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Satwik Behera

Data Scientist

dreamstudio

Technologies

My Portfolio Highlights

My New Course

Introduction to Python

Analytical conductor, harmonizing data symphonies for actionable insights.

My Work

Take a look at my latest work.

course

Introduction to Functions in Python

course

Introduction to Python

course

Intermediate Python

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

datacamp Machine Learning For Everyone Track

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

DreamStudio | Jul 2024 - Present

Data Scientist

N/A

California State University - East Bay | Aug 2023 - May 2024

Student Research Assistant

+ Data-Driven Decision Support: Utilized collected data and feedback to generate comprehensive reports and recommendations for the university, aiding in informed decision-making regarding the course's continuation and improvements. + Effective Communication: Maintained open channels of communication with students, faculty, and administration to ensure a transparent and constructive feedback loop for continuous course enhancement. + Student-Centric Approach: Demonstrated a commitment to enhancing the student learning experience by actively seeking and incorporating student opinions and preferences into course evaluations. + Enhancing Education Quality: Contributed to the university's mission of delivering high-quality education by providing valuable insights and recommendations for curriculum refinement.
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HighRadius | Jul 2021 - Jun 2022

Data Scientist (Treasury R&D)

+ Payment stoppage detection algorithm (anomaly detection) : Created a process to filter out customers who stopped paying to the client using past due amount buildup and z-score. Improved model accuracy by removing the outlier customers + Runtime and Memory Optimization: Optimized runtime and CPU utilization of ERP Data based Cash forecasting framework by 15% and 40% respectively, effectively improving implementation efficiency and reducing operation costs on 10%, on datasets with ~20M records by leveraging multiprocessing and data aggregation. + Cash Forecast and Variance Explainability Analytics: Conceptualized and productized analytical reports for clients to use to understand reasons for variances in the cash forecast at different component and granularity levels + Inheritable Config: Developed a Python script to recursively extract common configurations, reducing code redundancy by 98% and improving processing times from O(nn) to O(nlog(n))

HighRadius | Jul 2020 - Jun 2021

Data Science Intern

+ Model Migration: Spearheaded large-scale model migration effort, collaborating with 50+ trainees to transfer, test, and deploy legacy predictive models to a newer architecture, achieving a 99% success rate and reducing deployment time by 30%. + Model Benchmarking: Conducted comprehensive analysis of various neural networks (Vertex AI, Abacus AI, ARIMA+, Bi-LSTM, FB-Prophet) to identify top-performing models for cash forecasting, resulting in a 15% accuracy improvement over existing regression models and informing strategic upgrade decisions. + Document Classification Expertise: Designed and developed a CNN-based model for scanned financial document classification, streamlining remittance processing with 92% accuracy and reducing manual processing time by 40%. + Forecasting Framework Development: Created an innovative Invoice Payment Delay Prediction framework, leveraging Regression models (Linear, Bagging, Boosting) for accurate forecasting (~100 weekly) with a 12% increase in forecast precision, enabling proactive Collections Analyst optimization of Days Sales Outstanding and reducing outstanding invoices by 8%. + Quality Assurance : Ensured robust code quality by building a comprehensive Pytest testing suite, achieving 95% code coverage across forecasting modules and utilities, and reducing bugs by 20%.

MedTour | Jan 2020 - Apr 2020

Machine Learning Trainee

+ Medical Image Analysis : Implemented deep learning models for analyzing medical images (X-rays) to assist in diagnosing breast cancer. + Documentation : Made a detailed report covering the Theory, Methodology and Implementation of the project and visualized the problems + Healthcare Performance Analytics : Built a dashboard that tracks and analyzes their performance metrics, patient outcomes, and operational efficiency. + Health Risk Assessment Tool : Created an application that assesses an individual's health risk based on their lifestyle, medical history, and other personal data.

My Education

Take a look at my formal education

Master's degree, StatisticsCalifornia State University - East Bay | 2024
BTech - Bachelor of Technology, Computer Science and Information TechnologySiksha 'O' Anusandhan University | 2022
Higher Secondary Education, Biology, GeneralD.A.V. Public School, Bistupur | 2016

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