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Business Improvement Specialist Profile

Pooja Rahangdale is a results-oriented Business Improvement Specialist with experience enhancing organizational efficiency and performance. She has experience with Python, SQL, MS Excel, Power BI, and machine learning models. Her experience includes projects analyzing sales insights, e-commerce data, and credit card approvals. She has a B.Tech from Sant Gadge Baba Amaravati University and certificates in Full Stack Python Development, Data Science Bootcamp, and SQL.

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0% found this document useful (0 votes)
34 views1 page

Business Improvement Specialist Profile

Pooja Rahangdale is a results-oriented Business Improvement Specialist with experience enhancing organizational efficiency and performance. She has experience with Python, SQL, MS Excel, Power BI, and machine learning models. Her experience includes projects analyzing sales insights, e-commerce data, and credit card approvals. She has a B.Tech from Sant Gadge Baba Amaravati University and certificates in Full Stack Python Development, Data Science Bootcamp, and SQL.

Uploaded by

asamithsoni
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We take content rights seriously. If you suspect this is your content, claim it here.
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Pooja Rahangdale

”Results-oriented and detail-driven Business Improvement Specialist with a proven track record in enhancing organizational efficiency
and performance".

poojarahangdale1999@gmail.com +91 8208956835

Hydrabad, India linkedin.com/in/pooja-rahangdale-8b3914161

github.com/Poojarahangdale22

PROJECT EXPERIENCE SKILLS


Sales Insight Python SQL MS-Excel PowerBI
SQl, Power BI, Excel, DAX
06/2023 - 07/2023,
Django Vlookup Xlookup Pivot Table
https://www.novypro.com/project/business-insights---360-2
MS SQL Server Data Analysis
Designed a Power BI dashboard to understand AtliQ hardware’s
last 4 years’ sales trends. Machine Learning Deep learning
This dashboard could assist in raising the revenue at least by 7% in
the next quarter
Established a Power BI dashboard gathering sales data from 2
different sources (Excel/CSV files and a SQL database) . WORK EXPERIENCE
Optimized with DAX Studio, resulting in a 5% performance boost
and projected 10% revenue growth and 20% data related expense Atliq Technologies - Data Analyst Intern
reduction (06/2023 - Present)
Used Power BI,Excel,SQL for data analysis and enables
stakeholders to assess the country’s performance and
E-commerce Data Analysis compare it to set targets
SQL Skill Learned: Visualization, Data Manipulation, Data
Management, ETL, Dashboarding, Stakeholder Management
05/2023 - 06/2023,
Project
Engineered intricate SQL queries with JOINs, CTEs, and
subqueries, driving data retrieval accuracy. CERTIFICATES
Uncover valuable insights that can enhance decision-making, boost Full Stack Python Web Development From Firstbit
sales, and provide a competitive advantage for E-commerce Solutions (05/2022 - 11/2022)
businesses Developed a Social Media Website where, user can Add post with
captions . User can follow the already registered users . Users can
Edit the profile with information as well as profile picture In this
Machine Learning Project On Credit Card project, used SMTP server of Gmail where after signup the
Approval automatic signup mail will sent to new user
Data Science Bootcamp Odinschool Data Science Bootcamp From OdinSchool
10/2023 - Present, (05/2023 - 10/2023)
Courses Worked on variety of data sources, project scenarios and various
Objective: The objective of the analysis was to assess whether a data analysis tools including Excel, SQL, Python, Power BI and
Jupyter notebook with gaining in data manipulation, data
customer should be approved for a credit card based on various analysis and data visualization.
documents and information provided.
Outcome: The analysis is divided into two parts: SQL analysis and
machine learning analysis.
For the machine learning part, various machine learning models
ACHIEVEMENTS
were employed, including Linear Regression, SVM, Decision Tree, SQL(Advanced) Certificate By Hackerank
and Linear Classification. (08/2023 - 09/2023)
For the SQL analysis, the focus was on data cleaning, data Skills learned: Window Functions,Case Statement,CTE,Stored
visualization, and extracting meaningful insights from the dataset. Procedure,Subquery,etc

The performance of each model is evaluated , and it was found Got Young Scientist Award From Nobel Research
that SVM and Linear Classification achieved an accuracy of 88.9%. Academy (05/2021 - 12/2021)
Worked with the R&D and learned about the future aspects of the
company and the difficulties faced during a change in product or
quantity to be produced. Also worked in the field analyzing
EDUCATION reactors and all the other equipements

B.Tech
Sant Gadge Baba Amaravati University
08/2017 - 08/2021,

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