generative AI Complex Problem-Solving Teamwork and Cross-Functional CollaborationI am passionate about exploring new connections and collaborative opportunities. Feel free to reach out to me on LinkedIn.

Experience

1. Senior Machine Learning Engineer

   ZS

   Sep 2024 — Present · Gurugram, IN

   Project: MLOps EnablementLeading the MLOps enablement of statistical and machine learning models ensuring seamless deployment and operational efficiency using Databricks. As Senior machine learning my key responsibilities include here :1.Technical Leadership & Collaboration: Leading daily stand-up calls, coordinating with the team, and troubleshooting technical challenges to ensure smooth project execution.2.Client & Stakeholder Engagement: Understanding client requirements and translating them into scalable MLOps solutions.3.MLOps Implementation:3.1 Integrating WARP with Databricks for streamlined workflows.3.2 Managing data ingestion from Azure Data Lake Storage (ADLS) to Databricks and writing back processed data to ADLS.3.3 Cleaning and debugging R code for model execution.3.4 Training statistical models within Databricks notebooks.3.5 Logging experiments using MLflow to track key metrics and model performance.3.6 Registering the best-performing models in Unity Catalog and at the workspace level.4.Training & Enablement: Conducting training sessions for new users on Databricks, WARP, and best practices in MLOps.

Education

• Jamia Millia Islamia

  Master of Business Administration - MBA, Business Administration and Management, General

• Dr. A.P.J. Abdul Kalam Technical University

  Bachelor of Technology - BTech, Mechanical Engineering

• Faculty of Engineering and Technology, Jamia Millia Islamia, Central University, New Delhi, India

  M.tech, Engineering