* Built and managed data pipelines to aid in data ingestion and data warehousing using
Hevo and BigQuery.
* Built analytics dashboards to aid Risk Officers in decision making.
* Worked on ad hoc analysis to aid Risk Officers have a better understanding of the distribution of borrowers
* Worked on ad hoc analysis to aid Risk Officers have a better sense of the distribution of possible financial gamers
* Worked on ad hoc analysis to aid Risk Officers track possible financial gamers
MPharma Data Inc. -------
* Built a knowledge base engine that classifies dispensations as accurate, inaccurate or suspicious. This helped the company to sanitise internal business data
* Built a web crawler which retrieves ATC-Codes of drugs stored in our formulary.
* Performed analysis on Internal Business Data for various stakeholders in the company.
* Built a payment system which has processed over 19,000 transactions
* Built invoicing system that aids mPharma to bill clients
Февраль 2017 – июнь 2017
5 месяцев
Software Developer
Inflexion Capital
Обязанности и достижения:
Inflexion Capital -------
* Developed a prototype price comparison engine which allows customers to compare and buy travel insurance.
* Developed a sentiment analysis engine using scikit-learn, to aid clients of Kudobuzz detect the sentiment behind reviews
* Developed a business dashboard using data mining techniques (mining business data) to aid the C.E.O and the product lead make strategic business decisions.
* Built third party integrations for Queueapp. These integrations allowed Shopify, Tictail, Bigcommerce, Storenvy and Woocommerce users to interact with Queueapp
* Built a prototype products search engine called Storeuno
Fido Lending Services -------
* Using K-Nearest Neighbour and a novel feature selection approach, I clustered customers of Fido Lending Services based on their addresses, thereby aiding Fido's
Chief Risk Officer build better models for predicting loan defaulters
* Using natural language processing, I analysed use of funds text of customers of Fido
Lending Services. This aided the Chief Risk Officer to design and build better models for predicting loan defaulters
* Using Pandas and SQL I wrote queries which converted semi-structured data to a structured form which aided the Chief Risk Officer to build better models for predicting loan defaulters
Analytical Skills, Analytics, Data Warehousing, Scikit-learn, Data Mining, Shopify, WooCommerce, Natural Language Processing, SQL, pandas, Machine Learning, Python Programming
Ответственность
Иностранные языки
Английский язык — cвободное владение
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