Ritwika ..

Software Engineer

Bengaluru, Karnataka, India2 yrs 7 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Designed predictive models for financial risk management.
  • Developed automated data pipelines for enhanced reliability.
  • Passionate about AI and scalable software engineering.
Stackforce AI infers this person is a Fintech Data Scientist with strong AI and machine learning capabilities.

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Skills

Core Skills

Data EngineeringMachine LearningArtificial Intelligence (ai)

Other Skills

Agile & Waterfall MethodologiesAgile Application DevelopmentAgile MethodologiesAlgorithmsAmazon Web Services (AWS)Android DevelopmentApache SparkApplication Programming Interfaces (API)Attention modelsAutocorrectAzure Data LakeAzure DatabricksCanvaCloud ComputingCloud Security

About

I’m a Data Scientist / AI Engineer with 1+ year of experience designing and optimizing data-driven systems at scale. At Accenture, I work on high-volume financial data pipelines built on Azure Databricks, PySpark, and SQL, transforming complex datasets into insights that drive smarter decision-making. My work bridges the gap between data engineering and machine learning — automating data workflows, developing predictive models, and enabling analytical systems that support real-time financial risk management and liquidity forecasting. Beyond my professional experience, I’ve built several end-to-end ML projects, including real-time object detection, momentum-based trading strategies, and deep learning models for computer vision and NLP. These projects reflect my passion for combining data, AI, and scalable software engineering to solve real-world problems. I’m currently focused on advancing my expertise in machine learning systems, generative AI, and applied data science — with a goal to build intelligent, production-ready solutions at the intersection of AI and financial technology. 💡 Core Skills: Python, SQL, PySpark, TensorFlow, Machine Learning, Deep Learning, Data Analysis, Azure, GCP, Databricks, Distributed Systems

Experience

2 yrs 7 mos
Total Experience
1 yr 3 mos
Average Tenure
1 yr 10 mos
Current Experience

Accenture

Associate Software Engineer

Aug 2024Present · 1 yr 10 mos · Bengaluru, Karnataka, India · On-site

  • Core project in the financial domain focused on predictive analytics and intelligent data systems for liquidity risk management.
  • Key Contributions:
  • Designed and deployed data-driven models using Python, PySpark, and SQL on Azure Databricks to analyze and forecast liquidity and market risk patterns.
  • Developed automated data pipelines and feature engineering workflows that improved model reliability and reduced manual intervention in reporting systems.
  • Collaborated with cross-functional teams to translate financial risk data into actionable machine learning insights supporting regulatory stress testing and liquidity forecasting.
  • Experimented with supervised learning models and time-series techniques to predict short-term liquidity shortfalls and optimize risk exposure strategies.
  • Partnered with data engineers and business analysts to ensure end-to-end data integrity, scalability, and alignment with real-time decision systems.
PythonPySparkSQLAzure DatabricksData EngineeringMachine Learning+1

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Education

Noida Institute of Engineering & Technology

Bachelor of Technology - BTech — Computer Science and engineering ( Artificial intelligence and Machine learning)

Jan 2020Jan 2024

Crescent Convent Sschool

Jan 2017Jan 2019

St. Karen's secondary school

Apr 2012Mar 2017

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