We have
an excellent Consultant on Data Scientist / Machine Learning Engineer available
immediately for contract roles.
Name
- Sushmitha Suresh
Technology
- Data Scientist / Machine Learning Engineer
Exp in
Yrs. - 6 Yrs.
Location
- San Francisco, CA
Relocation -
Open
Availability
- Immediately
Visa -
H1B
Professional
Summary:
·
Around 6 years
of experience as a Data Scientist with proven expertise in Data Analysis,
Machine Learning, and Big Data.
·
Having Experience in
all phases of diverse technology projects specializing in Data Science and
Machine Learning.
·
Expertise in
transforming business requirements into analytical models, designing
algorithms, building models, developing data mining and reporting solutions
that scale across a massive volume of structured and unstructured data.
·
Proven expertise in
employing techniques for Supervised and Unsupervised (Clustering,
Classification, PCA, Decision trees, KNN, SVM) learning, Predictive Analytics,
Optimization Methods, and Natural Language Processing (NLP), Time Series
Analysis.
·
Experienced in Machine
Learning Regression Algorithms like Simple, Multiple, Polynomial, SVR
(Support Vector Regression), Decision Tree Regression, Random Forest
Regression.
·
Experienced in
advanced statistical analysis and predictive modeling in the structured and
unstructured data environment.
·
Experience in R - Data
Cleansing, ability to provide concise data reports (RMarkdown), data
visualizations (GGPLOT2), Building Prediction models and Text Analysis.
·
Strong expertise in
Business and Data Analysis, Data Profiling, Data Migration, Data
Conversion, Data Quality, Data Governance, Data Lineage, Data Integration
·
Hands on experience of
Data Science libraries in Python such as Pandas, NumPy, SciPy, Scikit
-learn, Matplotlib, Seaborn, Beautiful Soup, Orange, Rpy2, Lib SVM,
neuro-lab, NLTK.
·
Solid understanding of
AWS (Amazon Web Services) S3, EC2, Apache Spark, Scala process and
concepts.
·
Good Understanding of
working on Artificial Neural Networks and Deep Learning models using
TensorFlow packages in Python.
·
Extensive knowledge of
Neural Networks (Deep Learning)- Single-layer perceptron, Multilayer
perceptron, Learning algorithms, Convolutional Neural Networks,
Backpropagation, Focused Time Lagged Feedforward Networks, Distributed Time
Lagged Feedforward Networks and Recurrent Neural Networks
·
Experience in various
phases of Software Development life cycle (Analysis, Requirements gathering,
Designing) with expertise in writing/documenting Technical Design Document
(TDD), Functional Specification Document (FSD), Test
Plans, GAP Analysis and Source to Target mapping documents.
·
Excellent
understanding of Hadoop architecture and Map Reduce concepts and HDFS
Framework.
·
Strong understanding
of project life cycle and SDLC methodologies including RUP, RAD, Waterfall and
Agile.
·
Efficiently accessed
data via multiple vectors (e.g., NFS, FTP, SSH, SQL, Sqoop, Flume, Spark).
·
Very good knowledge
and understanding of Microsoft SQL Server, Snowflake, Teradata, Hadoop/Hive.
·
Strong expertise
in ETL, Data warehousing, Operational Data Store (ODS), Data Marts,
OLAP and OLTP technologies.
·
Mitigated risk factors
through careful analysis of financial and statistical data. Transformed and
processed raw data for further analysis, visualization, and modeling.
Technical Skills:
|
Machine Learning
Algorithms |
Regression, Support Vector
Machine, Decision Trees, Ensemble Learning, Clustering, Causal Discovery,
Neural Networks and Deep Learning, Linear Regression (Rigid, Lasso) &
Logistic Regression, Classification (KNN, SVM), Decision Trees, Time series analysis,
Hierarchical Clustering, K-Means
Clustering, Ensemble methods (Random Forest, Ada Boost, Gradient
Boost, XGBoost) |
|
Data Science |
Predictive Analytics,
Descriptive Statistics, Data Mining, Data Wrangling, Data Visualization,
Feature Extraction, Pattern Discovery, Topic Modelling and Sentiment
Analysis. |
|
Big Data |
Hadoop, Spark, Map Reduce, Spark
Core, Spark SQL, HIVE, HDFS, HBase, Kafka |
|
Python Skills |
Numpy, Scipy, Sklearn, Pandas,
Matplotlib, NLTK, beautifulsoup, pyunit |
|
BI Tools |
Microsoft Power BI, Tableau |
|
Software/Libraries |
Keras, Caffe, TensorFlow,
OpenCV, Scikit-learn, Pandas, NumPy, Microsoft Visual Studio, Microsoft
Office. |
|
Development Tools |
Microsoft SQL Studio, IntelliJ,
Eclipse, NetBeans |
|
Development Methodologies |
Agile/Scrum, UML, Design
Patterns, Waterfall |
|
Reporting Tools |
MS Office
(Word/Excel/PowerPoint/ Visio/Outlook) |
|
Database Design Tools & Data
Modeling |
Star Schema/Snowflake Schema
modeling, Fact & Dimensions tables, Normalization and Denormalization
techniques |
Education:
·
Bachelor of Engineering,
Visvesvaraya Technological University India.
If you
have any requirements matching to this profile, please revert with the job
description.
? Best Regards,
Rakesh| Exa Data
Solutions, Inc
15
Corporate Place South, Suite # 320 Piscataway, NJ - 08854
(: 908-905-5678
EXT:746 | *:rake...@exadatainc.com
¾
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