Data Scientist
Location : Jaipur
Experience : 5 Year
Rate: $27 / Hourly
Availability : Immediate
Work From : Offsite
Category : Information Technology & Services
WORK EXPERIENCE
Machine Learning Engineer
Marktine Technology Solutions Pvt. Ltd. Bangalore, IN
05/22 - ongoing
∑ Build predictive models and machine-learning algorithms and Analyze large amounts of data to discover trends and patterns.
∑ Work with stakeholders to determine how to use business data for valuable business solutions
∑ Coordinate with various technical/functional teams to implement models and monitor results
∑ Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy
Associate consultant
ITC Infotech ltd. Bangalore, IN
12/18–02/22
∑ Develop vehicle tracking/counting and classification models form videos using Open CV, Deep Neural Networks (CNN)
∑ Build predictive models using various machine learning tools to predict Medical claim fraud detection for health care client
∑ Develop time series forecast models for retail client to forecast future sales for different frequency(Yearly, Monthly_ _ etc)
Knowledgecrop consulting pvt ltd. Delhi, IN
12/14–12/18
∑ Worked as SAP Full Stack Developer to build Native and Cloud based Apps using technologies like JavaScript, SAP UI5, and ABAP
PROJECTS
Vehicle-Detection/Tracking Application (12/2020 - 09/2021)
∑ Developed an application to detect and count Vehicles in videos using Open CV and Deep Neural networks (CNN based architecture)
∑ This application takes videos and create image files of all detected object and used CNN based model to classify into predefined vehicle class(two wheeler, three wheeler, heavy vehicle _ _ etc)
∑ TECHNOLOGIES ADOPTED : Python,lib(OpenCV, keras,matplotlib)
∑ Py torch (python framework).
∑ MY ROLE : Developer (Total 5 Members)
Forecasting Sales for Retail Stores (12/2019 - 10/2020)
∑ Implement time-series forecasting models to forecast future sales in retail stores for different frequency using two year historical data
∑ This application used two years of historical data for each item at different hierarchy levels(country, region, store _ _etc) and implement time series forecast models(holt winters, single exponential smoothing, last moving average, fbprophet) and predict future forecast based for dynamically defined customer based future forecast horizon
∑ TECHNOLOGIES ADOPTED : Python, lib(sktime, sklearn, statsmodels, matplotlib)
∑ Py torch (python framework).
∑ MY ROLE : Developer
Mediclaim fraud detection model (02/2019 - 10/2019)
∑ Developed an application to detect medical claim fraud from customer text and previous claim history
∑ This application takes customer text and previous history from CRM database as training data and implement series of models (logistic, decision tree, random forest, xg boost) and ensemble the final result
∑ TECHNOLOGIES ADOPTED : Python, lib(OpenCV, py tesaract , nltk, sklearn, matplotlib)
∑ Py torch (python framework).
∑ MY ROLE : Developer (Total 5 Members)
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