FinTech | FinOps | MLOps | ML Engineer

Welcome to my portfolio! I am a FinTech/MLOps professional with nearly 6 years of experience at the intersection of finance, business analytics, and applied machine learning. I specialize in building scalable ML pipelines, deploying advanced deep learning and generative AI solutions, and leveraging financial data for forecasting, risk modeling, and decision optimization. With dual Master’s in Business Analytics and Finance, I bring a unique ability to bridge quantitative finance expertise with cutting-edge ML engineering, enabling data-driven strategies that deliver measurable business impact. Committed to innovation, efficiency, and impactful contributions across the AI and financial domains.

Work Experience

Business Data Analyst Intern (06/2025 – Present)

• Company: Synchrony, Remote, Connecticut, United States
  • Perform analysis in Tableau and Power BI to surface actionable insights from large datasets.
  • Build data connections to Oracle Data Warehouse and integrate multiple sources for reliable reporting.
  • Design and optimize dashboards and KPI reports that support executive decision-making.
  • Run predictive analytics to identify trends and forecast outcomes for planning.
  • Develop data pipelines and DataOps processes for quality, availability, and governance.

Lucy Katz Fellow – Student Diversity and Multicultural Affairs (09/2025 – Present)

• Institution: Fairfield University, Fairfield, Connecticut, United States
  • Selected as a Lucy Katz Fellow to strengthen diversity, equity, inclusion, and belonging initiatives on campus.
  • Facilitate dialogue sessions, civic reflections, and story circles to build authentic connections across diverse student groups.
  • Engage in care and restorative practices that promote mutual understanding and community well-being.
  • Collaborate with student organizations and faculty mentors to design multicultural programming and events.
  • Develop leadership skills through community-based learning and bridge-building activities aimed at fostering inclusive excellence.

ITS Helpdesk Assistant - Student Employee (06/2025 – Present)

• Institution: Fairfield University, Fairfield, Connecticut, United States
  • Debug applications and resolve incidents across university systems.
  • Provide technical support to students, faculty, and staff using a ticketing system for prioritization.
  • Coordinate with cross-functional teams to escalate and resolve complex issues.
  • Offer on-call and in-person support to maintain operational continuity.

Research Assistant, School of Engineering (02/2025 – Present)

• Advisor: Dr. Danushka S. Bandara, Fairfield University
  • Project: Using Graph Convolutional Networks (GCNs) to Predict Student Performance and Enable Personalized Education.
  • Analyze the EdNet dataset of 131 million student interactions from an AI tutoring platform.
  • Model relationships among students, content, and engagement behaviors to drive personalized learning.

Senior ML/MLOps Consultant (10/2024 - 01/2025)

• Company: Accenture Baltics, Remote
  • Designed and developed RAG applications, vector search, and causational analysis workflows using GPT models.
  • Built DevOps pipelines with best practices for reliable CI/CD across client and internal projects.

Senior ML/MLOps Engineer (06/2024 - 10/2024)

• Company: EPAM Systems Inc., Hyderabad, India
  • Led design of cloud-agnostic ML pipelines and deployment of DL and LLM models.
  • Built end-to-end pipeline for Vision OCR with AR overlays using Dialogflow NLP, Cloud Functions, BigQuery, Vertex AI, and ARCore.
  • Achieved interactive troubleshooting with approximately 60 percent time savings and about 100 hours monthly manual effort reduction.

Senior ML/MLOps Consultant (10/2023 - 05/2024)

• Company: Firstsource, Hyderabad, India
  • Led design and deployment of ML systems across multi-cloud.
  • Built robust ML pipelines leveraging PySpark, BigQuery, and Snowflake for production insights.

Senior MLOps Engineer (12/2021 - 10/2023)

• Company: Kroll, Hyderabad, India
  • Implemented end-to-end MLOps pipelines and reduced time to deliver by approximately 40 percent.
  • Optimized training pipelines with about 50 percent speedups and introduced automated monitoring and alerting.

DevOps Engineer (05/2021 - 11/2021)

• Company: OSI Digital, Hyderabad, India
  • Built Azure ML backed infrastructure, real-time monitoring, and automated deployments with fewer errors.

System Administrator (09/2019 - 04/2021)

• Company: PCS Global, Kolkata, India
  • Reduced system downtime by about 40 percent and improved incident response with centralized logging and automation.

Skills

• Machine Learning: MLflow, Kubeflow, TensorFlow, PyTorch, PySpark, H2O, Azure ML, AutoML, AWS SageMaker, OpenCV, Keras
• Data Engineering: DataOps, ETL, Dagster, Airflow, Spark, Hadoop, Databricks, Data Factory, Synapse, Cosmos DB, Alteryx
• DevOps: Kubernetes, Docker, Ansible, Terraform, Jenkins, CI/CD, Azure DevOps, AWS CodePipeline, Bash, PowerShell, GitOps, GCP Cloud Build
• Databases: SQL, MS-SQL, MySQL, PostgreSQL, Cassandra, MongoDB, BigQuery, Snowflake
• Programming: Python, C++, R, Java, HTML, CSS, JavaScript, YAML, JSON
• Models and Algorithms: KNN, CNN, ANN, RNN, Linear and Logistic Regression, Decision Trees, KMeans, DBSCAN, Random Forests, Naive Bayes, Gradient Boosting, SVM, NLP, LangChain, LLaMA, Mistral
• Deep Learning Frameworks: TensorFlow, Keras, PyTorch, OpenCV
• Analytics and Visualization: NumPy, Pandas, SciPy, Matplotlib, Seaborn, Plotly, Tableau, Power BI
• Cloud: AWS, Azure, GCP, IBM Cloud, Digital Ocean, Linode, Oracle Cloud, Heroku
• Version Control: GitHub, GitLab, SVN
• Operating Systems: Ubuntu, Windows Server 2019, RedHat, Fedora, openSUSE, Debian, CentOS

