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Data scientist – Data Engineer
A highly competent data scientist with seven years of experience developing a wide range of models like Credit Scoring, Predictive Segmentation & RFM, and Customer 360 etc. Ability to use (data) statistics and machine learning for finding complex data patterns that drive meaningful impact on the business.
I am looking for the opportunity to build a challenging career and apply my skills in an innovative and simplify process. I enjoy working in a team and communicating data-driven results.
- PowerBI & Tableau
- Predictive RFM model (Nepal-Ncell): predictive segmentation model based on 12 Million subscriber’s historical behaviour (recency, frequency and monetary), used in campaign management.
- Gross Adds Optimization (Bangladesh-Robi): Contributed to the project by building timeseries models to predict Add back’s ARPU and subscriber count at state level.
- Next Best Action – NBA (Celcom-Malaysia): Contributed in development of Celcom NBA which helps personalize the offers using subscriber’s historical purchase data.
- Data management and pipelines (Malaysia-Apigate): Synchronizing more that 1T of data between AWS and GCP datalake, design and implement more than 80 daily, hourly and near real-time pipelines.
- Stretch model (Malaysia-Apigate): Help business team to identify segment of customer that can be targeted as recoverable revenue by processing up to 1 billion records of transactional data.
- Customer journey (Malaysia-Apigate): end to end segmentation model of transactions that help business team apply data driven decisions on products and content providers.
Big Data Analyst
- Credit Scoring (Sri Lanka-Dialog): Developed different models for fintech microlending and cross selling, based on telco subscriber’s products usage and transactional behaviour and retail revenue and transactional history.
- DRIP – Predictive Customer Segmentation (Nepal-Ncell): Developed predictive models for customer ARPU and data usage segmentations based on 10 million customer’s historical data. Output of predictive model is used in campaign management which produced incremental revenue.
- As team member to perform research and development in field of cloud computing and edge computing which led to creation of a platform called Mi-Focus. This platform was used by ministry of Health to deploy Teleprimary Care – Oral Health Clinical Information System (TPC-OHCIS) at clinics in Malaysia.
Master of Computer Science
Bachelor of Computer Science & Networking
Stock Price Prediction
Use the Sentiment Analysis Algorithms to understand the stock sentiments.
Project: Twitter Sentiment Analysis
Tools: NLTK, Python
Algorithms: Sentiment Analysis
Stock Recommender Systems
Recommender systems have become the most popular feature of the stock market. We have developed a artificial intelegint stock recommender tool using the Deep Neural Networks and classification algorithms
Tools: Python, sklearn
Algorithms: Deep Neural Networks, classification algorithms
Customer Support System
Customer support has become a challenging job for every business. We build a “customer support system” to address and support the needs of the customers.
Tools: OpenCV, Python
Algorithms: Convolution Neural Network and other facial detection algorithms
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