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SURESH KUMAR

Director - Data Science

  • Hyderabad, TG
  • 15 years
Notice Period: 60 Days

    Candidate's About

    Experienced professional with 4+ years in Strategic Data Science, Stakeholder Engagement, and People Management, coupled with 12+ years of industry expertise. Proficient in data science, machine learning, and deploying models. Adept at leading diverse teams and driving growth.

    Work & Experience

    D

    Director - Data Science

    Apr 22 - PRESENT

    Tools

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      Jira
    • Instituted and executed high-level data science strategies, made decisions, and overcame complex business challenges using experience-backed judgment, strong work ethics, and irreproachable integrity
    • Created and sustained a dynamic environment that fosters development opportunities and motivates high performance among the Data Science Team and led operational and deployed the use c...
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    L

    Lead Data Scientist

    Oct 17 - Dec 21

    Technology

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      SQL

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      Jira
    • Steered efforts in:
    • Developing solutions to generate business insights and high-impact data models to create significant business value
    • Model Evaluation and Dashboarding model performance metrics (AUC-ROC, F1 Score, precision, recall, Log Loss, RMSE)
    • Model Performance, Model Risk Management and Model Factor...
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    OMR Sheet Image Processing (Assessment Forms – Image Processing)

    Lead Data Scientist

    • Developed and implemented image processing algorithms and models to accurately extract data from OMR sheets.
    • Designed and implemented systems to improve the efficiency and accuracy of the data extraction process.
    • Collaborated with other members of the team to develop and implement new features and functionalities for the OMR sheet image processing system.
    • Provided technical guidance and mentorship to junior data scientists and engineers on the team.
    • Conducted research and stayed up-to-date with the latest advancements in image processing and computer vision technologies.
    • Collaborated with stakeholders to understand their data needs and requirements and to ensure that the OMR sheet image processing system met those needs.
    • Oversaw the testing and validation of the OMR sheet image processing system to ensure that it was accurate and reliable.
    • Participated in the deployment and maintenance of the OMR sheet image processing system, including troubleshooting and resolving any issues that arose.
    • Communicated project status and results to upper management and stakeholders.
    • Led the team and provided guidance in the development, implementation, and maintenance of the OMR sheet image processing system
    • R
    • Python
    • PySpark
    • Tableau
    • Power BI
    • Spark
    • Excel
    • Hive
    • GIT
    • Azure
    • YoloV3
    • OpenCV
    • TensorFlow (Keras)
    • AWS Sagemaker
    • Azure ML
    • Linear Regression
    • Autoencoders
    • RNN (Recurrent Neural Networks)
    • CNN (Convolutional Neural Networks)
    • ANN (Neural Networks)
    • Text Mining and Time Series Forecasting
    • Association Rule Mining (MBA)
    • PCA, Clustering Techniques
    • Decision Tree
    • Random Forest
    • Logistic Regression
    • Naive Bayes
    View Details

    Morbidity or Mortality Predictor

    Lead Data Scientist

    • Developed and implemented machine learning models to predict morbidity or mortality rates in US healthcare.
    • Collaborated with other team members to develop and implement facial recognition-based attendance machines and security systems.
    • Designed and implemented recommendation systems and response models for retail businesses.
    • Created and analyzed time series data to forecast key performance indicators.
    • Analyzed customer data to gain insights into customer behavior and preferences.
    • Developed and implemented fuzzy systems to detect and analyze toxic signals from hazardous environments.
    • Designed, developed, and implemented conversational AI projects like Chatbot, to automate customer service and support.
    • Provided technical guidance and mentorship to junior data scientists and engineers on the team.
    • Conducted research and stayed up-to-date with the latest advancements in machine learning, computer vision, and AI technologies.
    • Collaborated with stakeholders to understand their data needs and requirements and to ensure that the models and systems met those needs.
    • Oversaw the testing and validation of models and systems to ensure that they were accurate and reliable.
    • Participated in the deployment and maintenance of models and systems, including troubleshooting and resolving any issues that arose.
    • Communicated project status and results to upper management and stakeholders.
    • Led the team and provided guidance in the development, implementation, and maintenance of the models and systems.
    • R
    • Python
    • PySpark
    • Tableau
    • Power BI
    • Spark
    • Excel
    • Hive
    • Git
    • Azure
    • YoloV3
    • OpenCV
    • TensorFlow (Keras)
    View Details

