Manahil Kamran

Academic

Verbatim text

Manahil Kamran
+923315313967, manahilkhan74425@gmail.com
Media Town, Islamabad.
Linkedln: www.linkedin.com/in/manahil-kamran-khan7 4425/
omputer Vision, Data Analytics & Visualization, Datamining, Data Warehousing, Big Data
, Machine Learnin and Generative Al.
rivate Candidate, Islamabad, Punjab
Levels {Physics, Chemistry, Biology)
rojects
inal Pro'ect: Enhanced Driver Assistant [Mobilenet-V2, MediaPipe, Mongo DB, JetsonNano, Raspberry PiS]
n Al-powered driver monitoring system that enhances road safety by detecting drowsiness, distractions, and lane
epartures. This project integrates deep learning models for real-time analysis of driver behavior, coupled with OBD-11
ensor data to evaluate risky driving patterns. The models were optimized using TensorFlow Lite to ensure efficient
eployment on edge devices like NVIDIA Jetson Nano with voice alerts and performance report generation.
eal-Time Product Recommender System with Big Data Processing [Python, Apache Spark & Kafka, EDA, Flask] :
eveloped a live system to process, analyze, and stream Amazon product data for personalized recommendations
redicting and Generating Video Sequences Using Deep Learning[Python, Deep Learning, Streamlit]:
eveloped a video prediction model that generates future frames based on short input sequences from the UCF101
ataset using models like Convolutional LSTM (ConvLSTM), PredRNN, and Transformer-based model
eal-Time Data Warehouse for Electronica Business Using HYBRIDJOIN [Java, MySQL, ETL, PL/SQL]:
TL pipeline for the Electronica Business Chain with a multi-threaded algorithm for efficient transaction processing
oman Urdu Emotion Detection and Response Generation [Python, LLM]:
System Integrating LLaMA3.2 with 3b parameters with RAG implementation using Reinforcement learning
enre Prediction based on Movie Dialogue with Interactive Visualizations [NLP, D3.js, Flask, JavaScript]:
erform NLP tasks on the Cornell Movie Dialo sand develo interactive D3.'s visualizations on the user interface
esearch Assistant, Knowledge Data and Discovery Lab, Islamabad.
Apr 2024 - Apr 2025
orking on Deep Learning, Edge Computing, Data Mining and Data Visualization
earn Lead (Data Science), Codie Solutions, Brooklyn, New York.
July 2024 - Sept 2024
orked on lead generation project, using web scrapping, Figma, Gradio, Firebase DB
ata Science Intern, Technocolab Softwares, Indore, India.
July 2023 - Sept 2023
orked on corporate bankruptcy prediction usin EDA, ML and deployment on AWS cloud
kills & Tools
rofessional Skills
xceptional leadership, teamwork, load management, and Cl level communication.
ython, C++, R, C, Ollama, LLMs, Tensor Flow, Keras, Mediapipe, OpenCV, Sci-kit learn, NumPy,
andas, SciPy, Matplotlib, D3.js, EDA, selenium, MySQL, MongoDB, web scrapping, Tableau,
ache Hadoo , S ark, Kafka, Java, ETL, Html, CSS, JS, Flask, React, MERN.JS
x Position Medalist and Dean's List of Honors in Bachelor's Degree with a 3.68 CGPA at Fast University, Islamabad
ttended a seminar on 'Deep Learning' by NUST University
ttended Worksho of Hands-on MLOPs at Genes s Lab, Fast Universit , Islamabad
ctivities
ead of "Operations" in Fast Data Science Society
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