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@shivampanchal
Flag of India Kandhala, Shamli, Uttar Pradesh, India
Member since May 21, 2016
9 Recommendations

shivampanchal

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I am a machine-learning practitioner with 4+ years of experience in data mining, deep learning, statistical modelling, stock markets, telecom, banking, insurance, healthcare and business development. - Highly proficient in Python and R. - Experienced in building end-to-end pipelines for data manipulation, modelling, model deployment and optimizations. - Knowledge of variety of data visualization - Knowledge of variety of machine-learning algorithms: - Regression (Linear, Logistic Regression, Multiple, GLM) - Statistical Modelling (Cluster Analysis, Decision Trees, Regression) - Classification (Naive Bayes, Support Vector Machine,Decision trees, Ensembles - Random forests, Gradient Boosting) - K Means/ hierarchical/DBSCAN/Affinity/Agglomerative/Spectral) DeepNets/Theano/Keras/Tensorflow/CNN/LSTM/ImageProcessing/StockPrediction/Predictive Modelling/Pytorch/Theano. - HoltWinters, ARIMA - Tools (Tableau, QlikView, QlikSense) - Database Management System- MySQL, MongoDB
$25 USD/hr
115 reviews
7.2
  • 98%Jobs Completed
  • 89%On Budget
  • 88%On Time
  • 13%Repeat Hire Rate

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Experience

Data Scientist

Sep 2018 - Nov 2019 (1 year)

I was engaged in the following technologies as part of my responsibilities. Deep Learning based Forecasting Models, Churn Prediction Chat bot with Dialogue Flow and Natural Language Processing Integration of a Data Visualization and Reporting with Process Work Flow.

Data Scientist

Jul 2017 - Jul 2019 (2 years)

Stock Analysis and Time Series Analysis Building Hybrid Machine Learning and Deep Learning based forecasting model

Data Analyst

Jun 2017 - Mar 2018 (9 months)

Data Insights and Reporting over multiple sources of data using Postgre SQL and Report Server. Daily Scripts / APIs / Services for reporting mails and alerts for all Google ODK for AUSFB - Insurance Data. Data Visualizations for Data Analytics across all verticals using Tableau Order flow management to reduce process flow time between various components of Data pipeline. Learning Module Development for Deep Learning (Keras+Tensorflow)

Certifications

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    92%
  • US English Level 1
    83%

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