ARCHANA
LOKHANDE
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Mobile: (-
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Email:-
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Address: Tallinn, Estonia, EU
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LinkedIn:
linkedin.com/in/archanalokhande
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Language: English, Hindi
Key Skill Specialization
• Oracle, PostgreSQL
• Data Visualization Tool -Power BI
• Python for Data Science
Data Analyst - Immediate Available
SUMMARY
Highly motivated and detail-oriented data analyst with 4 years of research experience
in Big Data analytics and a passion for leveraging data to drive business decisions.
Proficient in SQL, Python, and data visualization tools like PowerBI. Completed
multiple coursework projects in data analysis, including data cleaning, data
visualization, and statistical analysis. Skilled in critical thinking and problem-solving
with experience in working in a team. Seeking an opportunity to leverage my skills
and knowledge to provide valuable insights to organizations.
WORK EXPERIENCE
QA Engineer Intern, Kuehne+Nagel, Estonia | Oct 2022 – Dec 2022
Project: WFMS (Work Force Management System)
Responsibilities:
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Collaborated with an Agile team to complete projects efficiently and effective.
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Actively participated in daily standup meetings.
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Creation and execution of test scenarios, and test cases for various interfaces of
WFMS.
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Creation of test data against functional specification.
• Jupyter Notebook for Python DS
• Microsoft Office
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Wireshark for data collection
• Bigdata Analytics
• Machine learning
• Hadoop-MapReduce
• JIRA for Test Management
• Q.C for Bug Tracking
• AWS
Research Associates, Ariel University, Israel | May 2017- May 2019
Responsibilities:
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Perform research and detailed analysis to build a Machine Learning (ML) system
for the problem domain.
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Perform data collection and statistical analyses using Microsoft Excel and Python.
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Applied concepts of Python with Jupyter Notebook, Pandas, Numpy, Matplotlib,
Seaborn, Scikit etc. libraries to transform raw data into meaningful, actionable
information for the problem domain.
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Created visually impactful dashboards using Python libraries and Excel to
identify key matrices.
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Implemented ML models to increase the accuracy from 93% to 96% with the new
features for the problem domain.
Research Fellow, CBNU, South Korea | Sept 2014 –Sept 2016
HOBBIES
Responsibilities:
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Developed Similarity Joins algorithm for MapReduce Framework
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REFERENCES
Design and implementation of a partition-based filtering matrix on MapReduce
Framework.
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Debugging and performance evaluation of the work
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Raffi Hampartsoumian, Product Lead,
Kuehne + Nagel, Tallinn, Estonia.
Phone -
Email:
raffi.hampartsoumian@kuehne
nagel.com
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Published 1 scientific article as 1st author in AIEEE journals.
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Presented research progress and results at the national conference.
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Analyzing business requirements documents and Functional Specs.
Prof. Jae-Woo Chang
CBNU, South korea.
Email:-
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Designing, developing, and executing test cases to validate the functionality of the
applications.
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Team collaboration and intimating the status of the project.
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Performing functional and regression testing.
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Yoga, Badminton, Traveling.
Subhasis Routray, CTO, Molybednum
Technology Pvt Ltd, India.
Email:-
Test Engineer, Molybdenum Technology Solutions, India | Feb 2012 – May 2013
Responsibilities:
EDUCATION
Master Science (MS), Chonbuk National University, South Korea |- .
