Chithira Raj

Chithira Raj

Systems Engineer | Python | SQL

Followers of Chithira Raj720 followers
location of Chithira RajToronto, Ontario, Canada

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  • Timeline

  • About me

    Data Scientist | Machine Learning | Ex-VMware | Ex-Accenture | Pursuing Master's in Data Science at Deakin | Banking | Finance | Predictive Maintenance | HR Analytics | Supply Chain |

  • Education

    • Deakin University

      2024 -
      Master's degree Data Science

      Part-Time / Online Course designed for working professionals.

    • APJ Abdul Kalam Technological University

      2015 - 2019
      Bachelor of Technology - BTech Computer Science
  • Experience

    • Infosys

      Oct 2019 - Feb 2020
      Systems Engineer | Python | SQL

      • Proposed a facial expression training platform for autism with an accuracy rate of 80%, learning and applying Convolutional Neural Network (CNN) and Haar Cascade Classifier techniques.• Acquired proficiency in Data Structures, Java, Python, and SQL through dedicated training.

    • Accenture

      Mar 2020 - May 2022

      • Implemented a Gradient Boost regression model using Azure ML to enhance invoice processing of Microsoft’s financial transactions, achieving an accuracy of 85%, expediting invoice approvals and payments.• Created Power BI dashboards to communicate invoice processing model insights with the stakeholders.• Designed a real-time predictive analytical tool and dashboard using HWES time series forecast model with a 90% accuracy in predicting future productivity.• Collaborated with stakeholders to understand business requirements, evaluated model performance, ran statistical tests, optimized parameters, and informed strategic decisions, boosting business performance. Show less

      • Data Scientist | Data Analyst | Business Intelligence Analyst | Machine Learning

        Dec 2021 - May 2022
      • Junior Data Scientist | Junior Data Analyst | Business Analyst | Data Science | Data Analytics

        Mar 2020 - Dec 2021
    • Broadcom Software

      May 2022 - Jan 2024
      Data Scientist | Data Analyst | Data Engineer | Predictive Analytics

      • Led the development of unsupervised hierarchical clustering model with 80% score to detect ESXi host failures by log analysis.• Optimized log analysis processes by implementing scalable data pipelines using PySpark for data extraction, leading to improved model performance. • Developed anomaly detection models using K-Means and Isolation Forest, to identify abnormal log patterns with 70% performance.•Implemented a VPT based nearest neighbor search algorithm to enhance host failure prediction accuracy by 80%.•Evaluated model performance, initiated statistical testing, and optimized model parameters to align with business objectives and regulatory requirements.• Prepared executive level Tableau / Power BI dashboards and reports to communicate data insights, model performance and future strategies. Show less

    • Freelance

      Feb 2024 - Jun 2024
      Data Analyst | Data Scientist

      • Created a web scraping script with BeautifulSoup to extract information for summarizing articles using an LLM model. Fine-tuned the LLM Flan-T5 model for article summarization.• Applied ARIMA, Prophet and HWES for analyzing time series data to predict future sales trends.

    • Capital One

      Jul 2024 - Sept 2024
      Data Analyst | Data Scientist

      • Extended the Robocop Python tool by integrating controls that calculate customer rewards and check for exceptions, utilizing standardized SQL script execution and enhanced data quality checks.• Implemented validation processes to ensure accuracy in control scripts and developed reporting features for comprehensive data monitoring.• Standardized control execution for customer data monitoring by automating processes with scheduled jobs and alert systems for timely notifications to stakeholders. Show less

    • Atyeti Inc

      Oct 2024 - now
      Data Scientist

      Client: Citibank• Enhanced a machine learning model utilizing FastText to automate data lineage tracing, refining the mapping accuracy of destination fields to their source fields across relational database tables.• Employed reinforcement learning with Q-learning to reward correct source and destination data sources and penalize incorrect ones, leading to a 90% improvement in data lineage accuracy.• Analyzed debt data break details to assess the accuracy of the data lineage mappings, identifying inconsistencies and improving data traceability across systems. Show less

  • Licenses & Certifications

  • Honors & Awards

    • Awarded to Chithira Raj
      Accenture Core Value Champion Accenture