RANJAN PADHY
Resume Jr. Data Analyst
26 June 2019y.Kharkiv
- Education—
- Work experiencedoes not matter
- Job typeany
- Work typeany
Professional skills
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04/2019 - Ongoing
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01/20************
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R
Python
Machine Learning
Tensorflow
PyTorch
Scikit-learn
Season
Plotly
Tableau
AWS
Hadoop
Hive
Pig
Hbase
Spark
Flume
Sqoop
Oozie
Kafka
Oracle
DB2
SQL Server
Netezza
Redshift
SSMS
SSIS
JIRA
HP ALM
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03/20************
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www.enhancv.com
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***** RANJAN PADHY
Junior Data Science
Show contacts (tel:+**************)
*****padhy434 gmail.com (mailto:***********************)
https://www.linkedin.com/in/*****-padhy-75
1b17aa/ (https://www.linkedin.com/in/*****-padhy-751b17aa/)
Nice, France
EXPERIENCE
Data Science Research Intern
MyDataModels
Nice, France
Company Description
Performing pre-processing on raw datasets before building models.
Conducting a data regression analysis of the relationship between
company Prediction prices and industry trends, achieving a certain
percentage more accurate prediction of performance than previous
years.
Increasing accessibility and usability of customer data by redesigning
data visualization techniques Matplotlib, Seabon, & Plotly) to include
statistical graphs and information graphics.
Using predictive analytics such as machine learning and data mining
techniques to forecast company sales of new products with an 85%
accuracy rate and sometimes more.
Utilizing algorithmic and programming tools to build helpful predictive
models and also Serving as a thoughtful adviser, working with Sales
and Marketing professionals.
Technical Lead
CitiusTech Healthcare Technology Pvt LTd
Mumbai, India
Healthcare Domain
Standardized practices for data acquisition & analysis to deliver new
products using Big Data technologies.
Overcame challenges of storing & processing voluminous
structured/semi-structured data via BD Hadoop Framework.
Transferred data into HDFS & analyzed user activities on the platform
to screen top-rated links via Hive & MapReduce.
Experience in Informatica Tool and Hadoop SYSTEM SQOOP &
FLUME for getting the huge volume of data processing in Data
Warehouse and HDFS.
Deployed Pig, Hive & MapReduce for data processing & Flume to
transfer log files from multiple sources to HDFS Key Achievements.
Prepared complex Join Queries using Hive and T SQL as per the
requirements.
Monitored, troubleshoot and aided with ETL/ELT/SSIS and logged the
defects in JIRA.
Knowledge of Waterfall model, Agile SCRUM Methodology, Star
Schema, Snowflake Schema etc.
Hands on experience in Test Plan, Test Scenarios, Root Cause
Analysis RCA , Audit Checklist documents.
SKILLS
PROJECTS
House Price Advanced
Research
Nice, France
Regression Analysis Implementing ML Algo)
Applying different types of ML algorithm like
Linear Reg, Lasso Reg, Ridge Reg, ElasticNet
Reg, BaysianRidge Reg, Polynomial Reg,
Gradient Boosting Reg, and Random Forest
etc.
Finding the Mean Square Error MSE , Root
Mean Square Error RMSE , and R Squared for
the validation point of view after doing Pre-
processing the data.
Setting the benchmark while comparing with
the real time engine which is in-house
product.
Plotting different graphs using Matplotlib,
Seabon, Plotly in Python.
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P
(https://github.com/*****p/)
www.enhancv.com
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EXPERIENCE
Software Engineer
IBM India Pvt Ltd
Mumbai, India
Insurance Domain
Knowledge of Waterfall model, Agile SCRUM Methodology.
Performed peer to peer QA DB code reviews, client Walkthrough,
story grooming, and retrospective meetings.
worked in OLTP and OLAP system and PL/SQL Stored Procedure,
Functions, etc) and hands-on experience in SQL Complex Queries,
Joins, and Sub Queries, etc).
Junior O cer
Reliance Communications
Mumbai, India
Telecommunications Domain
Used Tools like TOAD, IBM Clear Case and Clear Quest.
Hands-on experience in SQL Complex Queries, Joins, and Sub
Queries etc).
Reported test results and bugs found during testing effectively.
EDUCATION
Applied MSc in Data Science and
Big Data
Data ScienceTech Institute, Nice, France
PCT
85
100
Master in Computer and
Applicatons (MCA)
Punjab Technical University, India
PCT
70
100
BSc in Mathematics (Hons)
Berhampur University, India
PCT
85
100
PROJECTS
Restaurant Revenue
Prediction
Nice, France
Regression Analysis Implementing ML Algo)
Applying different types of ML algorithm like
Linear Reg, Lasso Reg, Ridge Reg, ElasticNet
Reg, BaysianRidge Reg, Polynomial Reg,
Gradient Boosting Reg, Random Forest etc.
Finding the MSE, RMSE, and R Squared for
the validation point of view after doing Pre-
processing the data.
Plotting different graphs using Matplotlib,
Seabon, Plotly in Python.
ACHIEVEMENTS
"The best Quality" awarded by
CITIUSTECH for outstanding
performance 2018 .
Received for delivering a complex
project in that year.
FIND ME ONLINE
GitHub: (https://github.com/*****p/)
https://github.com/*****p/ (https://github.com/*****p/)
Skype Name:
*****padhy