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Summary
An avid reader looking forward to make a career in data sciences.
I have been professionally working in the field of data sciences since my graduation in 2016. Before that, I formally studied subjects such as Text Mining, Information Retrieval, Machine Learning and Data Mining along with successfully completing relevant projects.
My personal interest falls in reading books especially history and biographies with A Long Walk To Freedom by Nelson Mandela being most treasured.
Projects
Experience
Data Engineer
My work portfolio at NexDegree comprises over a range of clientele which includes but is not limited to, classification for the financial sector, loan risk prediction for micro-finance sector, sales forecasting for an FMCG multinational company and driver scoring model for vehicle tracking and insurance purpose. The aforementioned tasks were achieved after implementing a complete data pipeline process; Data Cleaning, Merging, Exploration, Transformation, Feature Engineering, Modeling & Parameter tuning.
A key responsibility in order to successfully complete the projects was also to conduct meetings with the client as well as present results while utilizing my public speaking experience.
Languages: Python, R, SQL
Tools: Tableu, RapidMiner, MySQL Workbench, Microsoft Excel, Microsoft PowerPoint
Machine Learning Developer
My work at FamGlobal mostly comprised of Natural Language Processing. In my work experience at the said organization, I remotely worked in the development of recommendation engines, test classification, text clustering and NLP.
Programming languages worked on; Python, R
Tools: ElasticSearch, PredictionIO, Microsoft Excel, Jira for project management
Libraries: NLTK, Sklearn, matplotlib, pandas
Intern
Primary role: Configure and generate Business Intelligence reports on Temenos\'s Insight, a BI tool for Banks.
Worked under a Technical Consultant and assisted him in the business intelligence module. Additionally, witnessed and assisted walkthrough training of client as well.
