Nitesh Tarbani

Results-driven Data Scientist Specialized in Regression machine learning, Deep Learning and Anomaly
detection using Time Series modeling across diverse industries. Proficient in end-to-end project
management, including data collection, SQL, DBT models, Airflow. Proactive problem-solver passionate about driving strategic decisions through data-driven insights.

• Developed anomaly detection system, Demand Forecasting, Revenue Forecasting
  for time series data using SARIMAX, ARIMA, Prophet forecasting models.
• Applied various machine learning regression models and techniques such as
  scaling, PCA to find relationships between various metrics such as GMV, Orders,
  AOV, Traffic, Conversion Rate, Clicks, Impression, Click-Through Rate etc.
• Independently managed all facets of the project, including data collection, SQL
  query composition, DBT model creation, Python scripting in Airflow, deployment,
  and maintenance for all the above models created.
• Mentored junior team members in best practices for data science methodologies,
  fostering a culture of continuous improvement.

I have completed my PhD in Feb 2018 in the field of Computer Science & Engineering. My thesis topic was Prediction of next Mobile Access Gateway in Proxy Mobile IPv6 to Reduce Handover Delay.