DATA SCIENTIST

DATA SCIENTIST

• IT COMPANY
• March 1, 2021 - continue

✓Anomaly & Emergent Behavior Detection in real-time. Saved a lot ofrncomputing and human resource spent on anomalous datarn✓Used pretrained embedding like bert, glove and pre-trained models likernspacy to train and detect PII fields.rn✓Trained a NLG (Natural Language Generation) model to generate data qualityrnrules.rn

DATA SCIENTIST

• IT COMPANY
• March 1, 2020 - continue

✓Founded startup which summarises news in 60 words for arabic users.rn✓Grew company from idea to a user base of 10k.rn✓Developed a sophisticated language model to summarize arabic news atrnscale.rn✓Built a competent team of developers and digital marketer from scratch andrntrained them.rn✓Lead the product design, development team and Marketing Planning.rn

DATA SCIENTIST

• IT COMPANY
• December 1, 2019 - March 31, 2021

✓Applied statistical modelling and data mining techniques to understand andrnpredict app build deployment behaviour.rn✓Understand business needs and requirements to translate into conceptualrndesignsrn✓Developed language model for topic extractionrn✓Maintained operations data from across the organization in hadoop datarnlake.rn✓Involved in developing and testing of the ETL strategy to populate the data inrnthe dashboard from various source systems.rn✓Analyse covid-19 effect on ANZ’s operation and transactions for situationrnmanagement.rn✓Developed MapReduce jobs in Python for log analysis, analytics, and datarncleaning.rn

DATA SCIENTIST

• IT COMPANY
• March 1, 2019 - December 1, 2019

✓Work with product managers to formulate the business problem.rn✓Built crop detection capabilities at scale using time series, multi-spectral andrnphenology features derived from remote sensing datarn✓Applied advanced machine learning models like CNN’s, RNN’s for croprndetection, yield estimation and anomaly detection to improve the capabilitiesrnof detecting closely matched crops, inter-cropping, mixed-cropping and smallrnfarm sizes.rn✓Worked on creation of curated and cleaned crop signatures to detect cropsrnat plot to state level while being region agnosticrn✓Fused multi-sensor satellite data for improving historic data analysisrncapabilitiesrn✓Crop stage prediction using time series forecasting and Recurrent NeuralrnNetworksrn✓ Complete Machine learning development lifecycle using mlflow and awsrnsagemaker for model training, testing and deployment.

B.Tech