Murtaza Manzoor

Murtaza Manzoor

About

Detail

AI LLM |Data Analyst/Scientist | Python, SQL, AWS, Tableau, Excel | Master’s in Data Science
Jammu and Kashmir, India
Contact Murtaza regarding: 
Flexible work
Starting at USD15/hour
id_card
Internships
Starting at USD900/month

Timeline

work
Job
school
Education
folder
Project

Résumé

Jobs verified_user 0% verified
  • C
    Content Manager
    Jan 2025 - Current (1 year 4 months)
    Managing content , ads, campaigns on the website.
  • Innodata
    Senior Associate - LLM/AI
    Innodata
    Oct 2024 - Current (1 year 7 months)
    As a Senior Associate, I enhance LLM performance for image- and text-based queries by optimizing prompts, refining outputs, collaborating with cross-functional teams on experiments, managing deliverables, and improving solution effectiveness. • Created QA-style image-based prompts for fine-tuning multimodal large language models (MLLMs) combining visual and textual inputs. • Recorded, reviewed, and annotated English prompts for LLM-based speech evaluation projects. • Focused on ensuring contextual alignment between images and question/answer pairs across a range of reasoning tasks. • Collaborated with data ops and model teams to enhance prompt quality, edge-case handling, and annotation consistency. • Contributed to improving model accuracy
  • North Hires
    Data Analyst
    North Hires
    Nov 2022 - Sep 2024 (1 year 11 months)
    Conducted deep-dive statistical analyses and built predictive data models to personalize customer experiences, leading to a 32% increase in subscriber base. • Revitalized customer behavior & marketing impact by leveraging quantitative analysis, data mining, & visualization to drive a 13% surge in revenue, utilizing Python & SQL for in-depth insights • Developed user-friendly dashboards and bi-weekly reports using tools like Google Sheets to support decision-making across business units. • Led strategy formulation across product lines & distribution channels, focusing on elevating key performance indicators (KPIs) by boosting the conversion rate by 15% through market analysis • Empowered new hires with training in data structures & clean
  • E
    Semi Prom Cricket Player
    Eidgah Hunters
    Jan 2021 - Current (5 years 4 months)
Education verified_user 0% verified
  • L
    MS Data
    Liverpool John Moore's University
    Sep 2023 - Aug 2025 (2 years)
    Thesis: Explainable AI for X-Ray Imaging-Based Coronavirus Monitoring and Analysis Coursework: Explainable AI (XAI), Convolutional Neural Networks (CNN), DenseNet, Deep Learning, Local Interpretable Model agnostic Explanations (LIME), Natural Language Processing
  • IIIT Bangalore
    Post Graduate Diploma in Data Science
    IIIT Bangalore
    Jun 2022 - Jul 2023 (1 year 2 months)
    Coursework: Data Analytics, ML, Cloud Computing (AWS), AI, Big Data, Data Visualization, Hadoop, Apache Spark, Red Shift, Machine Learning Specialization in AWS, SQL, and ETL Pipelines GPA : 3.63/4
  • Coursera
    Google Data Analytics Specialization
    Coursera
    Jun 2022 - Dec 2022 (7 months)
  • I
    Bachelor of Technology
    Islamic University Of Science And Technology
    Aug 2016 - Mar 2021 (4 years 8 months)
Projects (professional or personal) verified_user 0% verified
  • Liverpool John Moores University
    Explainable AI for X-Ray Imaging-Based Coronavirus Monitoring and Analysis
    Liverpool John Moores University
    Sep 2023 - Current (2 years 8 months)
    Thesis: Explainable AI for X-Ray Imaging-Based Coronavirus Monitoring and Analysis. This project at Liverpool John Moores University focused on the application of Explainable AI (XAI) techniques, particularly in the context of medical imaging and interpretability in AI. Coursework included advanced topics such as Convolutional Neural Networks (CNN), DenseNet, Deep Learning, Local Interpretable Model-agnostic Explanations (LIME), and Natural Language Processing. While the project did not directly involve Google Veo 3, the skills I developed—such as deep learning model evaluation, handling visual data, and optimizing AI outputs for interpretability—are highly relevant. These skills translate well to working with multimodal tools like Google V