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Artificial Intelligence researcher and educator with a Ph.D. in Computing and Information Sciences (GPA 4.00/4.00) and 18 years of experience spanning teaching, educational technology, digital transformation, professional training, and applied research. Research expertise includes deep learning, representation learning, deep embedded clustering, time-series analytics, smart-grid load profiling, and AI-enabled educational systems. Developer of LSTM-DynAE and ConvLSTM-DynAE research frameworks, with experience in scholarly publishing, peer review, conference leadership, curriculum support, and technology-enhanced learning. Academic interests align with university teaching and research in Artificial Intelligence, Data Science, Computer Science, and Educational Technology.

Highly analytical and detail-oriented data professional with combined experience as a CRM Database Cleanse Officer, Data Analyst, and Data Scientist, specialising in data quality improvement, CRM data cleansing, business intelligence, and advanced analytics. Demonstrated success in managing large datasets, improving database accuracy, identifying trends, and producing insight-driven reports and dashboards that support strategic and operational decisions. Proficient in SQL, Python, R, Power BI, Excel, Salesforce, and Dynamics 365, with strong capability in data cleansing, ETL processes, data validation, statistical analysis, data visualisation, and performance reporting. Experienced in collaborating with cross-functional teams to strengthen data governance, optimise workflows, and deliver reliable, high-quality data solutions. Recognised for accuracy, problem-solving, and the ability to turn complex data into clear business value.

 Enthusiastic and motivated Data Science graduate from New York Institute of Technology (NYIT) with a strong foundation in data analysis, machine learning, deep learning, and statistical modeling. Skilled in Python, SQL, Tableau, and Power BI to extract insights, build predictive models, and visualize data for decision-making. Committed to leveraging data-driven solutions to solve business problems and optimize processes. 

Detail-oriented Computer Science graduate (First Class Honors) with professional experience in IT systems and data management. Expert in Advanced Excel (Macros, PivotTables, XLOOKUP) and data visualization tools like Power BI and Tableau. Proven ability to handle large datasets, maintain data integrity, and manage financial records (₦5M budget). Seeking to leverage technical precision and high-volume data processing skills as a Data Entry Specialist.

Amol Timsina

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DevOps Associate

DevOps Intern

IT & Infrastructure Support

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MSc - Data Science

High School Degree - Science, Physics

BSc - Computer Science & Information Technology

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MSc - Data Science

DevOps Associate

DevOps Intern

IT & Infrastructure Support

BSc - Computer Science & Information Technology

High School Degree - Science, Physics

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