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MM@muhammadsaadmir
Senior Data Scientist specializing in NLP and predictive modeling.
PakistanAs a Senior Data Scientist at Hubble42 Inc, I have successfully designed and deployed a personalized content generation model using transformers, which increased engagement by 28%. My expertise in building and maintaining NLP pipelines on Google Cloud Platform (GCP) has allowed me to process and analyze over 100 million customer interactions, optimizing campaign messaging and boosting ROI by 35%. I take pride in mentoring junior NLP engineers and collaborating with cross-functional teams to implement language-focused solutions.
Previously, as a Lead Data Scientist at Reallytics.ai, I directed the development of NLP models for automatic ad text quality scoring, enhancing creative evaluation accuracy by 41%. My work in budget optimization models and sentiment analysis has significantly improved spend efficiency across over 50 active campaigns. I have a proven track record of delivering strategic media decisions through quarterly briefings that guide multimillion-dollar investments.
With a solid foundation in data science and a Bachelor's degree in Marketing with a major in Deep Learning, I am passionate about leveraging data to drive business success. I thrive in dynamic environments where I can apply my analytical skills and innovative thinking to solve complex problems.
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Work history, roles, and key accomplishments
Hubble42 Inc
Jan 2022 - Present (3 years 10 months)
Designed and deployed a personalized content generation model using Transformers for ad creatives, increasing engagement by 28%. Built and maintained NLP pipelines on Google Cloud Platform (GCP), leveraging VertexAI for end-to-end model deployment and monitoring.
Reallytics.ai
Jan 2019 - Present (6 years 10 months)
Directed NLP model development for automatic ad text quality scoring, enhancing creative evaluation accuracy by 41%. Built budget optimization models incorporating campaign sentiment analysis and time-series prediction, improving spend efficiency across 50+ active campaigns.
Single Solutions
Jan 2017 - Present (8 years 10 months)
Designed targeted messaging strategies using NLP-driven customer profiling, increasing campaign ROI by 20%. Led the redesign of textual data ingestion pipelines for marketing metrics, reducing reporting latency from 24 hours to under 2 minutes.
Techno Desert
Jan 2016 - Present (9 years 10 months)
Built NLP pipelines for extracting customer sentiments from user-generated reviews, enabling 35% faster insights generation. Developed Python-based web scrapers and text enrichment tools that added 25,000+ annotated data points to the recommendation engine.
Degrees, certifications, and relevant coursework
Bachelor's in Marketing, Marketing
Studied Marketing with a major in Deep Learning at the University of Central Punjab. This program provided a strong foundation in both business principles and advanced analytical techniques.
PakistanYou can contact Muhammad Saad and 90k+ other talented remote workers on Himalayas.
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