Avinash Kanumuru
Verified Expert in Engineering
Data Science Developer
Bengaluru, Karnataka, India
Toptal member since December 1, 2020
Avinash has over 13 years of experience in data science and artificial intelligence, specializing in driving the development of scalable data and ML services within the dynamic landscape of fintechs. Driven by an insatiable curiosity and a relentless pursuit of excellence, Avinash is deeply passionate about leveraging emerging technologies to deliver automated solutions that address pressing business needs while continuously expanding his skill set to remain at the forefront of innovation.
Portfolio
Experience
- SQL - 13 years
- Data Science - 10 years
- Pandas - 8 years
- Python - 8 years
- Scikit-learn - 8 years
- Artificial Intelligence (AI) - 8 years
- Machine Learning - 8 years
- Deep Learning - 5 years
Availability
Preferred Environment
Git, Linux, Python 3, Visual Studio Code (VS Code), MacOS
The most amazing...
...project I've developed was a machine learning algorithm to extract transaction tables from PDF bank statements and categorize them for credit underwriting.
Work Experience
Manager | Advanced Analytics AI/ML
Standard Chartered
- Designed and built an in-house modular solution in Python for AutoML covering all aspects of MLOps, from data preparation to model explainability and packaged deployment.
- Built the algorithmic decision framework for credit cards and unsecured lending using an in-house AutoML solution.
- Led data scientists in building predictive models like engagement score, segmentation, and churn models.
Senior Manager | Decision Science
HSBC
- Developed an ensemble classifier to categorize transactions into various cash flow heads and assess customers' repayment capability for lending purposes.
- Developed the capability to extract transactions from PDF bank statements.
- Contributed to a customer micro-segmentation project using the HDBSCAN technique to target niche segments for personalized messaging.
Research Analyst
Schlumberger
- Provided consultants with operational and financial analysis for cost-cutting measures in oil and gas upstream and participated in consulting engagements with big clients.
- Benchmarked SBC performance in social media with peer and competitor firms and recommending action plans.
- Suggested and implemented process improvements that automated processes.
Senior Software Engineer
Wipro Technologies
- Created an eCommerce project for medical products category for US clients including Microsoft's piracy control team and Cardinal Health.
- Produced business intelligence reports for fraudulent usage of activation keys using a mix of threshold and policy-based rules as part of a DWH-BI project.
- Developed dashboards for monitoring databases for teams and automated generating resource billing status reports for senior management.
Experience
Detection of ID Card and Extract Details
Achieved an accuracy of 87%, including extracting correct details from the ID cards. The model is trained on a set of four types of ID cards with various resolutions and orientations.
Complaint Categorization Using Topic Modeling
Customer Segmentation with Density-based Techniques
Education
MBA in European Business
ESCP Business School - Paris, France
Post Graduate Diploma in Management (PGDM) in International Management
Management Development Institute (MDI) - Gurugram, India
Bachelor's Degree in Electrical and Electronics
Osmania University - Hyderabad, India
Certifications
Tableau: Hands-on Tableau Training for Data Science
Udemy
Spark for Machine Learning and AI
PyTorch Essential Training: Deep Learning
Agile Foundations
Project Management Institute (PMI)
Machine Learning by Andrew Ng
Coursera - Stanford Online
Skills
Libraries/APIs
Pandas, NumPy, Scikit-learn, XGBoost, OpenCV, PySpark, REST APIs, Spark ML, PyTorch
Tools
GitHub, Seaborn, Git, BigQuery, Tableau
Languages
Python 3, SQL, Python
Platforms
Jupyter Notebook, Amazon Web Services (AWS), Visual Studio Code (VS Code), Google Cloud Platform (GCP), Linux
Frameworks
Spark, Apache Spark
Paradigms
Business Intelligence (BI), ETL
Storage
MySQL
Other
Data Science, Data Analysis, Random Forests, Logistic Regression, Machine Learning, Artificial Intelligence (AI), Business Strategy, Data Warehouse Design, Natural Language Processing (NLP), Data Analytics, Statistical Modeling, Generative Pre-trained Transformers (GPT), Business Management, Agile Practices, Deep Learning
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