Razi Haider Bhatti

Academic

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ATIONAL UNIVERSITY | I
Razi Haider Bhatti
+923325859683, razihaiderbhatti@gmail.com
Margalla Town, Islamabad
Linkedin: https://www.linkedin.com/in/razi-bhatti/
ay Github: https://github.com/Razi202
[Education
Bachelor of Science (Data Science) 2023
(Major: Data Science, Artificial Intelligence, Data Mining, Data Warehouse, Distributed Data Engineering, Machine
Learning Operations, Big Data Analytics, Data Analysis and Visualization, Advanced Statistics
Roots Millennium Schools, Islamabad 2019
‘A levels (Physics, Chemistry, Mathematics)
Roots Millennium Schools, Islamabad 2016
IGCSE (Physics, Chemistry, Computer Science)
Projects
Final Project: DriftCach: Enabling Drift in CacheJoin for Near Real Time Data Warehouse [Python, Scikit-Sklearn, SQL, MySQL,
Jupyter Notebook, ARIMA, Plotly]
Research oriented project to optimize semi-stream join operations between high speed stream data and master data in CacheJoin
algorithm using machine learning.
‘Semester Projects:
‘Meme Sentiment Analysis [Python, Pytorch, Neural Network, Jupyter Notebook, Pandas, Flask] :
Developed multi-modal Neural Network to classify the sentiment of memes via image and text processing.
Diabetes Detection using Eye Images [Python, Pytorch, Neural Network, Jupyter Notebook, Pandas]:
Segmented eye images were used with Convolutional Neural Networks to determine whether a person has diabetes or not.
‘Automated Answer Evaluation [Python, Transformers, Jupyter Notebook] :
(Created a semantic similarity based algorithm which evaluated answers of students on the basis of how close they were to the real
answer.
(MESHJOIN: Near Real time Semi-stream joins in Data warehouse [JAVA, SQL, MySQL] :
Implemented MESHJOIN algorithm to join multiple stream records with multiple master data records and populated a Data
arehouse.
'Multi-Node Hadoop Clusters [Azure, Python, Hadoop]:
[Created multi-node cluster on Azure to Map-Reduce large files using the Hadoop framework.
GYM Database Development [PHP, SQL, HTML, CSS]:
Designed and implemented a relational database fit for a gym to handle clients, trainers, equipment, etc.
Work Experience
Undergraduate Research Assistant, Datalnsight Lab, Islamabad. August 2022 - Present
(Optimized semi-stream join algorithms in Data Warehousing using Time series forecasting.
Al Engineering Intern, AIM Lab, Islamabad June 2022 - August 2022
Developed a program for Multi-lingual Video Emotion Detection using Deep Learning.
Developed an Urdu Language model based solution to tokenize compound words that appear to be
‘separate words and non related.
Skills & Tools
Professional Skills Leadership, Team player, Writing, Time Management
Technical Skills Python, R, SQL, C/C++, JAVA, JavaScript, Scikit-Sklearn, Pytorch, NLTK, spaCy, Pandas, ARIMA, NumPy,
Matplotlib, Plotly, Hadoop, Anaconda, Jupyter, MySQL, MongoDB, DynamoDB, Visual Studio, Visual Code,
Eclipse
Achievements
Dean’s Honor List for outstanding Academic Performance.
Runner-up position in the DataQuest NASCON’23 Data Science competition
Trainings / Certification
ARIMA Models in Python [DataCamp]
Interests
Sports, Playing video games , Reading books, Space exploration.
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Saad Ahmed
+923317450606, saadahmadbhatti127 @gmail.com
Islamabad
LinkedIn: https://www.linkedin.com/in/saadahmad127/
Education
Bachelor of Science (Data Science) 2023
Major: Data Science, Deep Learning, Data Analytics, Data Visualization, Data Mining and Machine
Learning
ILM College, Sargodha Punjab 2019
F.Sc (Physics, Chemistry, Mathematics)
Sanai School System, Sargodha Punjab 2017
Matriculation (Physics, Chemistry, Computer Science)
Projects
Final Project: DeTox [Python ,Deep Learning, Flask]
We have developed a multimodal system that utilizes images, text, and audio from a given Urdu video to identify and
classify toxic areas. To achieve this, we gathered and labeled a dataset of Urdu videos with toxic and non-toxic
‘content. The system identifies toxic areas within a video and visualized them on the frontend.
‘Semester Projects:
Hospital Readmission Prediction [Python, Machine Learning] :
‘A machine learning based project for prediction of hospital readmission.
Meme Sentiment Analysis [Python, Deep Learning, Flask]:
Implemented multimodal deep learning(text and image) network for predicting sentiment of a meme.
Performed ETL (Extract, Transform, Load) techniques on Metro Data and performed OLAP queries for analysis.
Database Management System For An Gym [MYSQL, PHP, CSS, HTML]:
Developed an gym database management system using SQL and PHP.
Data Dashboard Project [Javascript, D3.js]:
Implemented data visualization dashboard using D3.js for London boroughs tube stations.
Work Experience
Intern, AIM Research Lab, Islamabad. Jun 2022 - Aug 2023
Worked as intern and assisted in a projects like Autograder etc.
Skills & Tools
Professional Skills | Leadership, Interpersonal Skills, Communication.
Technical Skills Python, TensorFlow, SQL, No SQL, Sci-kit Learn, Numpy, Pandas, Matplotlib, Seaborn, Plotly, ETL,
HTML, CSS, Flask
Achievements
‘Awarded with Scholarship of no tuition fee at college level.
Runner-up at NASCON’21 (HackOverFlow)
Trainings / Certification
Neural Networks and Deep Learning
Interests
Playing Strategy games, movies

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