    Banking (Credit Unions) and FMCG

    Lead Data Scientist

    • Developed and implemented machine learning models to predict customer acquisition and churn rates in the banking and FMCG industries.
    • Collaborated with other team members to develop and implement facial recognition-based attendance machines and security systems.
    • Designed and implemented recommendation systems and response models for retail businesses.
    • Created and analyzed time series data to forecast key performance indicators.
    • Analyzed customer data to gain insights into customer behavior and preferences.
    • Developed and implemented fuzzy systems to detect and analyze toxic signals from hazardous environments.
    • Designed, developed, and implemented conversational AI projects like Chatbot, to automate customer service and support.
    • Provided technical guidance and mentorship to junior data scientists and engineers on the team.
    • Conducted research and stayed up-to-date with the latest advancements in machine learning, computer vision, and AI technologies.
    • Collaborated with stakeholders to understand their data needs and requirements and to ensure that the models and systems met those needs.
    • Oversaw the testing and validation of models and systems to ensure that they were accurate and reliable.
    • Participated in the deployment and maintenance of models and systems, including troubleshooting and resolving any issues that arose.
    • Communicated project status and results to upper management and stakeholders.
    • Led the team and provided guidance in the development, implementation, and maintenance of the models and systems.
    • R
    • Python
    • PySpark
    • Tableau
    • Power BI
    • Spark
    • Excel
    • Hive
    • Git
    • Azure
    • YoloV3
    • OpenCV
    • TensorFlow (Keras)
    View Details

    User Behavior Analytics (Emotional and Drowsiness)

    Lead Data Scientist

    • Developed and implemented machine learning models to analyze user behavior, including emotional and drowsiness levels.
    • Conducted research and analyzed data to gain insights into user behavior and emotions.
    • Collaborated with other team members to develop and implement systems for monitoring and analyzing user behavior.
    • Designed and implemented algorithms to detect drowsiness levels in users.
    • Provided technical guidance and mentorship to junior data scientists and engineers on the team.
    • Stayed up-to-date with the latest advancements in machine learning, computer vision and AI technologies.
    • Collaborated with stakeholders to understand their data needs and requirements and to ensure that the models and systems met those needs.
    • Oversaw the testing and validation of models and systems to ensure that they were accurate and reliable.
    • Participated in the deployment and maintenance of models and systems, including troubleshooting and resolving any issues that arose.
    • Communicated project status and results to upper management and stakeholders.
    • Led the team and provided guidance in the development, implementation, and maintenance of the models and systems.
    • R
    • Python
    • PySpark
    • Tableau
    • Power BI
    • Spark
    • Excel
    • Hive
    • Git
    • Azure
    • YoloV3
    • OpenCV
    • TensorFlow (Keras)
    View Details
    T

    Team Lead

    Apr 15 - Feb 17

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      SQL

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      Jira
    • Monitored the migration of Legacy Systems to a Master Data Source (MSD) and Enterprise Data Warehouse (EDW)
    • Engaged in examining and exploring data from multiple disparate sources with the goal of discovering insights
    • Worked on recommending and implementing best practices around the application of statistical modeling, Data Mining, Predictive Analytics Techniques, Machine L...
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    S

    Senior Software Engineer/Onsite Test Lead/Professional1 - Product test

    Mar 09 - Mar 15

    Technology

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      SQL

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      Jira
    • Participating in the full software development life cycle, including requirements gathering, design, development, testing, and maintenance
    • Leading the design and development of software solutions to meet customer requirements
    • Providing technical leadership and mentoring to junior team members
    • Collaborating with cross-functional teams to ensure the delivery of high-q...
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    C

    Consultant

    Apr 08 - Mar 09

    Technology

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      SQL

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      Jira
    • Designing, developing and maintaining software applications
    • Participating in the full software development life cycle, including requirements gathering, design, development, testing, and maintenance
    • Collaborating with cross-functional teams to ensure the delivery of high-quality software products
    • Continuously improving software development processes and practices Read More
    S

    Software Engineer

    Feb 08 - Mar 09

    Technology

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      SQL

    Tools

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      Jira
    • Designing and developing software solutions to meet customer requirements
    • Participating in the full software development life cycle, including requirements gathering, design, development, testing, and maintenance
    • Collaborating with cross-functional teams to ensure the delivery of high-quality software products
    • Continuously improving software development processes an...
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    Education

    J

    PGDCA

    JMMYC
    2003 - 2003
    O

    B.Sc.

    Osmania University
    1998 - 2002

    Certificates

    E

    Certified Data Scientist

    Edureka
    I

    IOT Expert Course

    G

    Certified Business Intelligence and Business Analytics (PGPBA-BI)

    Great Lakes

    Achievements

    • Achieved Certification of Excellence from Farmer Insurance.
    • Achieved recognition as the Best Team of the Month and Champion of the Month twice within the Siebel Analytics team at Birlasoft.
    • Achieved a successful completion of a CAPSTONE PROJECT in Text Mining (NLP) for Social and Web Media, with a focus on Sentiment Analysis.
    • Successfully implemented HR Analytics by predicting employee attrition in a company using historic data.
    • Successfully launched a loyalty program and provided recommendations for improving store efficiency for a café chain of restaurant using their point-of-sale data through retail analytics.
    • Achieved success in Financial Risk Analytics using various supervised techniques.
    • Successfully applied RFM (Recency, Frequency and Monetary) analysis to improve sales and marketing strategies.
    • Successfully conducted analysis of customer behavior through Customer Analytics.
    • Successfully managed a project using CRISP-ML(Q) and CRISP-DM methodologies for project management.