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Raja Sekar Senior Data ScientistRS

Raja Sekar

Senior Data Scientist
  • Suggested rate
    €224 / day
  • Experience8-15 years
  • Response rate100%
  • Response time1 hour
The project will begin once you accept Raja's quote.
Location and workplace preferences
Location
Abu Dhabi Island and Internal Islands City, United Arab Emirates
Can work on-site at your office in
  • and around Abu Dhabi Island and Internal Islands City (up to 50km)
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Skill set
Raja in a few words
I’m an AI & Automation leader with over 15 years of experience in data science and analytics. I've worked across retail, transportation, and tech sectors, delivering data-driven solutions that optimize processes and improve decision-making. My expertise spans machine learning, AI automation, predictive modeling, and cloud solutions, with hands-on experience in tools like Azure, AWS, GCP, and Tableau. I've led teams, deployed models, and driven AI adoption in various industries, from retail to transportation. Currently, I'm looking for roles like Lead Data Analyst, Head of Data Analytics, or Manager of Data Science/Analytics to continue making an impact with data-driven solution.
Experience
  • TransCore
    Senior Analytics Consultant
    June 2018 - Today (6 years and 11 months)
    Dubai - United Arab Emirates
    Key Result Areas:
    • Leading a team of data scientists and analysts to optimize tolling systems using machine learning and predictive modeling.
    • Collaborating with cross-functional teams to optimize data processing workflow, ensuring timely and accurate reporting while reducing operational delays by 25%.
    • Conducting in-depth analyses of traffic patterns and tolling system usage, utilizing ARIMA models to forecast seasonal trends and inform strategic planning.
    • Driving AI adoption, leveraging cloud-based analytics (Azure, AWS) and big data technologies (PySpark, Databricks) for scalability.
    • Collaborating with cross-functional teams, including IT and operations, to integrate ML models into production environments.
    • Supervising the integration of advanced analytics tools and technologies, ensuring that the organization remains at the forefront of industry advancements.
    • Mentoring junior analysts and fostering a culture of continuous learning and improvement within the analytics team. Highlights:
    • Enhanced toll collection efficiency by 15% through the implementation of machine learning-powered RFID systems, boosting vehicle detection accuracy by 10%.
    • Developed ARIMA models to forecast seasonal traffic trends, reducing operational costs and optimizing toll system usage.
    • Collaborated with cross-functional teams to streamline data workflow, achieving a 25% improvement in reporting efficiency and reduced delays.
  • Extra Stores (United Electronics Company JSC)
    Senior Data Scientist
    August 2018 - October 2023 (5 years and 2 months)
    Dammam Saudi Arabia
    Key Result Areas:
    • Built and scaled a data science team from scratch, growing it to 6+ members over 5 years and driving key AI initiatives.
    • Developed and deployed a recommendation engine, increasing cross-selling revenue by 27% through AI-driven personalization.
    • Conducted Market Basket Analysis, driving a 27% increase in cross-selling opportunities.
    • Implemented unsupervised learning models (clustering, PCA) for micro-segmentation, improving campaign effectiveness by 20%.
    • Optimized cloud-based data pipelines within Google Cloud, improving processing efficiency by 30% and ensuring high data quality.
    • Automated BI reporting and dashboard generation, saving 3 hours of manual work daily and enhancing operational performance.
    • Developed end-to-end ML solutions, from data collection to model deployment, streamlining the analytics lifecycle.
    • Designed and deployed sentiment analysis models using Python and Azure, leading to a 10% increase in customer satisfaction.
    • Optimized customer retention campaigns with ML-based propensity scoring, reducing churn by 12%
    • Presented actionable insights to stakeholders, aligning analytics with strategic business objectives and driving decision-making.
    • Integrated data science models into campaign execution tools, automating targeted offers via SMS, app notifications, and email.
  • Hewlett Packard Enterprise
    Data Scientist
    March 2011 - August 2018 (7 years and 5 months)
    Chennai, Tamil Nadu, India
    Key Result Areas:
    • Managed a team of 3 data analysts and supervised a 3.7M AED budget, reporting to the Senior Manager of Customer Operations.
    • Designed and deployed predictive models (logistic regression, XGBoost, neural networks) to enhance customer targeting strategies
    • Enhanced predictive model accuracy by 15%, contributing to a 7% increase in new business development and a 12% improvement in reporting accuracy.
    • Led business and quantitative analysis to identify market opportunities, driving a 7% growth in new business.
    • Led AI-driven customer analytics, improving personalization and increasing revenue by 7% through dynamic pricing strategies.
    • Collaborated with the internal stakeholders to translate business needs into actionable data-driven solutions, contributing to the company's flagship product, the Global Monitoring Report.
    PREVIOUS EXPERIENCE
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Education
  • Master of Science
    Anna University
    Master of Science (M.Sc.) in Machine Learning,