Data Science Scientist

PERSONAL INFORMATION

Email

*******.***************@*****.**

m

Mobile

+91-636*******

Total work experience

* ***** * *****

KEY SKILLS

Power Bi

Data Analytics

Python

Scikit-Learn

Artificial Intelligence

Artificial Neural Networks

Machine Learning

Data Science

Natural Language Processing

Data Modeling

AWS

Data Processing

ETL

Pytorch

SQL

Azure Cloud

PROFILE SUMMARY

Experience in Information Technology industry dedicated to optimization experienced Data scientist engineer understands the melding of operations and development to quickly deliver code to customers as well as data development in Linux systems. I am having 6.2 years experience in data scientist with AI/ML .Looking for data scientists for onsite with good communication skills. EDUCATION

2012

2010

WORK EXPERIENCE

Vandana Yadav

cosultant

MBA/PGDM

Bharathiar University, Coimbatore

B.B.A/ B.M.S

Chhatrapati Shahu Ji Maharaj University

(CSJMU)

GCP

Statistical Modeling

OTHER PERSONAL DETAILS

City Bengaluru

Country INDIA

HOBBIES

Travelling, Reading

LANGUAGES

ENGLISH

HINDI

Apr 2018 -

Present

Projects

cosultant

infotel india pvt ltd

- Demonstrated 6.2 years of expertise in Data Science with a strong focus on AI/ML.

- Currently serving as a consultant, leading and

overseeing all project tasks and responsibilities. Roles & Responsibilities

Delivering a broad range of Data Science, Machine

Learning and Artificial Intelligence engagements in a variety of areas such supervised and

unsupervised machine learning, natural language

processing and optimization

Collaborate with other data science teams,

business partners across business units and

recommend employee experience/service

improvements across the enterprise

Bringing technical and practical insight in to how clients might use data science and AI more

effectively to manage risk across their business,

both as part of specific projects and as added

value to the services we currently provide

Keep up to date with new machine learning

techniques, technologies, architectures and

languages where necessary

Own and run the agile backlog for data science

analytical activity

Lead Data Science team to successful delivery

Conduct data analysis using advanced skills in

statistics and database management

Promote new techniques and approaches

continuously review and adapt external

developments

Acting as an internal enablement resource for

client- facing sales and presales resources,

marketing resources

Participate in the implementation of and use of

leading- edge data warehouse / big data

technologies including software, end-user tools

and other data services

60 Months

COURSES & CERTIFICATIONS

SKILLS

CBA (Tech Lead)

Customer Churn Prediction Using GCP

Build a machine learning model to predict customer churn for a telecom company using GCP services.

Technology: GCP BigQuery DataFlow

Hyperpaarmeter Tunning

Image Classification for Medical Diagnostics

Develop a deep learning model to classify medical

images (e.g., X-rays, CT scans) for diagnostic

purposes using GCP

Technoloy: GCP BigQuery

Housing Price Prediction

Prediction of Sale Price of Houses in USA based on various features.

Technology: Random Forest Python

Twitter Text Mining

Extract data from twitter and Predict the sentiments on Demonetization in India

Technology: Naive Bayes Theorem Python

LENDING CLUB

Predict the decline in the cost of Personal Loan

Technology: Logistic Regression Python Business

Intelligence Analyst

Adventure Work Cycle

Build Business Intelligence Analysis model, create Dashboard of Final Annual Report

Technology: Power BI Power BI Developer ABC Bank

Build Dashboard Report on the top customers of the bank

Associate Degree Executive Program in Advanced Data Science Certificate Program Rotman School of Management Toronto University Data Visualization with Power BI Jaro Connect

Certification Advance Power Business Intelligence (PBI) Nurture Tech Academy

Machine Learning: Classification, Clustering, Regression, Fraud Detection, Natural Language Processing, Recommender System, Social Network Mining

Statistics: Probability, Distribution, Hypothesis Testing, A/B Testing, Regressions, and Time Series Analysis Programming languages: Python

(SciKit-Learn, Pandas, and NumPy), Scala

Database: MySQL, Amazon Redshift, SQL Server

Big Data: Spark (MLlib), Hive, Hadoop, MapReduce Visualization: Tableau, Python (Matplotlib, Seaborn), SAS, and D3.js

Contact this candidate