Hi, I’m
Ekta Akhedi
Junior Data Scientist
Mumbai,MH
Work Preference
Summary
Computer science graduate with 3+ years of software engineering experience specializing in Ruby on Rails technology. Developed robust and efficient software solutions. Completed comprehensive course in data science with focus on machine learning. Actively seeking Data Scientist opportunities to apply knowledge and showcase proficiency. Strong work ethic and passion for continuous learning. Eager to contribute to innovative projects and enhance skill set.
Overview
3
years of professional experience
2020
years of post-secondary education
2
Certification
Work History
Spinnaker Analytics
Data Scientist Intern
09.2025 - Current
Job overview
- Built complete end-to-end data science pipelines, ensuring effective data processing, model selection, tuning, and deployment to achieve optimal accuracy and performance.
- Created and presented detailed project presentations to explain insights, results, and recommendations clearly to stakeholders.
- Presented findings through clear visualizations and reports, facilitating effective communication with non-technical team members.
- Improved data quality and accuracy by implementing rigorous validation processes during preprocessing stages.
- Utilized various statistical methods to analyze large datasets, generating valuable insights for stakeholders.
Presto
Software Engineer
12.2023 - Current
Job overview
- Provided guidance on best practices for code optimization and reusability for junior developers.
- Provided technical solutions to address raised defects in live environments.
- Executed application deployment to production under mentor's guidance.
- Integrated machine learning models (Random Forest, XGBoost) into production workflows with APIs for real-time prediction.
- Automated data validation, preprocessing, and report generation pipelines, reducing manual analysis time by 40%.
- Collaborated with cross-functional teams to deploy analytical dashboards on Power BI for monitoring transaction patterns.
Solute Technolabs
Software Engineer
06.2021 - 12.2021
Job overview
- Developed straightforward database frameworks using client-supplied data.
- Engineered API enhancing functional capabilities of the application.
- Provided assistance in resolving live application bugs.
- Crafted efficient and sustainable code for application.
- Created comprehensive testing strategies for newly written code.
- Implemented machine learning model.
Solute Technolabs
Junior Software Engineer
05.2019 - 12.2020
Job overview
- Delivered high-quality code on time, contributing to overall project success.
- Contributed to innovative solutions with thoughtful problem-solving techniques.
- Documented software development methodologies in technical manuals to be used by IT personnel in future projects.
- Delivered completed products within project deadline.
- Learned Machine learning model and implemented in our system.
Solute Technolabs
Software Engineer Intern
12.2018 - 04.2019
Job overview
- Applied newly learned programming techniques in active software environments.
- Collaborated with developers to troubleshoot and resolve software issues.
- Analyzed software performance metrics to identify areas for improvement and implement necessary changes to optimize system efficiency.
- Worked closely with peers to identify issues and provide suitable resolutions.
- Demonstrated strong problem-solving skills by troubleshooting complex technical issues during the development and testing phases of software projects.
Education
Marwadi Education Foundation Group of Institute
Bachelor Of Engineering Technology from Computer Engineering
University Overview
Learned
Skills
Data Science
undefinedCertification
Data science with machine learning
Project
Project
1. Fraud Detection System (Machine Learning Web App)
Tech Stack: Python, Scikit-learn, Streamlit, XGBoost, AWS, Power BI
- Built a fraud detection application using ML algorithms (Random Forest, XGBoost) with an interactive Streamlit dashboard.
- Implemented DBSCAN and Isolation Forest for anomaly detection and visualized clusters via PCA projections.
- Integrated model retraining and deployment workflow for dynamic fraud identification on cloud (AWS).
- Created Power BI dashboards for fraud trend analysis, improving investigation efficiency by 30%.
Tech Stack: Python, Pandas, Scikit-learn, Matplotlib, K-Means, DBSCAN
- Conducted zone-wise clustering to identify customer spending patterns and risk zones.
- Developed reusable scripts for automated EDA, scaling, and cluster profiling, ensuring reusability across projects.
- Enhanced interpretability by applying PCA for visualization and Silhouette metrics for model validation
Accomplishments
Accomplishments
- Mentored new employees to bring them up to speed on projects, resulting in quicker overall completion milestones.
- Resolved product issue through consumer testing.
- Collaborated with team of 2 in the development of Project.
Availability
See my work availability
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Available
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Timeline
Data Scientist Intern
Spinnaker Analytics
09.2025 - Current
Software Engineer
Presto
12.2023 - Current
Software Engineer
Solute Technolabs
06.2021 - 12.2021
Junior Software Engineer
Solute Technolabs
05.2019 - 12.2020
Software Engineer Intern
Solute Technolabs
12.2018 - 04.2019
Marwadi Education Foundation Group of Institute
Bachelor Of Engineering Technology from Computer Engineering
05.2019