A Data EXPERT

Drawing on a merge the technical and mathematical knowledge with a strong commercial acumen that results in creating innovative cutting-edge data solutions

Stellar leadership experience in helping the organizations win in a digital environment through leveraging the data asset to create a strong commercial impact. Drawing on a merge the technical and mathematical knowledge with a strong commercial acumen that results in creating innovative cutting-edge data solutions. Elite level ability to use AI and big data solutions to unlock the business value that is well aligned with the company strategy.

Key Competencies

  • Adept at employing logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
  • Solid understanding of the implications of novel information for both current and future problem-solving and decision-making.
  • Superlative ability to analyse complex problems and review related information to develop and evaluate options.
  • Highly adroit in financial management and budget administration for the maximization of resources and budgets
  • Enterprising motivator/ team player with first-class planning, organisational, and negotiation skills
  • Proven ability to lead, reach consensus, establish goals, and attain results.
  • Outstanding ability to set and measure goals of the direct reports in one-to-one meetings.
  • Demonstrable experience in aligning and prioritizing technical programmes of projects consistent with strategic business objectives.
  • Remarkable technical team management capability, drawing on the agile approach to project management
  • Exceptional ability to support seamless integration and automation of development and operations data science, analytic solutions and products

Team Leadership, Stakeholder Management, Six Sigma, Lean Management, Agile PM, People development, Portfolio Management

Tooling and Technical Expertise

  • Data Technology: AWS, Azure and GCP
  • Big Data & Database Systems: RDMS, Spark, Hadoop, SQL, NoSQL, HQL, Data architecture, modelling and optimisation
  • Data Science: Statistics, Machine Learning, Natural Language Processing, Recommender Systems, Deep Learning, XGBoost, Recurrent Neural Network, Artificial Neural Network, GIT, Latent (Hidden) Markov Models, Classification, Reinforcement Learning, Clustering, Regression, Stimulation, Optimisation, Convolutional Neural Network, Seq2Seq Modelling, Topic modelling (LDA)
  • Tech Tools: Spark ML, Keras, Tensorflow, IBM SPSS Statistics, MPlus, Microsoft Excel, Apache Storm, Hive, Ambari, Kafka, Microsoft Azure Suite, Tableau, Power BI, Pega, Unica, CI/CD
  • Programming Languages: Python, Scala, SQL, R, Mplus
  • Libraries: Pandas, Statsmodels, NumPy, SciPy, PyTouch, Scikit-Learn, Matplotlib, Spark MLlib, Plotly, Folium, Tensorflow, Keras