Hassan Iftikhar

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