About

Palak Makhija is a skilled Data Scientist with over 5 years of experience in building data-intensive applications and executing data-driven solutions to increase efficiency, accuracy, and utility of internal data processing. Currently working as a Development Analyst at Sunlife Financial Services Pvt. Ltd., Palak has a proven track record of developing predictive models, data processing, data wrangling, and data mining algorithms using scripting languages like Python. Palak is proficient in handling imbalanced data sets and has developed statistical modeling with highly imbalanced data sets, resulting in a reduction of misclassification rate from 0.92% to 0.69% and an increase in ROC AUC metric from 0.84 to 0.95. She has also worked on various design tasks related to cloud ETL pipeline and productionizing machine learning models. Palak is a primary interface for the cloud group (AWS Services) and has worked on multiple AWS services such as AWS SageMaker, AWS S3, AWS Lambda, AWS Cloudwatch, AWS Glue, AWS CLI, AWS SNS, AWS SQS, and AWS Ec2. Palak has a Bachelor of Technology degree in Computer Science from Manav Rachna University. She is a team player and has excellent analytical and problem-solving skills. She is passionate about innovation, learning, and technology. Palak has the ability to meet deadlines and handle multiple tasks, and she possesses good communication skills with the ability to interact with individuals at all levels. Palak's tech stack includes AWS, ML, Sagemaker, Data Scientist, Research Scientist, test, Python, AWS Glue, SQL, ETL, Jupyter, Docker, XGBoost, Web, AWS ECR, Data Engineering, Scikit, CI/CD, Big Data, SDET, Pandas, Hadoop, and Apache Hive. With her extensive experience and expertise, Palak is an asset to any organization she works for.