Education

• Dual MS: MS in Business Analytics and MS in Finance (2025 - 2027)
  Fairfield University, Connecticut, USA

• Post Graduate Degree: Business and Data Analytics (2025)
  Indian Institute of Management, Udaipur, India

• M.Tech: Mechanical Engineering (2019)
  Biju Patnaik University of Technology, Odisha, India

• B.Tech: Mechanical Engineering (2016)
  Centurion University of Technology and Management, Odisha, India

Certifications

• LFCS: Linux Foundation Certified Systems Administrator
• Cybersecurity Awareness: AI
• Cybersecurity Awareness: Cybersecurity Terminology
• Cybersecurity at Work
• Business Data Management Professional (BDMP)
• Business and Data Analytics
• English Proficiency Certificate
• Certified Kubernetes Security Specialist (CKS)
• Certified Kubernetes Application Developer (CKAD)
• CKA Certification Course - Certified Kubernetes Administrator
• Certified Kubernetes Administrator (CKA)
• GRE General Test
• TestDome: Python
• Microsoft Certified: Azure Fundamentals
• Test of English as a Foreign Language
• Applied Data Science II: Machine Learning and Statistical Analysis (with honors)
• Certificate to Teach English as a Foreign Language (CTEFL)
• Applied Data Science I: Scientific Computing and Python (with honors)
• Data Science Professional Certificate
• DevOps Beginners Course
• Introduction to Service Management with ITIL 4
• Google IT Support Professional Certificate
• Ansible For Beginners
• Containerization with Docker
• IBM Data Science Professional Course: Tools For Data Science
• IBM Data Science Professional Course: What is Data Science
• Kubernetes for Absolute Beginners
• Linux Bash Scripting
• Linux System Administrator Basics
• Version Control with Git

Projects

Fintech Projects

1. AI Agentic Portfolio Manager

• Tools & Frameworks: Python, Streamlit Cloud, OpenAI API, Agentic Frameworks, PostgreSQL
• Description: Multi-asset portfolio exploration with agent workflows and analytics. Focus on allocation, performance attribution, and agentic automation for investment decisions.

2. DOGE Real-time Analysis

• Tools & Frameworks: Python, Streamlit Cloud, OpenAI API, SQLite, Plotly
• Description: Real-time DOGE market analysis with live data integration, technical indicators, and rapid insights for trading research.

3. LEGO Theme Analyzer

• Tools & Frameworks: Python, Streamlit Cloud, OpenAI API, Postgres, NLP-based Agentic Frameworks
• Description: Interactive analysis of LEGO product themes and sets for trend discovery, storytelling, and consumer behavior insights usable in market analytics.

4. Real-time Soccer Analytics

• Tools & Frameworks: Python, Streamlit Cloud, Anthropic API, Agentic AI Agents, SQLite
• Description: Live match metrics, team and player comparisons, and dynamic visualizations to support data-driven sports analytics workflows.

5. Risk Analytics App

• Tools & Frameworks: Python, Streamlit Cloud, OpenAI API, Agentic Frameworks, PostgreSQL
• Description: Portfolio risk visualization, scenario analysis, and stress testing utilities for decision support and risk management research.

Note: These Fintech apps are subject capstone projects and received shoutouts for agentic automation in fintech.

Machine Learning Projects

1. Image Classification with Convolutional Neural Networks (CNN)

• Tools: TensorFlow, Keras
• Implemented a CNN for CIFAR-10 with augmentation, regularization, and tuned hyperparameters for strong accuracy.

2. Natural Language Processing (NLP) - Sentiment Analysis

• Tools: PyTorch, NLTK
• Built sentiment models with preprocessing, class balancing, and deep learning for accurate polarity detection.

3. Recommender System using Collaborative Filtering

• Tools: Surprise, scikit-learn
• Matrix factorization with sparse user-item data and caching for responsive recommendations.

4. Generative Adversarial Network (GAN) for Image Synthesis

• Tools: TensorFlow, Keras
• Stabilized training with spectral normalization and tuned diversity for realistic face generation.

5. Time Series Forecasting with LSTM

• Tools: PyTorch, TensorFlow
• LSTM architecture with feature engineering for trend and seasonality, yielding accurate forecasts.

6. Consumer Finances in USA

• Pipelines for diverse financial data and oversampling for balanced training to predict spending patterns.

7. DS Admissions in WQU

• Interpretable models and synthetic augmentation for admissions prediction and criteria insights.

8. Volatility Forecasting in India

• Advanced time series models with adaptive behavior to shifting market regimes for better decision support.

9. Housing Price in Mexico

• Real-estate price modeling with extensive data cleaning and ensemble methods.

10. Housing Price in Buenos Aires

• Feature-rich models and interpretable visualizations for market understanding.

11. Air Quality in Nairobi

• Imputation for sensor gaps and streaming predictions to support real-time monitoring.

12. Earthquake Damage in Nepal

• Transfer learning and geologic features for damage assessment and preparedness.

13. Bankruptcy in Poland

• Imbalance-aware classification with retraining strategies to track economic change.

Conclusion

These projects span production ML, agentic fintech apps, and applied analytics. For source code and more details, visit the GitHub Repository.

Let’s Connect

• GitHub
• LinkedIn
• Email: [email protected]