Open to opportunities

Swagata Dutta

@swagatadutta

Message

Results-driven Data Professional with expertise in machine learning.

Canada

Message

What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my data expertise to drive impactful solutions and contribute to a dynamic team.

As a results-driven Data Professional with 4 years of experience, I specialize in designing and deploying machine learning models and algorithms. My proficiency in Python, TensorFlow, and deep learning techniques allows me to create innovative data-driven solutions. I thrive in collaborative environments, working closely with cross-functional teams to deliver impactful results.

Throughout my career, I have successfully optimized ETL pipelines, enhancing data processing efficiency and reliability. My experience at Samsung involved developing insightful Tableau dashboards that accelerated decision-making and improved threat identification. I have also made significant contributions to risk assessment models at Moneyview, showcasing my ability to leverage data for strategic insights.

Experience

Work history, roles, and key accomplishments

Current

Business Intelligence Engineer

Current

Samsung

Apr 2023 - Present (2 years 1 month)

As a Business Intelligence Engineer at Samsung, I optimized ETL pipelines, significantly reducing data processing time and improving data reliability for production dashboards. I developed ETLs using Apache Spark and created Tableau dashboards for fraud detection, enhancing decision-making and stakeholder communication.

ETL Apache Spark Tableau Python SQL Apache Airflow Data Processing Data Analysis Dashboard Development

Risk Model Developer

Moneyview

Apr 2022 - Nov 2023 (1 year 7 months)

At Moneyview, I developed risk models for loan customers, improving risk assessment and differentiation. I utilized secondary information to enhance risk predictions and implemented ETL processes for large data volumes, ensuring real-time visibility into model performance.

Risk Assessment ETL Data Analysis Python SQL Data Modeling Stakeholder Engagement Data Processing Machine Learning

Data Scientist

SpiceMoney

Jun 2019 - Apr 2022 (2 years 10 months)

As a Data Scientist at SpiceMoney, I created predictive models for churn reduction and developed algorithms for agent tracking and lead recommendations. I integrated facial recognition for KYC processes, improving onboarding efficiency and created dashboards for business performance indicators.

Machine Learning Data Analysis Python SQL Dashboards Facial Recognition Algorithm Development Data Visualization Business Intelligence

Machine Learning Engineer

DataToBiz

Oct 2018 - Jun 2019 (8 months)

In my role as a Machine Learning Engineer at DataToBiz, I developed a face attendance system and a recommendation engine that significantly increased app engagement. I also prepared a credit risk model with high precision for a Telco client, showcasing my expertise in machine learning applications.