Muhammad Omer

Angestellt, Senior Consultant Data Science, Systems ltd
Lahore, Pakistan

Fähigkeiten und Kenntnisse

Data Science
Machine Learning
Data Analysis
Statistics
Deep learning
Python
Natural Language Processing
Big Data
Artificial intelligence
TensorFlow
SQL
scikit-learn
Neural Networks
Statistical Analysis
Microsoft Power BI
NumPy
Computer Vision
Microsoft Azure
Statistical Modelling
Data Warehouse
PySpark

Werdegang

Berufserfahrung von Muhammad Omer

  • Bis heute 2 Jahre und 8 Monate, seit Juli 2023

    Senior Consultant Data Science

    Systems ltd

    1. Developed and deployed vendor spend forecasting and payment term optimization models, improving revenue by 15% and enhancing cash flow efficiency. 2. Led price elasticity modeling for 20,000+ products, optimizing pricing strategies using SARIMAX, GAM, MixedLM, and Linear Regression, leading to a 15% increase in profitability. 3. Designed and implemented attrition, promotion, and recruitment forecasting models using XGBoost, LightGBM, and ETS, driving workforce diversity and strategic hiring.

  • 2 Jahre und 1 Monat, Juli 2021 - Juli 2023

    Senior Software Engineer

    Techverx

    1. Led teams in navigating complex analytical project requirements and methodologies, effectively prioritizing workloads. 2. Developed robust statistical models for demand and sales forecasting in retail and financial sectors, uncovering trends in user transactions. 3. Orchestrated diverse ETL processes for Azure Data Lake, optimized document processing, developed custom OCR, improved accuracy surpassing third-party services, and collaborated across teams for tailored, integrated OCR solutions.

  • 1 Jahr und 6 Monate, Aug. 2019 - Jan. 2021

    Data Scinetist

    Programmers Force

    1. Achieved superior Face Liveness results with ZCNN and LSTM models, surpassing benchmarks. 2. Outperformed Google OCR with a custom built OCR for accuracy and latency in specific languages. 3. Implemented real time document detection, streamlining document processing workflows. 4. Proficient in face detection and recognition technologies for precise identity verification.

Sprachen

  • Englisch

    Fließend

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