Work Experience

Data and Applied Scientist II - Microsoft

Feb 2022 - Current

I am currently working in the cloud supply chain team as a machine learning engineer with focus on building large-scale data processing systems.

Technical Instructor - Interview Kickstart

Nov 2023 - Current

I am currently working as a technical instructor at Interview Kickstart. I teach industry professionals topics including

• Python
• Machine learning
• Deep learning
• Data analytics

Data Scientist - Tech9

Dec 2019 - Feb 2022

Engineering

• Developed a serverless GraphQL Backend on Google Cloud
• Developed ETL pipelines on apache airflow (Cloud Composer with GKE)
• Designed the database schema for the application from ground up.
• Developed CI/CD pipelines for faster and reliable code delivery
• Developed loosely coupled, event-based, cloud native micro-services

Machine learning

• Developed a classification model to categorise financial transaction and predict transaction categories
• Developed a classification model to find website that solely exist to boost the ranking of target websites in search engines

Programmer Analyst - Octathorpe

Dec 2017 - Nov 2019

• Developed tree-based machine learning models for user segmentation and classification that resulted in a 30% increase in the revenue across projects
• Developed machine learning models for revenue forecasting and risk assessment
• Implemented new frameworks like firebase for better data collection, spark for processing bigger datasets
• Developed play store scrapers to find the best keywords for data-driven app store optimization
• Conducted statistical data analysis on user data to improve key business metrics like day 1 retention, from 12% to 25%
• Created data visualization dashboards and decreased the product turnaround time by 40%
• Improved user engagement by carrying out data-driven A/B experiments
• Developed ETL pipelines for processing the clicks and interactions data of users
• Optimized queries to reduce the costs incurred in querying data from bigquery

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Technical Skills

• Languages: Python, R, C++, Java, SQL
• Frameworks: Pytorch, PySpark, Keras, Fastai, Pandas, Numpy, Sklearn, Plotly, Matplotlib, SparkML, nltk, SpaCy
• Technologies: Bash, Git, UNIX, Google Cloud, AWS, IBM Cloud
• Databases: MySQL, SQLite, MongoDB, HDFS, Amazon Data lake, BigQuery, IBM object storage

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Certifications

• Advanced Data Science with IBM (4 course specialization)
• IBM - Applied Data Science Capstone
• Google Cloud - Data Engineering on Google Cloud specialization

All certifications

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