Akshada Shinde
Data Analyst | ML | TCS | COEP’20
- Role
- Data Analyst at Tata Consultancy Services
- Location
- Pune, MH, IN
- LinkedIn followers
- 500 followers
About Akshada Shinde
4+ years of experience in Data science with a strong background in statistical analysis, data visualization, machine learning & deep learning. Excited to implement AI solutions to solve real-world business problems. Proficient in querying and manipulating data using Python. Possesses an excellent understanding of machine learning and statistical modeling algorithms for extracting actionable insights from data.
Experience
Data Analyst
Jan 2023 — Present · Pune, IN
Conducted data preprocessing and feature engineering using PySpark, python, Hadoop, Hive, Impala and SQL- Developed and Deployed debit card fraud detection model using Isolation Forest, identifying anomalies with high precision and reducing fraud losses by 20% through effective anomaly detection and real time transaction monitoring- Conducted in-depth fraud analysis across various financial statements, achieving a low false positive rate in identifying and mitigating risks- Addressed a class imbalance in a supervised classification to optimize model performance and reduce bias- Developed fraud strategies to address merchant-level and card-level fraud by developing targeted preventative measures, leading to improved operational efficiency and reduced fraud losses- Evaluated model performance based on fraud $ detection using good to bad ratio, ensuring optimal trade-offs for high-risk transaction identification
Education
Government College of Engineering And Research,Pune
Bachelor of Engineering
2013 — 2017
College of Engineering Pune
Master of Technology - MTech
2018 — 2020
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.