Pathan Afnan Khan
@pathanafnankhan
Results-driven Data Scientist specializing in AI/ML solutions.
IndiaWhat I'm looking for
I am a results-driven Data Scientist with over 3 years of experience in designing, developing, and deploying high-impact AI and ML solutions across diverse domains. My expertise lies in leveraging state-of-the-art techniques in Natural Language Processing, Computer Vision, and Deep Learning using frameworks such as TensorFlow and PyTorch. I have a proven track record of transforming complex business challenges into scalable models, deploying solutions on cloud platforms like AWS, GCP, and Azure, and integrating them with production environments via REST APIs and CI/CD pipelines.
In my current role as a Data Scientist at GWENAI, I orchestrated the end-to-end development of AI-powered business intelligence tools, significantly reducing data processing time by 40%. I have also engineered advanced fraud detection systems and constructed scalable data pipelines, ensuring real-time access and reliability of deployed AI models. My previous internships have further honed my skills in time-series forecasting, KPI automation, and risk modeling, allowing me to deliver actionable insights that drive executive decision-making.
Experience
Work history, roles, and key accomplishments
Data Scientist
GWENAI
Jun 2024 - Present (1 year 1 month)
Orchestrated the end-to-end development of AI-powered business intelligence tools, slashing data processing time by 40%. Devised and deployed advanced fraud detection and object recognition systems using PyTorch and TensorFlow.
Data Science Intern
Techno Hacks
Jul 2024 - Present (1 year)
Designed real-time fraud detection pipelines with XGBoost and achieved 95%+ detection accuracy. Streamlined ETL workflows using SQL and Python, improving operational throughput by 40%.
Data Science Intern
BCG
Feb 2024 - Present (1 year 5 months)
Engineered advanced time-series forecasting models (LSTM/RNN), enhancing forecast precision by 20%. Automated KPI dashboards using Tableau & Power BI, reducing manual effort by 60%.
Artificial Intelligence Intern
Cognizant
Aug 2023 - Present (1 year 11 months)
Enhanced machine learning pipelines, reducing inference latency by 35% through model optimization and pruning. Built and deployed NLP classification models using Transformers and evaluated business impact on automation.
Data Analytics Intern
PWC
May 2023 - Present (2 years 2 months)
Developed AI-powered risk modeling systems and validated predictive accuracy across large-scale financial datasets. Constructed dynamic dashboards in Tableau for real-time insights and stakeholder reporting.
Education
Degrees, certifications, and relevant coursework
P.E.S College of Engineering
Bachelor of Technology, Electronics & Computer Engineering
2021 - 2025
Grade: 8.87
Studied Electronics & Computer Engineering at P.E.S College of Engineering. Focused on a curriculum that included both electronics and computer engineering principles. Achieved a GPA of 8.87.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
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