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

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

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.