Ahmed Hassan

Academic

Verbatim text

-
Ahmed Hassan
.....-...
+923106253097, i211758@nu.edu.pk
'
Gulshanabad, Rawalpindi
-
Linkedln: https://www.linkedin.com/in/ahmed-hassan-270845250/
-
Education
Bachelor of Science (Data Science)
Major:
Eata Science, Deep Learning, Data Warehouse, Data Visualization, Data Mining, Machine
earning and Reinforcement Learning
Projects
Final Proiect; Ulingo - Personalized Urdu Voice Assistant[Ollama, Huggingface, Pytorch]
An Urdu voice assistant for students. It will not only provide tailored opportunities from Linked In but, also act as a friend to
have a daily conversation with.
>emester Proiects:
:omprehensive Forecasting System with User Interface
Trained ARIMA & Non-Linear Regression models on 5 years of BTC price data. Achieved 85% forecasting accuracy, reducing
error rates by 20% (RMSE, MAPE).
Predicting and Generating Video Sequences Using Deep Learning:
Developed a deep learning framework for video frame prediction UCF101 (13K+ videos). Implemented ConvLSTM,
DredRNN, and Transformer-based models, achieving 15% improvement in SSIM
mage Segmentation & Face Recognition on Using Machine Learning:
Developed a K-Means-based segmentation system, improving foreground extraction by 25%. Built a K-NN face recognition
model, achieving 92% accuracy on a lK+ face dataset.
Domain-Specific Chatbot Using Retrieval-Augmented Generation:
Built a domain-specific chatbot integrating Llama2 & Mistral, improving response accuracy by 30%. Implemented
:::hromaDB for vector search, reducing retrieval time to <lOOms per query.
Amazon Product Recommendation on System:
Developed a real-time recommendation system handling 128GB+ product data. Implemented Kafka & Spark streaming,
educing recommendation latency to <500ms
Building and Analyzing a Data Warehouse for Retail Business:
Designed a star-schema data warehouse with lOM+ sales records, optimizing data retrieval. Built a near-real-time ETL
pipeline, reducing data integration latency by 35%
Work Exoerience
Research Assistant, URDU X, Islamabad
June 23 - April 23
Developed a bilingual voice chatbot that communicates in both Urdu and English using
advanced Natural Language Processing (NLP) techniques. The chatbot is designed to
understand user queries, generate meaningful responses, and support real-time interaction
hrough speech and text.
Skills & Tools
Technical Skills
Machine Learning, Data Visualization, Natural Language Processing, Advanced Statistics, Deep
earning, Reinforcement Learning, Computer Vision, Video Synthesis, Big Data Analytics, Data
M ining, Python, Java, C++, SQL/NoSQL, JavaScript, R
Achievements
:::ertificate of employee of the month:
Gain certificate of employee of the month at Erise LLC.
Trainings I Certification
AWS Cloud Foundation Certification
:::ompleted AWS Cloud Formation course offered by AWS academy.
FAST NUCES ISLAMABAD CAMPUS
Ahmed Shayan Arsalan
+923085904447, shayanarsalan003@gmail cam
Islamabad
Linkedln: https://www.ljokedjn.com/in/abmed-shayan-46b014244/
Bachelor of Science (Data Science)
Major:
Data Science, Deep Learning, Machine Learning, Artificial Intelligence, Data Base, NLP
Bahria College ISB ,Rawalpindi
F.Sc (Physics, Chemistry, Mathematics)
Bahria College ISB ,Rawalpindi
Matriculation (Physics, Chemistry, Maths)
rojects
inal Pro "ect: SKILLSEEKER [Python, LLM, LangChain]
killSeeker allows layman users to find professionals that are best suited for their tasks, be it medical, legal based, or
emester Projects:
Next Image Generator [Deep Learning Python]:
Developed an Al-powered model that can predict future frames for any video as long as it's frames are discernable
ETL for Data Warehouse - METRO Shopping Store (SQI ,JS]:
Developed a real-time data warehouse utilizing the MESHJOIN algorithm for optimized data integration and
management.
tory Generation in Roman Urdu [NLP, Python]:
Created n-gram language models (unigram, bigram, and trigram) trained on classic Urdu short stories to generate
oherent narratives.
I/CD Pipeline [Python, Github, Jenkins]:
proper pipeline for an ML project that allows for Agile changes in any step via push commands, a complete end-to-
nd infastructure.
nalytical Thinking, Adaptability,Leadership ,Problem-Solving
June 2024-August
ython, C++, JavaScript; Tableau, D3.js, Matplotlib, Seaborn; Sci kit-learn, Keras, PyTorch,
ensorFlow; Hadoop, Kafka, MongoDB; Flask, Stream lit; Data Mining, Web Scraping, ETL
Pipelines
chievements
uccessfully worked with over 100 clients over the span of 2 years
chieved over $10K in funding/earnings working in KnevaTech
Trainings I Certification
• Fundamentals Of Visualization Using Tableau: University of California, Davis
• Python for Data Science, Al & Development: IBM
• Generative Al With Langchain and Huggingface: Ude my
Sports, E-sports, Movies
FAST NUCES ISLAMABAD CAMPUS

AI enrichment