Nazeefa Muzammil
NUST
· 2023
Email
nazeefa1609@gmail.com
Phone
923004481609
LinkedIn
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GitHub
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Academic
Program
BEE
CGPA
3.67
Year
2023
Education
SEECS
Address
P-246 SABINA TOWN SHIEKHUPURA ROAD FAISALABAD Faisalabad , Pakistan
DOB
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Career
Current role
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Target role
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Skills
Python, java, c++, octave, Recurrent neural networks, Data analysis, Quantum computing, Tensorflow, scikit-learn, Micro-controllers(pic, arduino), Tableau, power bi
Interests / quote
A scientifically rigorous, committed, and ingenious individual looking forward to grow professionally in the field of Machine Learning and Data Sciences. Open to constructive criticism to learn and execute my knowledge to solve dynamic problems using state-of-the-art solutions.
Verbatim text
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Nazeefa Muzammil Details Technical Skills Soft Skills Reference Cell: 923004481609 Email: nazeefa1609@gmail.com Address: P-246 SABINA TOWN SHIEKHUPURA ROAD FAISALABAD Faisalabad , Pakistan Python/java/c++/octave Recurrent neural networks Data analysis Quantum computing Tensorflow, scikit-learn Micro-controllers(pic, arduino) Technical reporting Tableau | power bi Improvisation Analytical thinking Coding Self-management skills Networking Organization Team management Communication and presentation To be furnished upon request. Professional Profile A scientifically rigorous, committed, and ingenious individual looking forward to grow professionally in the field of Machine Learning and Data Sciences. Open to constructive criticism to learn and execute my knowledge to solve dynamic problems using state-of-the-art solutions. Education BE Electrical Engineering School of Electrical Engineering and Computer Science (SEECS) , 3.67 Bachelors of Electrical Engineering National University of Sciences and Technology , 3.69 (2023) A Levels The City School , 3As (2019) O Levels The City School , 7As (2017) Internship Experience IoT Lab NUST ( 09-Jun-2022 - 20-Sep-2022 ) Testing and implementation of the state of the art models for time series forecasting Long short-term memory (LSTM), Seasonal Autoregressive Integrated Moving Average(SARIMA) Implementation was done using datasets available on Kaggle were observed closely for future power prediction of generated power thro Image Analysis Lab NUST ( 08-Jun-2021 - 16-Sep-2021 ) sub part of the Tsunami project initiated by Prime Minister Imran Khan, funded by Serena Hotels Machine learning algorithms used for object detection Satellite imagery of NUST used as the data set Front end user interface was developed using C++ Projects Cognitive Power Metering and Prediction using Edge AI Development of an initial solar panel testbed of 2kW A slave-master node network is developed using microcontrollers to record the weather parameters from the surroundings and upload it to a real-time database on Firebase Machine Learning models such as LSTM/SARIMAX are used for time series analysis, The f Instagram Reach Analysis and Prediction Data manipulation and cleaning was done using Pandas and Scikit Learn Data visualization was done using Seaborn and Tableau Linear regression used for prediction of the reach based on the various features available in the dataset Frequency Division Multiplexing MATLAB implementation of the project to modulate and compress different audio signals design of low pass and band pass filters to retrieve the original signal
AI enrichment
Nazeefa Muzammil is a 2023 Electrical Engineering graduate from NUST with a strong academic record and specialized experience in machine learning and data science. Her background includes internships focused on time series forecasting and object detection, alongside practical projects involving edge AI and data analysis.
Skills (AI)
["Python", "Java", "C++", "TensorFlow", "Scikit-learn", "LSTM", "SARIMA", "Data Analysis", "Tableau", "Power BI", "IoT", "Arduino", "PIC Microcontrollers", "Firebase", "Pandas", "Seaborn", "MATLAB", "Quantum Computing", "Recurrent Neural Networks"]
Status: ai_done