Md Ahsanul Haq

Dates Employed: Feb 2024 - Present Employment Duration: 7 months+ Company Name: Cliqpack Ltd. Location: Mohakhali DOHS, Dhaka, Bangladesh
Responsibilities:
• Designing and implementing ETL pipelines for web scraping data, transforming it into the desired format, and loading it into AWS RDS and S3 buckets, leveraging data engineering principles and tools.
• Developing Python scripts to extract data from diverse websites through web scraping, applying data engineering techniques for robust data acquisition and transformation.
• Developing an ETL-based migration tool to transfer data from a source system to a target system.

Dates Employed: Mar 2022 - Feb 2024 Employment Duration: 1 year 11 months Company Name: Apurba Technologies Ltd. Location: Mohakhali DOHS, Dhaka, Bangladesh

Responsibilities:
• Curated and engineered high-quality datasets to support the training of machine learning models.

Skills: Big Data Analytics · Python · Data Structures · Teamwork · Data Scraping · Data Analysis · Critical Thinking · MySQL · PostgreSQL · Microsoft Excel · Data Engineering · Data Modeling · Data Collection

Data Engineer -AI, NLP, BlockchainData Engineer -AI, NLP, Blockchain

Skills: Extract, Transform, Load (ETL) · Big Data Analytics · Python · Data Structures · Teamwork · Data Scraping · Data Analysis · Critical Thinking · MySQL · PostgreSQL · Tableau · Microsoft Excel · Microsoft Power BI · SQL · R (Programming Language) · Hadoop · Statistical Data Analysis · Data Modeling · Data Management · Data Visualization · Data Collection

projects.
• Demonstrated proficiency in Python, SQL, and data engineering frameworks for data manipulation and transformation.
• Implemented data engineering best practices, optimizing pipelines for scalability, efficiency, and performance.
• Utilized data visualization tools to present insights and facilitate data-driven decision-making.
• Proactively addressed data-related challenges, ensuring smooth data flow and minimal disruptions in the data pipeline.
• Documented APIs using Postman, ensuring comprehensive and developer-friendly integration.
• Collaborated with the Technical Documentation team to produce accurate and detailed technical documentation (SRS, SDD, Inception Report, Technical Report, Technical Proposals etc.).
• Performed rigorous quality assurance testing to validate data accuracy and uphold predefined standards.
• Developed JIRA task management dashboard for efficient project management and workflow tracking.
• Engaged in project meetings with the business development team to understand data requirements and contributed insights.

Designation: Data Engineer (Full-time) - Artificial Intelligence, Natural Language Processing & Blockchain Dates Employed: Apr 2019 - Feb 2022 Employment Duration: 2 Year 11 Months Company Name: eGeneration PLC. Location: Gulshan-1, Dhaka, Bangladesh
Responsibilities:
• Developed high-quality and relevant training datasets for ML models.
• Implemented robust data acquisition techniques for diverse datasets.
• Applied advanced data filtering and cleaning techniques to enhance data quality and ensure accurate analysis.
• Created efficient preprocessing pipelines (normalization, augmentation) for enhanced training data.
• Conducted data annotation and labeling for accurate supervised learning.
• Employed data alignment and structuring techniques for compatibility and organization.
• Collaborated with domain experts for optimal model performance.
• Performed data validation and evaluation.
• Managed data systems and workflows for storage, versioning, and reproducibility.

Dates Employed: Jan 2019 - Mar 2019 Employment Duration: 3 months Company Name: eGeneration PLC. Location: Gulshan-1, Dhaka, Bangladesh
Responsibilities:
• Successfully completed comprehensive three (03) months Data Science training program under Fast Track Future Leader (FTFL) Training Program of Leveraging ICT for Growth, Employment and Governance (LICT) project of Bangladesh Computer Council (BCC), ICT Division, Bangladesh Goverment.
• Acquired practical skills and knowledge in various aspects of data science, including data preprocessing, exploratory data analysis, feature engineering, and predictive modeling.
• Gained expertise in using popular data science tools and programming languages such as Python, R, and SQL.
• Worked on real-world data science projects, applying learned techniques to solve complex business problems and provide actionable insights.