Ashutosh (RID : 210uloo4kayw)

Data Scientist

Location : Noida

Experience : 15 Year

Rate: $17 / Hourly

Availability : Immediate

Work From : Offsite

Category : Information Technology & Services

Shortlisted : 1

Total Views : 45

Key Skills

Data Scientist SQL PySpark Data bricks Agile JIRA Linux Hadoop

Discription

CURRENTROLES&RESPONSIBILITIES>

Develop&documentdatamodels&transformationrulesalignedwithbusinessneeds.
Managevendor/internaldatadictionaries,ensuringconsistentmappings.
Addressdataqualityconcerns,servingasabridgebetweenbusinessintelligence& dataengineeringteams.
Certifynewlyingesteddatasets,identifyingactionablepatternsforproprietarymetricsdevelopment.
Apply statistical testing & evaluate diverse models for predictions (Linear/Logistic regression, Random Forest,Boosting,Neuralnetworks).
Createinsightfulproject dashboardsusingTableau& leveragePython& Pandasfordatamanipulation&analysis.
ProficientinPython,SQL,PySpark&Databricksfordataanalysis& automation.
ImplementbestpracticesinPythondevelopment,focusingonpandasforeffectivedatamanipulation.
Actasaliaisonbetweenbusinessintelligence& dataengineeringteamstostreamlinecommunication.
ConstructETL,CI/CDpipelines usingGitlab,Bitbucket,&variousDevOpstechnologies.
Exhibitproficiencyinmachine learning,statistics,&AgileprojectmanagementwithJIRA.

<SKILLSSETSUMMARY>

[IndustryExpertise]:Telecom,RealEstate,Automotive,AIContentMarketing,DatabaseMarketing,CRM,DMS,B2BSecuritySolutions(Knox,EDM,MDM),UnstructuredIoTSensorData,ProductSalesData,ElectronicChipsets
[Statistical Analysis and Testing]: Descriptive Stats, Inferential Stats, Hypothesis Testing (T-test, ANOVA, Chi-squared,Z-test,Correlation),DistributionAnalysis
[TechnicalSkills]:Python,PySpark,R, SQL,HQL, Hive,JIRA,Confluence, Github,Bitbucket,Linux,Hadoop,BigData
[MachineLearning]:Linear&LogisticRegression, RandomForest, Boosting,TimeSeries,KNN,K-meansclustering
[DeepLearning]:NeuralNetwork,CNN,RNN,LSTM,NLP
[Frameworks&Libraries]:Databricks,LakeHouse/DeltaLake,Anaconda,JupyterNotebook,JupyterLab,Kaggle,Numpy,Pandas,Matplotlib, Seaborn,Sci-py, SkLearn,Steamlit,NLTK,Keras, Tensorflow
[Data Management & Visualization]: Database Design & Management, Data Quality Assessment, Data Analysis,Pattern&TrendIdentification,VisualizationofData Insights (Tableau,Excel,Powerpoint,Plotly, Seaborn)
[Generaltools&methodology]:Agileceremony,Scrum,Sprint,JIRA,Confluence,VSCode,InsomniaAPI
[Leadership skills]: Documentation & reporting, Team handling, Self-motivated, Team builder, Goal-oriented,Commitment,Creativity,Quicklearnerinnewtechnologies& tools.
[Onsiteexperience]:USA,SouthKorea

<RECENT (Confidential)>

- AVMModel (2022-Present) |Role:Sr.DataScientist
  - Toestimate thepriceofanyRealestatepropertybasedontheirfeature
- CanonicalRealtors(2022-Preset)|Role:Sr.DataScientist
  - Tofindthecanonicalrealtorswhichmayhave differentdemographybutsameperson

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