HASSAN IFTIKHAR
DATA SCIENTIST
Islamabad, PK
-
-
LinkedIn: Hassan Iftikhar
PROFILESUMMARY
Proactive Data Scientist with a proven track record in deploying advanced machine learning solutions
to translate intricate datasets into strategic business insights. Skilled in deriving meaningful patterns
from vast data reservoirs, I am deeply committed to leveraging analytics to influence key business
decisions and bolster operational efficacy.
TECHNICALSKILL
Machine Learning: Linear/Logistic Regression, Naïve Bayes, Decision Trees, Random Forest, SVM, K mean
clustering, K-Nearest Neighbors, Random Forest
Deep Learning: Artificial Neural Network, Convolution Neural Network, LSTM, UNET, Multi class UNET,
Deep Learning on GCP
Database: MySQL, Google Big Query, MySQL Workbench
Statistical Methods: A/B Testing, Principal Component Analysis, Time Series, Bayes Law
Data Visualization: Google Data Studio, Python (Matplotlib, Seaborn), R(ggplot2), Tableau
Programming: Python (NumPy, Pandas, Scikit-Learn, Matplotlib, Seaborn, TensorFlow, PyTorch, SciPy,
Keras, OpenCV), MATLAB, C++
Extract Transform Load (ETL) Tool: Talend Data Studio
Cloud & DevOps: GCP, Dockers, Vertex AI, AWS Sage Maker, Google cloud run
WORKEXPERIENCE
Data Scientist
June 2022 - Present
Inspired Square FZE
• Designed and optimized ETL jobs to source data into cloud databases.
• Delved deep into data understanding and analysis, deriving actionable insights.
• Developed and deployed machine learning models for various data-driven objectives.
• Crafted customized data visualizations and intuitive dashboards.
• Conducted analysis to bolster revenue and elevate game performance metrics.
• Integrated seamlessly with existing databases and spearheaded the development of data
sourcing jobs.
• Executed A/B testing segmentation to drive targeted user experiences and improve KPIs.
Freelancer (Machine Learning)
Jan 2019 – June 2022
Self-employed
• Partnered with clients across sectors, providing tailored data solutions.
• Developed ML models such as LSTM and autoencoders for complex projects.
• Excelled in image segmentation using U-Net and multi-class U-Net.
• Implemented fault detection, enhancing system reliability.
Data Engineer
DCUBE Tech
Jan 2022 – May 2022
• Moving raw data (360 shots) in the form of batch from one server to another
EDUCATION
Bachelor of Science in Electrical Engineering
-
Namal University, Mianwali
PROJECTS
Retinal Vessel Segmentation and Diabetic Retinopathy detection
Role: Machine Learning Researcher
• Developed an innovative deep learning framework, enhancing retinal vessel segmentation.
•The model exhibited superior accuracy and sensitivity compared to prevalent methods.
ETL Optimization for Cloud Databases using Talend Data Studio
Role: Data Engineer
• Developed and refined ETL processes with Talend Data Studio for efficient data ingestion into
Google BigQuery via buckets.
Data Visualization & Dashboard Development
Role: Data Visualization
• Engineered custom visualizations and dashboards using React and Node.js, emphasizing
crucial company KPIs such as spend, retention, and ads per DAU.
• Automated graph generation for enhanced efficiency in data representation, with regular
updates through cron jobs
A/B Testing & User Segmentation
Role: Data Analyst & A/B Tester
• Executed comprehensive A/B testing on US users of the game Jupiter to understand user
preferences and enhance their experiences.
• Utilized advanced statistical methods and machine learning for detailed user segmentation
CERTIFICATION
•
•
•
•
•
Google Data Analyst - Google
Machine Learning by Andrew Ng - Coursera
Data Analytics Consulting Virtual Internship - KPMG
Python for Data Science – Solo Learn
Problem Solving, SQL – Hacker Rank
