Pooja A.

Data Scientist

Millers Point, New South Wales, Australia9 yrs 3 mos experience

Highly Stable

Key Highlights

8+ years of experience in data analytics.
Expert in machine learning and predictive modeling.
Proven track record in optimizing business processes.

Stackforce AI infers this person is a data-driven professional specializing in machine learning and analytics within the SaaS and Transportation sectors.

Contact

Skills

Core Skills

Machine LearningData AnalysisPredictive ModelingAnomaly DetectionBusiness Analysis

Other Skills

Business DevelopmentBusiness Intelligence (BI)Business Systems AnalysisClusteringCoordinationData ModelingData VisualizationDeep LearningEntrepreneurshipHouse Prices Prediction by KaggleLean StartupLogistic RegressionMarketingMarketing MetricsMicrosoft SQL Server

About

A highly motivated and result driven professional with a proven record of achievement, utilizing excellent business skills with a strong desire to learn, contribute and make a positive difference to the organization. • 8+ years of experience in solving business problems using advance data and business-analytics skills. • Process-oriented analyst with working knowledge of Enterprise Applications and Databases, advance statistical techniques, computing languages and business reporting tools. • Good communication, problem-solving skills and sharp analytical mind-set.

Experience

Jennsen group

Data Scientist

Aug 2018 – Jan 2021 · 2 yrs 5 mos · Sydney, New South Wales, Australia

Optimization and Recommender: Pricing, Promotions, Personalised offers, etc.
Predictive Modelling: Demand forecasting, Customer acquisition and churn, Survival modeling, etc.
Segmentation and Clustering: Customer segmentation, store and product clustering, etc.
Deep Learning: Computer vision
ML Framework: Model build pipeline, Model deployment framework, Model tracking package, etc.
Advanced Analytics: Uplift modeling, Trial measurement, What-if analysis, etc.
Customer-centric modelling: recommender engine, acquisition and churn, segmentation, clustering
Forecast: ML and statistical modelling. Framework: ML build and deployment framework, auto-feature build framework, statistics modelling, stochastic optimisation, statistical simulation, recommender engines, end-to-end ML framework,

PythonMachine LearningPredictive ModelingData AnalysisDeep Learning

Ola (ani technologies pvt. ltd)

Senior Research Engineer

Jan 2015 – Nov 2016 · 1 yr 10 mos · Bengaluru, Karnataka, India

To ensure customer safety at Ola, developed an algorithm to generate ride safety scores in real-time(in production). Generated booking hotspots and spatial clusters using agglomerative clustering. Utilized linear models & anomaly detection techniques to generate safety index for all possible routes between clusters using gps signals, historical rides, traffic density, complaints and reported crime data.
Developed a logistic regression model to generate driver scores based on their driving behavior(harsh acceleration, brakes, speeding etc.), customer complaints, past accidents and vehicle maintenance records - convinced operations team to use it for driver training.
Technical skills: PySpark, Python, Hive, Qubole, Kibana, Microstrategy, Git, AWS, Scikit-learn, Matplotlib, Dlib, OpenCV, Leaflet

PythonMachine LearningData AnalysisLogistic RegressionClustering

Runnr

Data Analyst

Jun 2011 – Jul 2014 · 3 yrs 1 mo · Bengaluru, Karnataka, India

Detected fraud patterns using anomaly detection and identified the areas of potential fraud
Analysed search engine statistics leading to the introduction of a new feature on the home screen which improved click-through rate by 4%.
Built rating algorithm for drivers based on their interaction with the system & customer feedbacks- taken into account for their payout.
Technical skills: Python, Pandas, Numpy, Sql, R, Dplyr, ggplot, Periscope, Confluence, MS Office

PythonData AnalysisAnomaly DetectionSQL

Exponential

Business Analyst

Jul 2009 – Jul 2011 · 2 yrs · Delhi, India

Managed the display marketing campaigns for the major clients of Australia/New Zealand and UK.
Performed the calculation and analysis of inventory avails depending upon various factors (geographic, channel and behavioral targeting) and other performance metrics (like CTR and CPA) and at the same time maintaining optimum margins for the company.

Data AnalysisBusiness AnalysisMarketing Metrics