Data Analyst (AI/ML)

About Us

Mallow is a custom software development company based in Karur, Tamilnadu. We have experienced professionals across a variety of trend-setting domains of software development. We have also developed many web and mobile applications. Our teams include RoR, PHP, React. JS, Front-End, Android, iOS, Python, Data Analyst (AI/ML), QA and Business Analysts. Our client base is huge and so our professionals work to meet all the varied needs with one aspect, Quality.

About Role

We are looking for a passionate Data Analyst (Mid-Senior level) with machine learning knowledge who can transform large structured and unstructured data sets into valuable insights, reports and make predictions for business decisions. The roles & responsibilities includes:

  • Develop data management policies and processes
  • Set up and maintain automated data processes
  • Identity and setup tools/services for Data validations and cleansing
  • Produce and track key performing indicators
  • Develop and support reporting processes
  • Monitor and audit data quality
  • Manipulate, analyse and interpret complex data sets relating to the business
  • Prepare reports for internal and external audiences using business analytics reporting tools
  • Create data dashboards, graphs and visualisations
  • Mine and analyse large datasets, draw valid inferences and present them successfully to management using a reporting tool
  • Selecting appropriate data sets for the ML model
  • Develop AI and machine learning applications according to requirements
  • Developing ML algorithms to analyse huge volumes of historical data to make predictions
  • Run machine learning tests and experiments
  • Deploying ML models to production
  • Keeping abreast of developments in machine learning
  • Collaborating with developers, engineers, and organisational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance
  • Paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts

Must have

  • 3 to 5 years of relevant experience
  • Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop
  • Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning
  • Good knowledge of ML tools like TensorFlow, Colab, SciKit Learn, PyTorch, Jupyter Notebook, etc
  • Good numerical, analytical and statistical skills
  • Good knowledge of SQL
  • Experience in Python (preferred) / R languages
  • Experience in data analysis tools like Tableau, Microsoft Power BI or any relevant tools
  • Good communication skills
  • Experience in statistical methodologies and data analysis techniques
  • Ability to produce intuitive graphical representations and data visualisations

Good to have

  • Data Analytics certification
  • Machine learning certification
  • Your machine learning portfolio
  • Tableau Server Certified Professional or any relevant tools certification