Rakibul Hasan Email & Phone Number

Dhaka, Bd

Programming Languages: Python, RData Analysis Tools: SQL, Hive, PandasDatabase Management: OracleMachine Learning Frameworks: TensorFlow, Keras, Scikit learnTuning: AML detection scenarios across various banking products (e.g. Trade, CASA) • Gained extensive data analysis experience across various banking products, including CASA, TRADE, FSS, and CREDIT CARD, utilizing Hive, Oracle SQL, and Pandas to derive actionable insights and support strategic decision-making.• Contributed to developing, white box testing and debugging automation toolkits (ATK) (Python and Oracle/Hive) for risk generation, sample generation, BTL and enhancing efficiency in financial risk management.• Exhibited strong communication skills across QA, FCC, and PMM teams, effectively facilitating cross-functional collaboration, addressing issues, and aligning project objectives.• Acquired various Standard Chartered certifications in Financial Crime and Compliance, enhancing expertise and understanding of regulatory and compliance standards in the financial sector.• Engaged in data manipulation, statistical analysis, and machine learning model development using Python and R.• Implemented automation strategies using Python and machine learning frameworks to optimize operational routines.• Collaborated with cross-functional teams to integrate analytical solutions into BAU processes, improving risk management and compliance.

Gulshan, Dhaka, Bangladesh

Financial Services, Robotic Process Automation, Machine Learning, Data EngineeringLanguage: Python, MSSQL, SQL•Develop an artificial neural network-based liveness detection model to prevent spoofing in online face verification process.•Led a team of Python developers in the development of a data analytics, automation, and chatbot platform for a major client.•Designed and developed robust data pipelines for cleaning, processing, and transforming large volumes of data.•Spearheaded the adoption of new technologies, including Hadoop and airflow, to enhance data processing capabilities and reduce latency.•Developed RESTful APIs using Django Rest framework to support various web applications and services.•Created Robotic Process Automation (RPA) tools using Selenium, PyAutoGUI, and Machine Learning to improve efficiency and reduce manual labor.•Designed and developed a chatbot using NLP and deep learning models, such as LSTM and Transformer, to improve customer engagement and support.•Built document and PDF extraction tools using OpenCV and Tesseract OCR to facilitate data processing and analysis.•Utilized image processing and computer vision techniques using OpenCV, PIL, and Scikit-image to develop image recognition and analysis applications.•Implemented multiprocessing to optimize project performance resulting in a 4-6x increase in processing speed.•Collaborated with cross-functional teams to solve complex problems and drive innovation.•Implemented face recognition system using deep neural network.•Created a workflow using AWS Amplify, Amazon Cognito, and AWS Lambda to enable seamless integration with AWS Rekognition for facial recognition.

Dhaka, Bangladesh

pySpark, Recommender SystemLanguage: Python•Developed a recommender system using Apriori and FP-Growth algorithms to enhance the user experience and increase sales.•Conducted data analysis and manipulation using PySpark and Pandas to support various business needs like market basket analysis, and customer segmentation.•Worked with the development team to integrate the recommender system into the E-commerce website.•Conducted extensive testing and validation to ensure the accuracy and reliability of the recommender system.

Bangladesh

Speech Recognition, TTS, ChatbotLanguage: PythonFramework/package: Tensorflow, Keras, Kaldi•Developed a chatbot using RASA and other NLP libraries to providecustomer support and improve customer satisfaction.•Collaborated with the team to design and implement various NLP features,such as sentiment analysis and intent recognition.•Developed a speech recognition system using Kaldi for a research project.•Conducted testing and validation to ensure the accuracy and reliability ofthe chatbot

Bangladesh

•Developed an advanced AI chatbot from scratch using NLP and MLtechniques.•Designed smooth conversational flow with context management.•Employed TensorFlow, PyTorch, and spaCy for accurate user inputunderstanding.•Integrated APIs and databases for real-time data and task execution.•Enabled sentiment analysis for appropriate emotional responses.•Enhanced performance iteratively through data-driven methods.•Collaborated with UX/UI for engaging user interface design.•Tested extensively across platforms for consistent functionality.•Incorporated user feedback, boosting retention and satisfaction.•Documented architecture and decisions for easy knowledge sharing.